If you are a WindowsInsider then the latest update to Windows 11 (which will soon become mainstream) brings a mixture of new features and subtle, but important redesign. Let’s taken a look.
New File Sharing Tools
One of the standout features in the new update is an enhanced file-sharing menu. This new tool appears at the top of the screen whenever you drag a file out of a folder.
New native file sharing in Windows 11
It presents an array of icons for apps like WhatsApp, My Phone, and Microsoft Teams, allowing for seamless sharing directly through these platforms. Additionally, you can now share files from jump lists on the taskbar, making it even easier to send documents, images, and PDFs.
Redesigned Start Menu
The Start Menu, which was relocated to the center of the taskbar with Windows 11, has received several layout options in this update. Users can now choose between grid or category views for the All Apps page.
New desktop grid view in Windows 11
As you can see if the image above, the new grid view maintains alphabetical ordering, but extends the layout sideways to fit more apps on screen, reducing the need for scrolling. The category view groups applications under headings like social, productivity, and entertainment, with the most-used apps highlighted for quick access.
This is much easier to use and more pleasing on the eye in my option. What do you think?
Multiple App Access to Webcam
In response to feedback from users, Microsoft will now allow multiple apps to access a webcam simultaneously (though there are some hardware limitations).
One of the primary benefits of this new feature is that, for the first time you can leverage video streaming for both a sign language interpreter and the end audience at the same time, enhancing accessibility.
It can also of course be used for multiple apps using the same camera without having to close the other app or turn the camera off.
Summary
The changes to the Windows 11 desktop in my opinion provide some really useful features and redesigns.
To test these now you need to be a WindowsInsider and being pre release their may be bugs and refinements before the updates hit mainstream users.
Interesting article I read today about how the UK government is looking to change around the use of creative content without authors permission unless they choose to opt out.
The Government’s proposal is to change the laws to favour tech platforms, allowing them to use content without permission or payment unless the authors / creators specifically opt out.
Concerns
Creator and authors are challenging this arguing that this shifts the burden onto them. They believe that tech companies pay for using their content and training models based on their content.
They are urging the government to enforce copyright laws to ensure fair compensation for creators, securing the future of creativity and AI but in a way that protects the authors and creators of content.
The article calls for UK people to back this plan urging the UK government to enforce copyright laws to ensure fair compensation for creators and authors.
Where do you stand?
This is a tricky one for me as today, I feel most content LLMs are trained on are US based data sources and I would love to see more content based on UK data (after all I am British). At the same point, if a levvy is introduced and royalties paid a model for recouping costs is needed which may lead to this content being excluded in LLM training. This could lead to more bias and still leave them “out of pocket”.
Microsoft has announced a groundbreaking development in the field of quantum computing with the unveiling of a new chip called Majorana 1. This chip is poised to revolutionize the way we approach complex problems by enabling the creation of quantum computers capable of solving “meaningful, industrial-scale problems in years, not decades.” as part of the final phase of the Defense Advanced Research Projects Agency (DARPA) Underexplored Systems for Utility-Scale Quantum Computing (US2QC) program
What is Quantum Computing?
The tech stuff… Bear with me….
Quantum computing leverages the principles of particle physics to create a new type of computer that can solve problems far beyond the capabilities of traditional computers that we are familiar with. These quantum machines hold the promise of performing calculations that would take today’s systems millions of years, potentially unlocking discoveries in fields such as medicine, chemistry, and more.
But… as I just said to my son… It’s not about making Minecraft run faster!
Microsoft’s Majorana 1 Chip
Microsoft’s new chip, Majorana 1, is built using a “topological conductor,” a revolutionary new material that creates a new state of matter known as a “topological state.” This state is neither a gas, liquid, nor solid and has only recently been realized in practice. In short (and i don’t really understand the science here) this chip relies on Majorana particles, which were previously considered theoretical, to achieve its quantum capabilities.
Built with a breakthrough class of materials called a topoconductor, Microsoft’s Majorana 1 marks a transformative leap toward practical quantum computing.
This means that while the typical computer and even super computers we know today struggle with certain types of problems, quantum computers have the potential to solve them rapidly.
Microsoft say that their Majorana 1 chip will accelerate the development of quantum computers, bringing us closer to solving real-world problems more quickly than previously anticipated in real human capacity thinking and beyond.
This research and development is hugely expensive, though oy appears that their pursuit of quantum computing appears to be paying off, since if successful as it promises could be as revolutionary as the invention of semiconductors was for classical computing.
The Majorana 1 chip currently features eight topological qubits. While this is fewer than some competitors, Microsoft claims it has a pathway to scaling this up to a million qubits, potentially creating immense computing power.
Personal computing to Quantum Computing… What’s the difference?
Let’s take a look to compare the differences..
Personal computing
Definition: Refers to individual use of computers/laptops for daily tasks such as work and home
Capabilities: Limited processing power and storage capacity. Typically used for tasks like browsing the internet, word processing, Excel, presentations, gaming, and personal software applications.
Data centre computing
Definition: Centralised computing resources used by businesses and organisations.
Capabilities: High processing power, large storage capacity, and redundant systems for reliability. Often used for managing, storing, and processing large amounts of data.
Practical Uses:
Hosting Websites: Running web servers and handling online traffic.
Enterprise Applications: Supporting business applications like CRM, ERP, and databases.
PrivateCloud Services: Providing infrastructure, platform, and software as a service (IaaS, PaaS, SaaS) etc
Super Computers
Definition: Extremely powerful computers designed for complex calculations and simulations.
Capabilities: Thousands of processors working in parallel, capable of performing trillions of calculations per second. Used for scientific research and advanced simulations.
Practical Uses:
Climate Modeling: Simulating and predicting weather patterns and climate change.
Scientific Research: Conducting simulations for physics, chemistry, and biology experiments.
Cryptography: Breaking complex codes and improving security algorithms.
Quantum Computing
Definition: Uses principles of quantum mechanics to perform calculations far beyond the capabilities of classical computers.
Capabilities: Leverages quantum bits (qubits) to perform multiple calculations simultaneously, offering exponentially faster processing speeds for certain tasks.
Practical Uses:
Medical Research: Discovering new drug compounds and optimising treatment plans.
Artificial Intelligence: Enhancing AI capabilities for more accurate predictions and complex data analysis.
Logistics Optimisation: Solving complex optimisation problems for supply chain and logistics.
Real-World Implications
The announcement of the Majorana 1 chip is (or will be) a leap frog development that signals rapid advancements in quantum computing. those less technical, it means that the future of technology holds even more promise, with potential solutions to some of the world’s most challenging problems within reach.
Even Elon Musk responded to Sayta Nadella’s post. Quoting the his post and commenting “More and more breakthroughs with quantum computing …”
Conclusion
Microsoft’s Majorana 1 chip clearly represents a quantum leap in technology, bringing us closer to harnessing the full potential of quantum computing. As we move forward, the advancements in this field will undoubtedly shape the future in ways we can only begin to imagine.
The next few years will be critical as this technology gets closer and closer to reality and Usability.
In an new update announced on the Microsoft 365 Insider blog this week, Microsoft has announced that Copilot in Excel will soon be able to reference documents in Word, Excel, PowerPoint, and PDF formats jyst like the other officee apps can. This enhancement significantly expands the capabilities of Copilot in Excel, making it a more powerful tool for users.
With this update, you can now ask Copilot to perform tasks such as displaying to-do items in a table or organising emails with columns for the sender and subject line. This feature is particularly useful when you need to combine data from various sources, including public statistics from the web, internal documents, organisational details, or tables from another Excel files or contained in Word docs.
Getting Started with the New Feature
To take advantage of this new functionality, you need to meet the following minimum requirements:
Windows: Build 17729.20000 or later
Mac: Build 24053110 or later
Copilot license
Web search enabled
Stable internet connection
Upcoming Web Version and Limitations
Microsoft has announced that this update will soon be available for the web version of Excel. However, there are some limitations to be aware of. For example, refreshable data imports only work for Excel files with tables stored on SharePoint or OneDrive. Additionally, there is limited support for handling workbook and external data simultaneously.
Recent Updates to Copilot in Excel
Copilot in Excel has received several updates in recent months, further enhancing its functionality. One of my favourite features is the Clean Data feature, which addresses issues such as text and number inconsistencies.
Copilot has been integrated into the Excel start up experience, enabling users to use Copilot to explain what they want to create and receive improvement suggestions.
Looking Ahead: More Features on the Horizon
With Microsoft’s global AI tour taking place in cities around the world, including a stop in the UK on March 5th, we can expect even more exciting features to be announced soon. These updates highlight Microsoft’s commitment to continually improving Copilot and making it an indispensable tool for Excel users.
Stay tuned to my blog for more updates in Copilot and bookmark the Microsoft 365 Road map page.
…and that’s what the innovations and announcements at Cisco Live this week were all centered around. in networking, security, data centers, and more that we unveiled at Cisco Live EMEA are all about.
Reliving the past to innovate the future
The Cisco Live keynote began with Oliver Tuszik [President, Cisco EMEA] walking us through the 40-year history of Cisco’s innovations that powered big data, IoT, and cloud computing – reminding us that Cisco has been here since the beginning of the internet days and how their technology is what powered the internet and cloud generation we are all now firmly in.
In his opening, he said that “every business in this world will become a technology company,” stating that every organisation is or will soon face three main challenges in this journey:
Unlocking the power of AI, especially as we move out of the ‘hype cycle’ of AI, with companies now seeing tangible, real-world efficiency and productivity gains using the technology, but with only 7% of European companies being “AI ready”.
Killing complexity. “Everything is growing fast” as companies scale and grow their technologies in the face of the skills shortage. To do this they need to re-invent, simplify, and consolidate complex technology and multi-vendor products into solutions.
Strengthening digital resilience.“Digital resilience is business resilience,” especially if every company is to become a tech company.
New Products and Services for the AI Generation
Following the keynote, Jeetu Patel (EVP and Chief Product Officer) talked about what Cisco stand for and the product strategy and vision saying that Cisco’s mantra is to build products people love; quality is priority zero; and think ‘10x’.”
Echoing the opening messages, he enforced that every business is working frantically to understand, play out and refine the opportunities and challenges of realising and adapting to how they work and serve customers in the era of AI.
Jeetu said that “every organisation needs to lay the groundwork for AI,”. He went on to say that the last two years have been “experimental” and that Cisco believe that over the next 2 to 5 years, the world’s workforce will be “supplemented” by AI agents and apps and eventually robots and even humanoids. Cisco said that whilst they believe this shift will create more jobs than it removes, the working world will change, and that change will happen rapidly. He said the IT and Digitial industry needs innovative technologies, new operating processes, and new outlook to business, one that we haven’t seen in this capacity since the dot com boom.
There was loads of technology and updates to existing products announced and a reminder from Cisco just how much of a Software company they now are…
Networking
The first new product announced was the Cisco UCS C845A M8 Rack Server – a modular rack with flexible GPU scaling designed to run AI workloads faster and more efficiently.
Cisco said that this will be the new Cisco blueprint for service providers as they look to capitalise on the opportunities of AI. These new Servers will helpo service providers and large enterprise organisions building their own AI services to meet the demand for high-bandwidth along with secure, and energy-efficient connectivity.
Cisco say that this architecture will result in simplified networks, AI-powered operations and resilient networks with end-to-end network security and observability. Cisco also said that this will better help service providers and telcos monetise easier, by allowing them to deploy services closer to their customers to provide intelligent service delivery.
Cisco also annouced two new N9300 Series Smart Switches, with Cisco’s Silicon One E100 chips, AMD Pensando DPUs, and Cisco Hypershield built in…. Cisco say that Hypershield will be embedded on the new switches, meaning that multi-layer protection can be scaled for zone segmentation, micro segmentation, and distributed exploit protection, along with with a centrally managed firewall distributed throughout the datacenter at the service level.
Cisco Hypershield will be embedded on the new switches, meaning that protection can be scaled for zone segmentation, micro segmentation, and distributed exploit protection – with a centrally managed firewall distributed throughout the datacenter at the service level, allowing service providers and enterprise customers to enforce security policies directly on the network fabric, enabling a “fully distributed security model”.
Cisco AI Defense
DJ Sampath, VP of Product, AI Software and Platform, showcased on stage on how Cisco’s newly announced AI Defense application allows businesses to validate and test new AI models in a matter of minutes which will represent a huge time saving reducing the typical weeks of testing down to hours.
Webex Contact Centre
Cisco Webex also got some new AI attention, with Caitlin Lacey (Director of Global Product Marketing, Collaboration Devices) showing off the newly updated Webex AI Agent that can be used to build autonomous AI chatbots to elevate the customer support experience. Cisco showed how these new AI models are not just limited to text either as they showcased voice based agents with ‘lifelike’ voices and super-low-latency responses which can be built to reduce the number of telephone agents needed and also reduce the time customers need to spend waiting on hold only to be transfered to another department and put back on hold. They even showed how customers can interrupt the agent mid flow. Impressive demo.
Cisco said that the new Cisco AI Assistant for Webex Contact Center is natively integrated with Webex Contact Center today and will be available for integration with third-party contact centers later this year. It includes context transfer summaries, dropped call summaries, Human Agent Wellbeing and automatic customer satisfaction scores (Auto CSAT). They are also introducing new features later this year including suggested responses, real-time transcription for agents, wrap-up summaries and mid-call summaries.
The agents will be available in English only at launch, however, Dutch, French, German, Italian, Polish, Portuguese, Spanish, and Swedish will come later in 2025.
Webex Meeting rooms
Recognising the volume of BYOD meeting room solutions (where customers are not tied to any meeting platform like Webex, Zoom or Teams), Cisco are continuing their investment by supporting “Flexible Conferencing” with their Cisco Room Bar BYOD. This are designed for small to medium rooms, allowing seamless laptop connectivity along with the quality of Cisco audio and video experiences for BYOD / plug n play spaces.
Thousand eyes
Cisco announced updates to Thousand Eyes with a new traffic insight functionality which will give IT support and network administrators greater observability along with the ability to pinpoint disruptions within connected networks, WAN and Internet more easily and visually. This helps identify and pin point potential network disruptions on their own and public/third party infrastructure more easily.
Meraki and Cisco XDR
Cisco Meraki suite is now getting integration with Cisco XDR to power “the SOC of the future.”. For any organisation looking to build their own or build and sell their own SOC, this integration of Meraki dashboard data into Cisco XDR will allow SecOps to see incidents and threats as they emerge across their network infrastructure adding to the visibility scope over what they had before.
Firewalling
Cisco announced their “Hybrid Mesh Firewall“. This is a brand new AI optimised firewall that combines Cisco Firewall Threat Defense, new AI Defense capabilities, and their Security Cloud Control into a single management system.
From what I have read so far (so correct me if I am wrong), each firewall in the mesh will have two versions – an active and shadow version. As such new updates to rules and threat protection for example will be first introduced on the ‘shadow’ device which will then become ‘active’. They will then swap roles, with monitoring taking place over a period of time at a highly granular level to ensure the update works as intended. This will reduce downtime and provide consistent operations. .
Skilling for the Future AI Generation
Cisco has also launched a new AI Skills Journey program to help partners and companies build this much needed AI Infrastructure skillset. This new training will be available at https://u.cisco.com
Cisco are are also updating their current certifications, including traditional certs like the Cisco Certified Network Associate (CCNA), Cisco Certified Network Professional (CCNP) and Internetwork Expert (CCIE). These updated certifications reflect the AI and cybersecurity skills needed to achieve impactful business outcomes. Select programs
As Integrated Systems Europe (ISE) came to a close last week, Microsoft shared stats ahead of new Teams from Microsoft. According to Frost and Sullivan, 46% of organisations are invested in office and meeting room modernisation projects, fueling huge growth in new spaces, meeting technology investment and refresh to creating inclusive tech-enabled spaces to improve employee experience. As space continues to shift from banks of desks and cubicles, collaborative and hybrid huddle and meeting rooms play a crucial role in this transformation, enabling better collaboration and productivity for hybrid work.
46% of ITDMs are kicking off office modernisation projects and creating tech-enabled spaces to improve employee experience. | Frost and Sullivan
Microsoft Teams Rooms continues to be at the forefront of this evolution, bringing intelligence and innovation to meeting spaces from a host of leading meeting room equipment manufacturers such as Cisco and Yealink.
On the back of this – Microsoft unveiled Teams Rooms Express Install. This is designed to make the setting up of Teams Rooms for smaller and “focus” meeting rooms much faster and simpler.
Express Install for Teams Rooms
The newly introduced Express Install for Microsoft Teams Rooms is an installation option the offers a streamlined, quick, and easier deployment and configuration process that delivers a full Teams Rooms experience in focus/huddle and small to medium sized meeting rooms. Key benefits include:
Quick Installation: In a smaller space (which make up most deployments) like a focus room or small meeting room for up to day 6-8 people, installation can now be completed by one person in as little as one hour, with minimal labor and “no need for specialists” according to Microsoft.
No Custom Room Modifications: The hardware for these rooms can now be installed without lengthy and complex room modifications, reducing costs and installation time.
Full Teams Rooms Experience: Users still get the same great meeting experience they are used to with any other Teams Room, with the same Teams Rooms application and certified hardware.
Lower Total Cost of Ownership: This rapid deployment approach and reduced complexity lowers the total cost of ownership of Teams Rooms even further is making it easier to for businesses to scale up meeting rooms and provide exemplary hybrid meeting experiences.
Benefits for IT
This Express Install option is designed to reduce the effort and complexity process for IT admins and Teams Room deployment teams. , A/V techs, and other professionals responsible for deploying meeting rooms. Benefits include:
Reduced Professional Service effort: Installation can be done faster without the need for multiple specialists or complex modifications.
Flexibility: certified devices certified for Teams are already in the device ecosystem, allowing for flexible deployment options.
Compact and Efficient: Hardware such as tabletop stands, wall mounts and new video bars with integrated mics and multiple camera are ideal for faster and efficient installation.
The evolving role of your Teams Room partner
As well as reducing cost for deployment thereby improving the ROI and upfront cost, also means you can leverage other key value add services from your partner or customer install teams.
Hardware Procurement: be sure to work with your partner to validate the hardware bundles and accessories that support this new express Install.
Support and Managed services: Microsoft partners support Teams Rooms post-deployment by offering ongoing proactive monitoring and management, user training, feature annoucements and remote or onsite support.
Adoption Services and Training: one of the often neglected services is that of training for employees to ensure they get the best from Teams and Teams Room features such as intelligent recap and Copilot as well as new features that are always rolling out.
Solution Showcases and Roadmap: Use your partners to showcase and demo these new solutions.
Yet more new features coming to Microsoft Teams Rooms
Users will soon benefit from further new enhancements and capabilities introduced for Teams Rooms, which improve the overall meeting experience. Key features include:
Multiple Camera View: Remote meeting participants will soon be able to switch between up to four different camera feeds, ensuring they have the best angle at any time.
Cloud IntelliFrame: This video framing capability enhances the visibility of people in the room for online meeting attendees. This is now available on Teams Rooms on both Android and Teams Mobile devices.
Miracast Support: coming soon, users (and guests) will now be able to wirelessly project and share content from their PCs to the Teams Rooms (including Surface Hub and Meeting boards) using the Miracast standard in addition to cable connect and Teams Cast (via Teams app), making it easier to collaborate and share information.
Microsoft Edge support is also coming “soon” to Surface Hub 3 and other Windows-based touch board form factors in Teams Rooms. This addition will allow users to seamlessly access websites and line-of-business web applications on touch boards anytime whether during a meeting or outside of one.
Start or Stop Recording: users will now be able to start or stop recording in room from the room console in Teams Rooms on Windows without needing a companion device. This feature unlocks powerful productivity tools like meeting transcripts, intelligent recap, and the ability to query a meeting with Copilot.
Conclusion
With the introduction of Express Install for Teams Rooms, new capabilities for touch boards running Windows, and continuous enhancements that improve remote experiences, Microsoft reaffirms its commitment to delivering top-tier technology solutions for modern workplaces.
These innovations make it easier and faster to scale up meeting rooms, enhance collaboration, and provide a better overall experience for businesses,and employees freeing up resources and spend to focus on user adoption training and support, improving user experience and reducing TCO.
Finally, it is here – Microsoft 365 Copilot now lets you save your prompts within Copilot for easy re-use later. Yes – this means you no longer need to save your prompts in separate documents or constantly copying and paste them.
When Copilot has completed its response(s), scroll back to your prompt in the chat.
Hover your mouse over the prompt – you’ll see bookmark and link icons appear.
5. Click on the bookmark icon to save the prompt to your library – you can also give it a friendly name to make it easier to find and reuse later.
Accessing Your Saved Prompts
Finding your saved prompts is just as easy.
Click on “View Prompts” above the chat box.
In the prompt library popup window, select “Your Prompts.” where you will be presented with a list of all the prompts you’ve saved.
Click on any saved prompt, and it will automatically paste the text into the chat window, ready for you to use again.
Why this feature matters
The ability to save and easily access prompts directly within Copilot enhances productivity and streamlines your workflow. It’s a small change with a significant impact, making it easier than ever to manage your prompts efficiently.
No more hassle, no more copying and pasting—just seamless, effortless prompt management.
OpenAI’s most advanced AI model “o1” which is known for its problem solving and deeper thinking has been available behind a $20 per month ChatGPT premium subscription. ChatGPT premium gives limited acess for $20 a month and unlimited access for $200 a month.
Copilot let’s you use it for free.
Microsoft has a tight partnership with OpenAI and is also on a mission to put their AI (Copilot) across every Microsoft Service it offers with huge capability and features even on theor “free” tiers.
Copilot Consumer Pro users have had access to Think Deeper (which uses the o1 model) for the past 12 months, but Microsoft have now made this feature free to everyone including those using the free version of Copilot.
To access it, you need to simply head ovee to Copilot on the web, (or via the mobile app) and ensure you are signed in with a Microsoft account (MSA). You then get completed free access to the Think Deeper search (which uses the o1 model).
How to get Microsoft Copilot
To get Copilot, head to the web (you actually find Copilot in the Edge browser) and go to https://copilot.microsoft.com or head over to you phones app store and search for Copilot and install it.
You need to be signed in with your Microsoft account to use these features.
Using o1 features aka Think Deeper
Once in Copilot, use the AI chat as you would before (or like you did in ChatGPT) and you will see a “think deeper” button inside the text input box.
Using Copilot’s Think Deeper (ChatGPT model o1)
Selecting it activates the o1 reasoning model. As it processed your prompt, you also get a spinning symbol since searches and responses using o1 are more thorough that with GPT 4 and typpically take around 30 secs.
Using Copilot’s Think Deeper.
This is Microsoft’s way of letting you know that you’re in for around a 20-30 seconds wait. If you don’t need deep search so for normal use), toggle this back off to go back to the super fast GPT-4o version…
So what can o1 do then?
The deep thinker feature of Microsoft Copilot is much better for more complex tasks and research due to the o1 model ability for in depth reasoning.
As such it is simply better for solving complex issues like math, logic or science, for analysing or creating long or richer documents and reports or for code creation and debug. The best way to test this is to run two Copilot Windows side by side and test out the same prompt with and without Think Deeper enabled.
Content created with o1 is also more “accurate” with far less AI hallucinations (aka, making things up).
Why do many GPTs Hallucinate? In general, GPT models learn by mimicking patterns in their training data (huge amounts of data). The o1 model uses a different technique called reinforcement learning, whereby it's language model works things out (though it's training) by rewarding the right answers and penalising wrong ones. This takes longer through the iterative and testing process. Once done the model moves through queries in a step-by-step fashion much like human problem solving.
o1 limitations?
It is worth noting that o1 isn’t quite on the same level as ChatGPT in some areas. It is less effective with factual knowledge and is currently less able to search the Internet and cannot process files and images.
What about DeepSeek?
The big story this week has of course been DeepSeek, a controversial Chinese AI firm that has announced and launched their own GPT-4 and o1 rivals that have been supposedly built at a fraction of the cost of OpenAI, Google and other US models, shaking share prices, disrupting the market and rasing many questions.
What is more is more is that DeepSeek models are claimed to be more advanced and faster than GPT-4o and smarter that o1.
The advent of DeepSeek has sent shockwaves through the tech industry. Global stock markets have reeled, sparking a cascade of investigations and looming threats of bans.
Yet, the bot hasn’t been without its champions. Interestly, Microsoft – OpenAI’s top financial invester and partner – has already embraced the DeepSeek R1 reasoning model, and has integrating it into Azure AI Foundry and also GitHub.
These platforms, beloved by developers for fostering advanced AI projects, now stand as the new playground for DeepSeek’s innovative potential.
DeepSeek logo
Open AI Strikes Back
In the wake of its free mobile app’s viral triumph, OpenAI’s CEO Sam Altman swiftly revealed plans to accelerate the rollout of new releases to keep ahead of its new Chinese competitor.
OpenAI are not standing still either though. Et the end of December 2024, month, they began trialing twin AI models, o3 and o3 mini. Remarkably, the former has surpassed o1 in coding, mathematics, and scientific capabilities, marking a significant advancement in their AI prowess.
There is no doubt this is an area that doesn’t stand still. By the time I click publish this post will likely already be out of date!
DeepSeek has certainly ignited an even greater sense of urgency within the already dynamic AI sector which moves and evolves on an almost daily basis.
You can now get Intel powered (as well as Snapdragon) powered Surface Pro 11 and Surface Laptop 7 for business.
Image (c) Microsoft
Microsoft has given their Surface Copilot+PC the “Intel” treatment today with a new varient of their Copilot+ Surface Pro 11 and Surface Laptop 7. These follow the new sleeker design of the Snapdragon versions released last year.
Powered by Intel Lunar Lake processors, these are designed for business users who still need or want the latest Surface technology but prefer the power and versatility of an x86 processor over the Snapdragon ARM devices. Despite the huge amount of support that Windows on Arm (WoA) now has, there are still many legacy applications that aren’t compatible with Arm or don’t run well with x86/x64 emulation.
Adding new options to the current line up, these new Intel-driven Surface devices will coexist with the Snapdragon-powered cousins, will be exclusively available through Microsoft’s business online store and via Surface for Business commercial channels only.
Intel Inside!
Both the new Surface Pro 11 and Surface Laptop 7 offer configurations with the Intel Core Ultra 5 or Ultra 7 series 2 processors. The Intel powered Surface Laptop 7 is available in 13.8in or 15in display options.
These can be then be configured with 16GB or 32GB of RAM and storage options of 256GB, 512GB, or 1TB.
Being a Copilot + PC these also have dedicated NPUs, delivering 40 TOPS on the Ultra 5 varient and 48 TOPS on the Ultra 7 models.
Battery and Performance Boosts
The Intel powered Surface Laptop 7 for Business has over 20 hours battery life. Surface Pro 11 boasts over 14 hours!
Microsoft say these new devices deliver up to 26% faster performance when multi-tasking, up to 2x faster graphics performance, and 3x the battery life when on Teams calls.
The same, yet different!
While the Intel version of the Surface Pro 11 and Laptop 7 share many similarities with the Snapdragon cousins, the Intel versions come with a few subtle yet significant enhancements.
Both devices feature a much sought after anti-reflective screens to cut down on glare and reflection which should help improve remote and outside working. Surface Laptop 7 also. Comes with a card-reader variant (option), and the Surface Pro 11 gets a built-in NFC reader.
WiFi gets an upgrade too with support for the latest Wi-Fi 7 connectivity, added ports and even customisae haptic typing alongside a slighly larger touchpad.
Last, but not least, Surface Laptop 7 will also be available in a 5G variant (coming later this year), a feature previously only available on the Surface Pro.
Unlike the Snapdragon versions, the Intel models come in either classic Platinum or Black only.
Anew Surface Dock too
Microsoft also introduced the “Surface USB4 Dock,” a more compact and budget-friendly version of the Surface Thunderbolt 4 Dock. Released last year.
Surface USB4 Dock
The USB4 Dock can output to two 4K displays, using both the HDMI and USB-C ports on the back.
This is priced at around £100 cheaper too, though does ship with a few less ports. This makes it an attractive option for organisations that need docking solutions and are keen to keep the brand consistent with the device. Here you get two USB-C ports and one USB-A port, along with a HDMI port and Ethernet jack.
There is no Surface Connector Port on this model.
Pricing
Pricing for the Intel varients of the Surface Pro 11 and Laptop 7 are more expensive that the Snapdragon counterparts.
The Snapdragon devices start from $1,099, whereas the Intel models kick off at $1,499.
Availability
Both the Intel-powered Surface Pro 11 and Surface Laptop 7 are available for pre-order now.
Surface USB4 Dock is also available for pre order.
Copilot and Microsoft 365 continues to evolve and add features. The latest feature introduces a seamless method to transform email threads into productive meeting agendas with a single click.
This new feature is designed to streamline the process, ensuring that your meetings are well-organized and productive.
Making Email Conversations more effective
With Microsoft 365 Copilot’s new functionality, Microsoft are making scheduling of meetings from an email (that needs a meeting) super easy.
Copilot can now reason over all related emails within the thread and creates a thorough meeting agenda with a summary of the conversation within the email chain. This captures the main topics and any early decisions, making sure everyone is up to speed and ready to jump in.
Here’s how to use it:
Open an email thread on a topic for which you would like to schedule a meeting from.
Click “Schedule with Copilot” button found in the top menu bar of the email.
Click the “Insert” button to populate the agenda in your invite. You can then edit and tweak the agenda as needed to ensure it suits your needs.
Once done, you’ve used Copilot to create a Meeting and agenda based on the threads and topics in the email chain without having to plough though it yourself. This can help you ensure relevant topics and themes are brought into the agenda.
Why would you want Copilot to do this for you?
We all had email chains that need to be a meeting at somepoint. Copilot takes most of the effort out of this and ensures that you get a meeting agenda that covers the key themes from a email chain. Copilot also attaches a copy of the original email to the meeting invite and helps ensure that the right people are invites. So all you need to do is choose the time for the meeting. This can be a real timesaver for everyone.
Conclusion
By transforming email threads into organised meeting agendas, Microsofft 365 Copilot in (new) Outlook can help ensures that everyone stays informed and meetings run smoothly.
I personally love this new feature which really helps to ensure all themes and concerns are raised as an agenda in the meeting.
Why not give it ago in your next meeting scheduling task.
This week, in a significant development amidst the backdrop of intensifying AI competitiveness, OpenAI has unveiled ChatGPT Gov
This customised version of the AI-powered chatbot platform is tailored specifically for U.S government agencies, providing them with an advanced tool to access and utilise Open AI technology.
Microsoft announced back in 2023 that its Azure OpenAI Service was available for Azure Government customers. The new service will allow government agencies to use generative AI capabilities in a way that meets security and privacy requirements. OpenAI can now also be deployed in Microsoft Gov Data Centres.
What is ChatGPT Gov?
So ChatGPT Gov mirrors many capabilities of OpenAI’s enterprise-focused tier, ChatGPT Enterprise. By leveraging this platform, Open AI say that government agencies can deploy specific OpenAI models on both Microsoft Azure commercial and government clouds as well as using Microsoft’s own Azure AI models for example. This integration brings enhanced management of security, privacy, and compliance concerns, which is crucial for handling non-public sensitive and classified data.
ChatGPT Gov also aims to streamline internal authorisation processes, making it easier for agencies to implement OpenAI’s tools effectively as easily with the relevant guard rails in place.
What about Azure Open AI for Gov
Microsoft Open AI, enables federal, state, and local government agencies to use GPT-3, GPT-4 and 4o along with embeddings via the Azure OpenAI Service REST APIs. This capability helps to improve natural language-to-code translation, semantic search, content generation, and summarisation and for Gov to build and use Microsoft Open AI services across Gov cloud.
Gen AI in Government
Since its introduction, ChatGPT has already seen extensive adoption across the U.S. government as well as here in the UK. I’m. Personally working with a dozen or so local governments and councils here in the UK on AI adoption.
Open AI says that more than 90,000 users from more than 3,500 federal, state, and local agencies have collectively sent over 18 million messages to support their daily operations. This widespread usage demonstrates Open AI and Microsoft’s potential to transform government workflows and decision-making processes.
What about Copilot
While ChatGPT Gov offers a robust AI solution for government agencies, it’s worth exploring how Microsoft 365 Copilot also serves these needs. Microsoft
For many organisations using or exploring Gen AI tools like ChatGPT, many are using a combination of tools and services from different vendors. Open AI and Microsoft are tightly partnered.
Microsoft 365 Copilot is built on Open AI (which in turns runs in Microsoft Azure) and integrates seamlessly with existing Microsoft 365 tools, providing personalised assistance across a range of applications such as Word, Excel, and Outlook and also supports the building (both professional and low code) of autonomous AI agents, and scheduled prompts (coming soon).
This integration ensures that users can enhance productivity and streamline tasks within the familiar Microsoft ecosystem. So how does Microsoft 365 Copilot differ to ChatGPT?
ChatGPT
Targeted for AI-powered chat and conversation but also supports connectors and extebsibikity to other services via extensions and APIs.
Recently launched the ChatGPT Gov version for U.S. government agencies and are expected to do similar in other global regions.
Deployable on Microsoft Azure commercial and government clouds
Doesn’t provide native integration into line of business office apps and services like Office 365, Power Platform and Fabric.
Microsoft 365 Copilot
Customised version of ChatGPT that runs in Microsoft 365 Tennant boundaries.
Provides chat based conversations and access to company agents and connectors on PAYG basis or via Microsoft 365 Copilot subscription.
Embedded within Microsoft 365 applications like Word, Excel, Teams, and Outlook as well as Dynamics 365 and Power Platform.
Designed to enhances productivity and efficiency within the existing Microsoft ecosystem and seen as add on to Microsoft 365 on a per user per month billing method.
Can provides contextual assistance and automation for daily tasks and workflows through agents and autonomous agents (public preview).
In conclusion, while both ChatGPT and Microsoft 365 Copilot are powerful AI tools, they cater to slightly different use cases
US Government agencies may find ChatGPT Gov particularly beneficial for secure, AI-driven interactions (in place of the general version of ChatGPT) , whereas Microsoft 365 Copilot excels in enhancing productivity and providing natively and seemlessly integration into their wider app services and data. Gov agencies using Microsoft 365 Copilot and Azure AI or Open AI deployed in Azure also benefit from enhanced controls and security protection.
It’s great to see Open AI providing dedicated models and instances for central and federal governments.
Microsoft announced last week (15th Jan) that Microsoft 365 Copilot Chat is coming to every Microsoft 365 Commercial Customer regardless of whether or not they have paid Microsoft 365 Copilot licenses and what’s more we now get access to use agents with company data grounding support. Along with it comes a new pay-as-you-go tier that allows employees to access everything from chatbots to agents without the need for a Microsoft 365 Copilot license.
While Microsoft is still confident that the full Microsoft 365 Copilot remains “our best in class personal AI assistant for work“, the new pay-as-you-go tier means organisations can start using the technology at a much lower entry point and look to address key business cases rather than going full in on Microsoft 365 Copilot. .
“Copilot Chat enables your entire workforce — from customer service representatives to marketing leads to frontline technicians — to start using Copilot and agents today”. Jared Spataro | Chief Marketing Officer | AI at Work | Microsoft.
What is Microsoft 365 Copilot Chat?
Microsoft 365 Copilot Chat is Microsoft’s AI-powered chat feature designed to empower every person in every organisation to leverage Generative AI to make their “work lives easier and more efficient”.
For the employee, Microsoft Copilot Chat is a “personal assistant” they can chat with to get get answers, understand things better and get things done faster. Copilot Chat is It’s part of the broader Microsoft 365 Copilot suite but focuses specifically on enhancing communication and collaboration through chat.
How is Copilot Chat Different from Microsoft 365 Copilot?
The main differences between Microsoft 365 Copilot Chat and Microsoft 365 Copilot is three-fold.
Chat within Microsoft 365 Copilot provides work-grounded chat which means that Copilot can reason over data within your Microsoft 365 organisation such as files, SharePoint sites, your OneDrive, people (within Entra ID), your meetings, chat and email etc. Microsoft 365 Copilot Chat cannot access this data unless you “paste” into a chat window.
Copilot within the Office 365 Apps such as Outlook, Teams, Excel, Word etc is only available with Microsoft 365 Copilot.
Microsoft 365 Copilot is a paid add-on, where as Microsoft 365 Copilot Chat is included for free within your core Microsoft 365 licensing.
Microsoft Copilot Chat – Beyond Web Grounded Chat!
I’m personally not a fan of the name Microsoft 365 Copilot Chat because I do think it confuses people. The point I want to bring out here and why this was worthy of a post, is that previously, Copilot Chat (as it was called) only had access to data on the web and did note have the ability to leverage any of the new AI features such as Agents.
This has now changed. As the table above shows, with Microsoft 365 Copilot Chat, organisation will be able to create agents that do have access to data stored or connected to your Microsoft 365 tenant and also (and this is big) the ability for organisations to build and use autonomous agents (agents that can operate independently of a user).
The use of these new AI capabilities are paid for using a PAYG model. This means non Microsoft 365 Copilot users will have access to AI agents (for example in SharePoint) even if they themselves do not have a Microsoft 365 Copilot license.
What does Microsoft 365 Copilot Chat Provide?
Key Features of Microsoft 365 Copilot
Copilot Chat
Free, secure AI chat powered by GPT-4 and GPT-4o.
Ability to use Copilot Agents for automating tasks directly in the chat.
Support for file uploads in chat for summarising documents, analysing data, and suggesting improvements.
Support for Copilot Pages
Collaborate in real-time with AI and team members.
Integrate content from Copilot, files, and the web.
Create AI-generated images for campaigns and social media.
Agents
Ability to create and use agents using natural language to automate repetitive tasks.
PAYG / metered pricing for agents with IT control over deployment and management rather than requiring all users to have a Microsoft 365 Copilot license.
Copilot Control System
Enterprise data protection (EDP) for privacy and security.
Enables IT to better govern access, usage, and lifecycle of Copilot and agents.
Allows for measurement and reporting capabilities just like other Copilot Services.
Use Case Examples
A couple of use case scenarios are;
A customer service rep can ask a customer relationship management (CRM) agent for account details before a customer meeting.
A service or field service agent can access step-by-step instructions or real-time product information from information stored in SharePoint or Dynamics 365.
A sales person can get help with positioning a product based on information on solution propositions or marketing collateral.
How much does it cost?
Understanding the charges is not super straight forward to map. For comparison though, a Microsoft 365 Copilot license costs around $30 per user per month, so use this as a basis for comparison.
In another blog post, Richard Riley, General Manager of Power Platform at Microsoft said that “usage of agents is measured in ‘messages’ and the total cost is based on the sum of messages used by your organization.“
So what does that mean? Well, Microsoft now offers two ways for organisations to access the pay-as-you-go version of Microsoft 365 Copilot Chat:
Track each “message” sent to the AI whereby each message costs $0.01, billed monthly.
Pre-buying a pack of messages. This works a bit like a mobile data plan. As an example, you can buy 25,000 messages for $200 a month
The actual cost vary based on the type of response you need with responses that need generative AI costing more than responses that don’t.
Web-based answer: Free / no-cost
Classic answer: 1 message
Generative answer: 2 messages
Answers pulling data from company’s own systems (e.g., SharePoint): 30 messages
This paid capability is of course optional and organisations can decide whether to turn it ‘on’ or ‘off’ in Copilot Studio.”
Riley introduced the concept of “autonomous actions,” describing them as “generatively orchestrated triggers, topics, data connectors, and workflows, visible in the activity map displayed in generative orchestration mode“.
These are also available as pay-as-you-go, with a cost of 25 messages each time they act.
Here’s some costed use examples…
An agent answering customer questions online could use 500 classic answers and 2,000 generative ones, costing $45 for those 4,500 messages.
Another agent answering HR questions internally using Microsoft Graph data might use 200 generative and 200 tenant Graph messages, costing 6,400 messages or $64 for the day.
This approach allows businesses to fine-tune their AI usage to meet their specific needs, addressing concerns about the high costs of deploying these tools across enterprises. It also helps cost modeling certain scenarios much easier and provides an alternative to just giving every person a $30 per month Copilot License.
Using Microsoft 365 Copilot Chat
Assuming IT have enabled this in your environment, you can try this by navigating to https://m365copilot.com or by downloading the Microsoft 365 Copilot App from your preferred app store.
The integration of artificial intelligence (AI) into enterprise environments has introduced new security concerns. As adoption of AI continues at “cautious” pace, organisations must ensure the safety of the hundreds of AI apps that employees use (or try to use) sanctioned or unsanctioned as well as any AI applications built or customised by the organisation. This affects both data governance, exposure, and leakage as well as compliance.
I have aimed to not only compare their key features, similarities, and differences, but also to look at how both offerings can indeed help organisations based on specific business scenarios and needs.
Cisco AI Defense
Overview
Due to be released in March 2025, Cisco’s new AI Defense works slightly differently to Microsoft’s offering and is focused on securing AI applications throughout their entire lifecycle. AI Defense integrates with Cisco’s extensive network infrastructure portfolio providing specialised AI security measures.
Business and technology leaders can't afford to sacrifice safety for speed when embracing AI. In a dynamic landscape where competition is fierce, speed decides the winners. Fused into the fabric of the network, Cisco AI Defense combines the unique ability to detect and protect against threats when developing and accessing AI applications without tradeoffs". Jeetu Patel | Exec VP | Cisco.
Whilst not released yet, it will I have based this product release information I have read.
Cisco AI Defense focused on two primary areas of protection.
Accessing AI Applications: Recognising that whilst third-party AI applications can significantly boost productivity but may pose risks such as data leakage or malicious downloads. Cisco AI Defense is designed to give IT and SecOps full visibility into app usage and can enforce policies to ensure safe, secure access.
Building and Running AI Applications: Cisco acknowledge that developers require the freedom to innovate without worrying about vulnerabilities or safety issues in their AI models. AI Defense discovers your AI footprint, validates models to identify vulnerabilities, and applies guardrails to enforce security measures in real-time across both public and private clouds
Key Features
End-to-End Protection: Protects both the development and use of AI applications, ensuring safety and security throughout the AI lifecycle.
Network-Level Visibility: Leverages Cisco’s unmatched network visibility and control to detect and protect against threats.
AI Model and Application Validation: Identifies potential safety and security risks with automated vulnerability assessments.
Real-Time Protection: Offers robust real-time protection against adversarial attacks, including prompt injections, denial of service, and data leakage.
AI Cloud Visibility: Automatically inventories AI models and connected data sources across distributed environments.
Microsoft Defender for Cloud and AI
Overview
Microsoft Defender for Cloud and AI is designed to offer comprehensive security for AI applications and cloud services. Being a Microsoft product, it integrates seamlessly with Microsoft 365 and their wider cloud ecosystem, providing robust threat protection and security posture management. It also supports multi-cloud environments making it suitable for enterprise organisations.
Microsoft Defender for Cloud and AI’s primary protection areas are based upon:
Threat Protection and Security Posture Management: Microsoft Defender for Cloud and AI provides real-time threat protection for AI workloads and visibility into AI components, identifying vulnerabilities and offering built-in recommendations to strengthen security.
Integration and Continuous Monitoring: It integrates with Defender XDR for centralised alerts and continuous monitoring, ensuring security measures are enforced across hybrid and multicloud environments.
Key Features
AI Threat Protection: Provides real-time threat detection for generative AI applications, including data leakage, data poisoning, jailbreak, and credential theft.Real-time identification and mitigation of threats to generative AI applications.
AI Security Posture Management: Continuous monitoring and management of the security posture of AI applications, with automated vulnerability discovery and remediation recommendations.
Cloud App Security: Protection for SaaS applications, offering visibility into cloud app usage and protection against threats.
Prompt Evidence: Includes suspicious segments from user prompts and model responses in security alerts.
Extended Detection and Response (XDR): Integration with Defender XDR to centralise AI /workload alerts and correlate incidents for efficient incident management.
Integration with Microsoft Ecosystem: Seamlessly integrates with Azure, Microsoft 365, and other Microsoft security solutions and workloads.
Comparative Analysis
In short, both Microsoft and Cisco are providing products which complement their wider security portfolios to help customers better protect their organisations in the rapidly evolving world and adoption of AI technologies.
Similarities
AI Security: Both solutions focus on helping organisations secure AI applications and provide end-to-end visibility into their AI workloads.
Real-Time Threat Detection: Each offers real-time threat detection and protection, ensuring prompt identification and mitigation of security threats.
Integration with respective Ecosystems: Both solutions integrate with their respective broader security ecosystems (Cisco for Cisco products, Microsoft for Microsoft products).
Differences
Whilst both focus on security across the customers domain with a focus on understanding and protecting against (and keeping control of) AI based applications, there are clear, there are some subtle and unique differences.
Scopes of Use
Cisco AI Defense Specialises more in securing AI applications throughout their lifecycle including home grown developed services, where as Microsoft Defender for Cloud and AI is more focused on providing comprehensive security for both AI applications and SaaS applications.
Platform Integration
Cisco AI Defense provides deep integration with Cisco’s network infrastructure and other Cisco security products. Microsoft Defender for Cloud and AI has seamless integration with the wider Microsoft’s ecosystem, including Azure, Microsoft 365, Dynamics, Power Apps as well as being part of the wider Microsoft security solutions.
Capabilities
Cisco AI Defense places a key emphasis on AI-specific security measures that include automated vulnerability assessments and real-time protection against adversarial attacks.
Whilst similar in approach, Microsoft Defender for Cloud and AI offers broader security features, including threat protection for both AI and cloud services, and integrates with Microsoft’s XDR for centralised incident management.
When to choose which?
When to choose Cisco AI Defense
Best For: Organisations with a significant focus on AI development and deployment, particularly those heavily invested in Cisco’s network infrastructure.
Primary Benefits: AI model validation, runtime protection, and extensive integration with Cisco’s network and security products.
When to Choose Microsoft Defender for Cloud and AI
Best For: Organisations utilising a mix of AI and SaaS applications, especially those heavily invested in the Microsoft ecosystem (Azure, Microsoft 365, etc.).
Primary Benefits: Comprehensive threat protection, tight integration with Microsoft 365, Azure, Dynamics 365 and existing Microsoft security solutions.
Case Scenario: Ficticous Enterprise Organisation
Customer Profile: “A large enterprise organisation with a complex infrastructure, several hundred applications (mainly SaaS) as well as in-house and hosted custom applications running in Public Cloud (Azure), mix of productivity tools (Microsoft 365), AI-powered assistants (Microsoft Copilot and Chat GPT), multi-campus network environment (Cisco Meraki), Cloud Voice (Microsoft Teams), Space Management Tools (Cisco Spaces) and network performance monitoring (Cisco ThousandEyes).
Organisation has and uses Microsoft 365 E5. They have a contact centre based on Cisco Webex and use Microsoft Teams Meeting Rooms with Cisco endpoints. User devices as mix of Lenovo and Surface. They also use Cisco Duo. They have a Cisco EA.
They are in the middle of a Microsoft 365 Copilot pilot with around 20% of their organisation but aware that some other departments may have other shadow AI tools. They are also looking at building their own apps that will use a magnitude of AI agents and connectors.”
Cisco AI Defense vs Microsoft Defender for Cloud and AI
Given the complex infrastructure and diverse applications of this large enterprise organisation, the differences, strengths and similarities of each really stand out. Appreciating this a “made up” organisation, you can see where and why each product has its strength and merits.
Microsoft Defender for Cloud and AI
Given the extensive use of Microsoft services and the presence of Microsoft 365 E5, Microsoft Defender for Cloud and AI is highly recommended. It offers comprehensive security coverage for both AI applications and SaaS applications, integrating seamlessly with the existing Microsoft ecosystem. The core services are also included within the Microsoft 365 E5 subscription.
Key Benefits:
Broad Threat Protection: Covers both AI applications and cloud services, ensuring robust security across the organization.
Integration with Microsoft Ecosystem: Seamless integration with Azure, Microsoft 365, and the organisations other Microsoft applications and security solutions.
Centralised Management: Facilitates centralised management and monitoring, improving operational efficiency.
Cisco AI Defense
Considering the organisation’s significant investment in Cisco networking solutions and the presence of Cisco Meraki, Cisco Spaces, and Cisco ThousandEyes, Cisco AI Defense is also recommended. It provides specialised AI security measures and integrates well with Cisco’s network infrastructure.
Key Benefits:
AI-Specific Security: Focuses on securing AI applications throughout their lifecycle, providing tailored protection.
Deep Integration with Cisco Infrastructure: Enhances overall network security by integrating with Cisco’s network and security products.
Real-Time Protection: Offers robust real-time protection against adversarial attacks, ensuring continuous integrity of AI operations.
Combined Approach
Given the organisation’s diverse IT infrastructure and the need for comprehensive security, a combined approach using both Microsoft Defender for Cloud and AI and Cisco AI Defense is advisable. This dual solution ensures that all aspects of the IT infrastructure are covered, from AI applications to cloud services and networking.
By leveraging both solutions, the organization can achieve a robust, integrated security framework that covers all their IT needs, ensuring comprehensive protection and efficient management.
Budget and Management Considerations
Budget: While using both solutions might seem costly, the investment is likely justified by the enhanced security and centralised management capabilities.
Management: Both solutions offer centralised management, making it easier to oversee and control security measures. The tools are managed across the respective product suites which are already in use within the organisation minimising additonal admin / sec ops over head.
Conclusion
Cisco AI Defense and Microsoft Defender for Cloud and AI are both robust solutions tailored to different security needs and infrastructures. Understanding their strengths and integration capabilities allows organisations to make informed decisions, achieving comprehensive and integrated security frameworks.
Cisco AI Defense is new and will be available in March 2025, so please do let me know if I’ve missed anything obvious…
In a move that perhaps comes as no surprise, Microsoft has revealed a small $3 price increase per use (the first in 12 years) but is including Microsoft 365 Copilot (previously a $20 add on) to these subscriptions, which enables users to leverage Copilot in Office apps without needing a separate Copilot Pro subscription. But there is catch… See later.
I’ve not seen UK pricing as yet, but starting soon, consumers will soon see a new price of $9.99 per month for Microsoft 365 Personal and $12.99 per month for Microsoft 365 Home.
It’s not actually about Copilot through…
Oddly, Microsoft says the price increase is not actually about Copilot inclusion buy it more about aligning the prices with new features that have been added over the years such Microsoft Designer and Clipchamp, both of which have extensive AI capabilities.
Or is it…
Microsoft are offering anyone who’d rather stick to the old plan the option to buy what they new call their “classic sub tier which won’t include Copilot, but just a limited time. This, I believe will be offered as a downgrade option but will only be available for a limited time.
So… If the classic tier doesn’t include Copilot… Is the price hike about Copilot or not.. What do you think?
So what is included for Copilot in Personal and Home subscriptions?
With the introduction of Copilot, Microsoft 365 apps are getting a significant upgrade. Here’s a breakdown of the new features you will get
Word
Here we get Draft and Chat capability in Word. In draft mode you can create/ generate text from within the Copilot pane directly in Word. This works for new and existing documents and also allows your to rewrite taxt, expand on it, condense it and more. Chat mode on the other hand acts as your Word AI assistant. It can summarise and explain text, paragraphs or whole documents, suggest changes and also. Help you discover Word features such as formatting or just help you to learn new features.
PowerPoint
Here we get similar capabilities to Word. Copilot can create, restructure, change and enhance PowerPoint presentations from scratch based on user-provided criteria. It can also analyse existing Word documents (and other uploaded files) and generate a complete presentation from the information contained within it.
Excel
With most people using just a tiny fraction of what Excel can do, Copilot in Excel will help anyone analyse tables, highlight data correlations, suggest and help with new formulas based on your natural written queries, and can also generate insights to help you better reason over tables data and even entire workbooks. It is also really great for helping you format and organise data, create visualisations, and even teach you (or write) formulas for you.
OneNote
One of my favourite apps, Copilot here can assist in drafting ideas, plans, and organising information within your Notebooks. Copilot can also format content and create lists according to your criteria. What’s great is it can also do the woith your hand written notes (for those like me that use OneNote on my tablet). I find it great for handwritten meeting notes or interviews in that Copilot can then write my notes up professionally for me!
Outlook
Load of useful abilities for Copilot here in Outlook and one I think most people will use alot. Copilot in Outlook can summarise emails from friends, family, and colleagues which is nice for long email chains you have just been forwarded!
It’s also great for helping you to draftnand write an ew email or response to an email based on specific tones, lengths, and formats you set.It can also help coach you by reviewing what you have written and suggesting changes.
Copilot can pull information from other emails to provide context in threads, making it useful for managing multiple email chains.
What about Copilot Pro?
Despite the price increase, Microsoft is limiting Copilot usage under the Home and Personal subscriptions through monthly AI credits which are automatically applied to your account and reset each month (think mobile data tarrifs). They have not yet shared (that I have seen anyway) how many AI credits will be given each month.
Microsoft also offers Copilot Pro which is currently $20 /£19 a month which brings the same features as above but gives unlimited access to Copilot in Office, plus what they call boosts for image creation in tools like Designer.
I’m hoping this also gets a price reduction as it suddenly seems quite pricey for the additional capacity rather than entire features.
Conclusion.. Yes please!
To me I can’t wait to see this come to Family accounts because for me today, if I want Copilot Pro in Office for all 4 members of my family, I need to pay $80 a Month! This makes is so much more affordable and a no brainier.. bringing AI tools to its 84 millions consumer users and at a much more digestable price that with Copilot Pro.
As we all get back into the flow of work following the Christmas and New Year break, Microsoft continue to announce new features for Microsoft 365 Copilot.
Microsoft 365 Copilot has been available to “everyone” to buy and use now for a year now and it’ actually hard to conceive that it only actually ben 12 months! That said, I know hundreds of organisations that are using it every day and getting a great experience from it. I also know others (and people in my own organisation that have a bit more of a “hmmmmm and it’s ok” mindset to Copilot.
As I head back into my first full week at work with Copilot at my side, it’s worth looking at just how far it has come. From taking notes and summarising content, helping me catch up things I have missed (or forgotten) and evening being my companion to help me thrash out ideas, explain things, get a different opinion – Copilot is by my side.
Copilot is like that tireless colleague who’s always ready to lend a hand, doesn’t get tired, doesn’t take a lunch a break and doesn’t need to pop out for a coffee when I need it! I often describe Copilot as a drunk intern, in that it adds huge amounts of value to my day, but it doesn’t solve every work problem, nor can it assist with every task. It can’t make decisions for me, do my executive reports, remember to do things for me (there’s other tools for that) and can’t actually do my job for me. Microsoft 365 Copilot is a tool, a powerful tool, but like any tool, its effectiveness hinges on how you use it and more importantly how you don’t!
Having helped many customers and seen the results it can have, as well as my own experience of integrating Copilot into my daily work (and personal online life) routine, it takes time. It not as simple as allocating a licensing and clicking the Copilot button. Good adoption and useful results require practice (lots), sharing what works, and an understanding of its capabilities and limitations. In this blog. I share a few little tips we have learned on the way, coupled with some tips to see value every day.
1. Results may not be instant – Practice makes perfect
You may hear people say “it is rubbish” or “it didn’t do what I thought”, or “Copilot can’t help me in my job”.
This is sometimes true, but nearly all of the time, it is simply not! Copilot can certainly help you brainstorm ideas, answer questions, explain content and even get a third person review on something you have created, but it it is not going to transform you into a master mathematician, coder, web designer or salesman overnight.
Like learning a new musical instrument (my son is learning the trumpet at the moment) or a language, it takes time (and patience) to get the hand of pretty much any tool.
Success comes (and I see it every day) by embrace the learning curve, trying new things and giving yourself room to grow alongside this technology which is constantly evolving and improving. Working with Generative AI is a totally different way of working with technology so give yourself time to work with it. There is no AI Natives (yet!).
2. Don’t get fired – Copilot for everyone but not for everything!
Think of Copilot as your co-pilot, not as the captain of your work. Copilot is there to assist you in what you do but not to take over. While it might draft a great email or executive summary, help you expand on a point or explain something, only you (as the Pilot) can ensure it aligns with your objectives and ask and that what it produces resonates with your audience.
Remember you are accountable for what Copilot produces for you – Copilot is the co-pilot. You are always in command. Copilot will remind of this, but do. Check the content, is it what you needed and asked for. Does it seem correct, read well and has it used the right content and context. If Copilot get’s it wrong, its your block on the line not Copilot’s.
Your expertise and personal touch are irreplaceable, and you are still responsible for what it produces. Don’t look silly buy not checking what it produces!
3. Remember you are human – It is not!
The Human Touch is everything. For example, when using Copilot to write or reply to a sensitive email, or when writing a personal response to something, Copilot can absolutely provide you with a solid starting point or provide guidance on how to write it.
We have all read those emails comms that are so obviously written by AI. It’s easy to spot an email from someone you know that has clearly left AI to write for them!
Empathy, nuance, and authenticity and the way in which you communicate is what makes you. It’s important to use what Copilot (or an AI) creates as a draft or a guide and ensure you inject your personality and insights to make your communication truly impactful and truly you.
4. Copilot is not a mind reader – be clear in your asks
Copilot doesn’t inherently understand the nuances of your specific situation, so back to my drunk intern analogy, you need to give it context around what you want your assistant to do.
Copilot can “summarise a report” but won’t know how you would like this summarised, the tone you woudl like, who you are summarising it for and how long you want it unless you tell it. Be explicit about the how you want the output (the goal), the context of what you need, and your expectations for how you want the output to be presented.
Remember the formula for Copilot promoting is G.C.S.E – Goal, Context, Expectations and Source.
5. Don’t leave sensitivity to chance
Microsoft 365 Copilot will adhere to your company identity and access management, respect DLP policies and even understand sensitivity labels if they are used.
Many organisations however do not use these (though are starting too), but regardless, make sure you check that you are not feeding Copilot confidential customer information when creating responses for other customers or sharing internal information that is not supposed to be shared.
People get scared that Copilot may share sensitive information. Since Copilot is the assistant and not the author, you are responsible for checking that the data you have fed it (or referenced) can be used and shared externally.
There are new tools coming to help users better protect privacy and for IT / Sec to control what Copilot accesses, but it’s still “on you”. Remember Copilot can’t get the sack – you can!
6. Copilot will not replace learning but it can help you learn.
Some like to portray that they are an expert over night with AI tools like Copilot. Sure Copilot is great at simplify complex concepts or helping you know how to do something in say Excel or Word. Copilot is also really great at helping you understand seomthing, can explain something complex “as if i am a 10 year old” and so on, but it’s not a substitute for your own learning journey.
That said, I find Copilot is great for helping you to learn something. It can help you “learn” the basics about a topic, put things into different perspectives, and even help map learning paths and helps you find resources. At the end of the day, it is still you that will learn what you are learning, but Copilot is really great at helping you learn in your way…
7. Copilot has an appauling memory
One fo the things Copilot is really bad at (by design currently) uis remembering things. This mean that not only will it not ask you how that report went, or if your customer replied to the email it helped you write.
In fact Copilot cannot (currently) evcen remeber past convrsations or preferences so once you “start a new conversation”, all history of that task you were working are forgotten.
As a tip – I tend to have a couple of chats running in parallel so I can switch between contexts as I need to. ChatGPT now has this capability to imagine* it is only time before this comes to Microsoft 365 Copilot
8. The Roadmap is every changing
The last time I looked, there was 112 new features in development and 18 that are currently “rolling out”. This AI technology is evolving rapidly and Copilot is no exception.
New features and improvements roll out regularly. It’s worth checking on the Microsoft 365 Roadmap from time to time to ensure you stay informed about what is coming. There are also a plethor of blogs like this one, user communities, webinars and formal training to help you stay abreast of the latest innovations and tips.
Knowledge is power – the more you know, the more you can leverage Copilot to your advantage.
9. Integrate Copilot into your daily routine
Consistency is key. Copilot really adds avlue when you use it little and often and when it’s seamlessly woven into your daily workflow. Here are some reaaly simple habits to form:
Start your week with a recap: Use Copilot to remind you of any emails you did not repond to last week from your peers or boss, to prepare you for your upcoming meetings, or to sugegst a date your team (rememeber it knows who works for you) are available for an afternoon off-site.
Start Your Day with Copilot: Use Copilot in the morning to outline your your day, important tasks or get you up-to-date on something. You will soon be able to schedule Copilot to do certain tasks for you.
Catch on and control your meetings: One of Copilot’s hero capabilities is to help ypou catch up on a meeting you missed, take notes for you in a meeting and even help keep the meeting flowing.
Remeber your GCSEs: Before engaging with Copilot, know what the Goal is you are trying to achieve. Give Copilot context on how you wnat it done and ensure it knows what you expect. Clear questions yield better answers.
Share and Collaborate: Encourage your team to adopt Copilot and share tips. Collective learning amplifies benefits.
The true power of Copilot lies in how you incorporate it into your daily routine:
10. Don’t Give up
You may not always get the instant results, don’t give up. Ttry again, ask others what works for them and check out help and guidance. There’s loads.
Stay Curious and ensure you experiment with different prompts and functions. You might discover new ways Copilot can assist you.
Reflect Regularly by taking time to assess how Copilot is impacting your work. Adjust your approach as needed to maximise benefits.
Share your success so other can benefit from what you have learned and what works best for you.
Final Tips
Microsoft 365 Copilot is a remarkable assistant that can amplify your productivity, spark innovation, and even make mundane tasks more manageable. But remember, it’s a tool designed to enhance your capabilities – not replace them. By using it thoughtfully, staying informed about its features, and integrating it into good work habits, you can unlock its full potential.
Technology is a force multiplier, but it’s the human element that truly makes the difference. Copilot offers incredible capabilities, but it’s up to you to wield them effectively. Use it wisely, continue to learn, and keep pushing the boundaries of what’s possible. Your proactive engagement and thoughtful application are what turn a powerful tool into transformative results. So take charge, embrace the technology, and watch how it elevates the work you do every daym, little my little, bit my bit can make a huge difference in a week.
Oh and don’t forget to share your successes with others.
At CES 2025 in Las Vegas this week, Microsoft’s head of Windows devices, Pavan Davuluri, announced that Phi Silica, a Small Language Model (SLM), will be integrated into the Windows runtime as part of Copilot in the first quarter of 2025 to provide offline use and performance boosts whilst also paving the way for additional features and privacy enhancements made possible through local processing.
What’s a Language Model?
Before diving into the details, it’s important to understand what a language model is. Language models are designed to comprehend, generate, and perform human-like language tasks, having been trained on vast amounts of data. However, not all language models are the same – they come in different sizes, large and small, each with unique strengths and weaknesses tailored to specific requirements.
The main differences between small and large language models lie in their size, capabilities, and resource requirements.
LLMs are ideal for applications needing high accuracy and versatility, such as advanced search, chatbots and content generation.
SLMs are generally more suited for specific, lightweight applications, like mobile apps and edge devices and laptops such which have local NPUs like Copilot+ PCs.
SLMs are coming to Windows 11
The Phi Silica SLM, which was first showcased at Microsoft Build in Seattle in May 2024, is designed to complement the Large Language Model (LLM) that runs in the cloud allowing specific AI workloads and processing to be run locally or handed over and run in parallel with the cloud based LLMs.
Small, but mighty, on-device SLM
Microsoft
Why? Well, whilst LLMs are typically faster and more accurate, they require cloud-based operations and can be costly to run and inflict subscription fees (think Microsoft 365 Copilot). SLMs, on the other hand, can run many and other AI-driven applications and tasks locally on PCs, ensuring privacy and preventing data leakage to the cloud. However, SLMs are less sophisticated and require dedicated Neural Processing Units (NPUs) to provide these local AI capabilities. Hello Copilot+PCs.
Copilot+ PCs and AI PCs
The NPUs (Neural Processing Units) in Copilot+ PCs are designed to be highly power-efficient, capable of performing trillions of operations per second (TOPS) while consuming very little power. Specifically, on devices with Snapdragon X Elite processors, the Phi Silica model’s context processing uses only 4.8 milliwatt-hours (mWh) of energy on the NPU.
Additionally, the token iterator stage of the model shows a 56% improvement in power consumption compared to running on the CPU. This efficiency allows Phi Silica to operate without overloading the CPU and GPU, ensuring smooth performance and minimal impact on other applications.
Microsoft said that features like Windows Recall, Click-to-Do and other AI functionalities will soon be able to leverage these SLMs. Phi Silica uses a 3.3 billion parameter model, fine-tuned by Microsoft for both accuracy and speed and will. Improve performance, enhance privacy and enable more “offline” usage.
In a recent podcast episode with Bill Gurley and Brad Gerstner, Satya Nadella – CEO of Microsoft, discussed a wide range of topics related to his role at Microsoft, the state of the technology, business growth and capitalism in this new “AI Era”.
The podcast which you can watch on YouTube here covered some interesting topics including the Future of AI Agents and their potential to transform how we interact with technology. In this blog (worth a listen), Satya gives his predications/insights into the future of AI Agents and emphasises that AI agents will fundamentally change the landscape of software-as-a-service (SaaS) solutions, predicting that the traditional notion of business applications will collapse in the era of agentic AI.
What is Agentic AI?
Agentic AI refers to artificial intelligence systems that can make decisions and take actions autonomously, without direct human intervention. These systems are designed to perceive their environment, reason about the best course of action, and execute tasks independently. In short these agents are designed to function as workplace teammates, capable of handling various tasks across different applications.
As example, in e-commerce platforms, instead of static, rule based chatbots, agentic AI-driven systems can track a customer’s journey, personalised recommendations, and assist with returns seamlessly without user / supervisor input. These agents will be able to actively learn from interactions, optimising the customer journey in real time and learning about user preferences.
Agentic AI typically inhibits the following features:
Autonomy: Agentic AI systems can operate independently, making decisions based on input data and predefined goals.
Adaptability: These systems can adapt to changing circumstances and inputs, adjusting their actions to achieve their objectives.
Proactivity: Agentic AI can anticipate user needs and take actions without explicit instructions, making them more proactive in their behavior.
Collaboration: In the future, agentic AI systems will be able to work together in multi-agent networks, collaborating to handle complex tasks that a single agent cannot manage alone.
Changes Ahead for AI Agents
The video / podcast is an hour and a half (but an enjoyable and informative listen). Reading between the sections, Satya talks extensively about where he sees AI Agents evolving massively through 2025. I have summarised this below.
Increasing Sophistication and Capabilities
AI agents will become increasingly sophisticated and capable, eventually replacing traditional software applications. These agents will be able to understand and anticipate user needs, providing personalised and proactive assistance. They will leverage advanced natural language processing (NLP) and machine learning algorithms to interact with users in a more human-like manner.
Autonomous AI Agents
Through 2025. we will see autonomous AI agents handle more and more complex tasks with minimal human oversight, optimising workflows and enhancing efficiency across industries. These agents will streamline workflows, manage intricate operations, and simplify everyday activities. For example, OpenAI’s “Operator Agents” will autonomously execute multi-step processes, such as scheduling meetings or managing projects.
Multi-Agent Networks
Sayta talks abiut the “future” being a place that is not about singular agents but more about networks or systems of agents where agents can discover and collaborate with other agents. These multi-agent networks will enable agents to handle tasks that they can’t do themselves by invoking other agents (agents talking to other agents). This collaborative approach will enhance the overall capabilities and efficiency of AI agents.
Vertical AI Agents
Vertical AI agents, which are specialised for specific industries, are expected to have their moment in 2025. These agents will dominate their respective fields by offering tailored solutions that address industry-specific challenges. For example, retail AI agents will act as personal shoppers, offering personalised recommendations and optimising inventory management.
Persistent Memory and Personalisation
AI systems with persistent memory will enable highly personalized interactions, transforming AI into long-term companions that adapt to user preferences and habits. This capability will allow AI agents to provide more relevant and context-aware assistance, enhancing user experiences.
Emotional Intelligence
Future AI agents are expected to possess emotional intelligence, allowing them to understand and respond to human emotions. This will enable more empathetic and effective interactions, particularly in customer service and healthcare settings.
Integration with IoT and Personal Devices
AI agents will increasingly integrate with the Internet of Things (IoT) and personal devices. This integration will enable seamless interactions across various platforms and devices, creating a more connected and efficient ecosystem. For example, AI agents in smart homes will manage household tasks, monitor energy usage, and provide personalized recommendations.
Ethical AI and Transparency
As AI agents become more prevalent, there will be a greater emphasis on ethical AI and transparency in decision-making. Ensuring that AI agents operate responsibly and transparently will be crucial for gaining user trust and acceptance. This includes addressing issues related to data privacy, bias, and accountability.
Proactive AI Agents
Proactive AI agents will anticipate user needs and take actions without explicit instructions. For example, an AI assistant might reorganize your day based on traffic updates and weather, reschedule missed appointments, and even draft personalized messages. This proactive approach will make AI agents more valuable and indispensable in daily life.
Enhanced Communication and Collaboration Tools
AI agents will enhance communication and collaboration tools, making it easier for teams to work together. These agents will facilitate real-time collaboration, manage project timelines, and provide insights to improve productivity. They will also assist in content creation, research, and workflow automation.
Shift and the of SaaS apps?
Another interesting section to listen too is at around 31 minutes, where Satya talks about his vision of how AI agents could potentially replace traditional SaaS (Software as a Service) applications. Whilst something that will not happen over night, he talked about the shift from business apps with connectors into other apps, but in an agent to agent and agent to back-end system.
We can already have connectors into applications like SAP, Dynamics etc. A great quote he used was “when was the last time any of us really went to a business application” In the AI age, we access the data in these systems from a mesh of data sources which over time, these back-end SaaS systems would eventually become obsolete as AI agents take over multi-repository CRUD (Create, Read, Update, Delete) operations. This shift would lead to the collapse of conventional business applications, with AI agents handling the core logic.
The idea will be that you simply pull information from systems through AI Agents such as looking up customer details, updating inventories, changing a contact in NetSuite CRM for example or checking delivery status for an order.
Other examples, Sayta talked about with regards AI Agents included:
Infinite Memory: He explained that infinite memory refers to the ability of AI agents to retain and recall information over extended periods, much like a human’s long-term memory. This capability will allows AI agents to build on past interactions and experiences, making them more effective and personalized in their responses and actions.
Proactive Task Management: AI agents are envisioned to operate autonomously, handling complex tasks such as processing customer returns, managing shipping invoices, and optimizing supply chain operations. This proactive approach reduces the reliance on user-initiated interactions, further diminishing the need for traditional SaaS applications.
Automation of Business Logic: Satya explained that AI agents would be able to automate many backend business processes, creating a new tier of multi-agent orchestration. This means that business logic, which is currently hardcoded into individual applications, will be managed by AI agents across multiple apps or databases and will adapt based on useage and need.
Integration with Existing Tools: Nadella highlighted the integration of Python with Excel as an example. AI agents can use Excel’s visualisation capabilities for advanced tasks, transforming it into a more intelligent and autonomous tool. This integration demonstrates how AI agents can enhance existing applications, making them more efficient and reducing the need for traditional SaaS apps.
This blog takes a stroll back down the 2024 memory lane and looks at some of the highlights I have seen through 2024 from a technology (I fo.cus here mainly on Cisco and Microsoft) and what we achived at Cisilion – where I’m the CTO. We are sarting with January and working thriugh to December 2024.
As we settle back to work in 2024 Microsoft 365 Copilot became available for every organisation to buy at $30 per user per month. Microsoft also released Copilot Pro for Consumers priced at $20 per user per month. https://robquickenden.blog/2024/01/microsoftcopilot-for-everyone
Aligned with this Microsoft also announced a new tier of specialist partners, known as Copilot Jump Start Partners who would gain access to specialist funding to help customers test and adopt Microsoft 365 Copilot. Cisilion are announced as one of this elite partners.
Cisilion were also crowned one of 17 partners in the UK as Microsoft Cyber Security Investment Partner due to our exemplar work in helping organisations leverage the best of Microsoft Threat Protection, Identity and Access Control and Data Protection.
Cisco Live 2024 saw over 16,000 people – the largest in person attendance in more than 6 years. The theme was very much aligned with the industry buzz and innovation around AI with Cisco emphatic statement “there is no AI without a network”. This was very much the theme and focussed on Cisco’s innovations and vision around the network and Data Centre fabric for the AI era that is among us.
Mar 2024
Cisco completed the acquisition of Splunkwhich they acquired in November 2023 for $28billion.Cisco say that the combination of Cisco and Splunk will provide truly comprehensive visibility and insights across an organization’s entire digital footprint, delivering an unprecedented level of resilience through the most extensive and powerful security and observability product portfolio on the market.
Cloud Security: Cisco Announces Cisco Hypershield . Not planned for release until sometime in 2025, Hypershield is different to traditional security products and is integrated directly into the network’s fabric, offering a revolutionary approach to protecting digital infrastructure services in data centres, protecting applications, devices, and data across public and private data centers, clouds, and physical locations.Cisco Hypershield: New Era of Distributed, AI-Native Security
Microsoft Licensing all Change: Microsoft forced to “de-couple” Teams from new Microsoft 365 and Office 365 Subscriptions after EU monopolies ruling, impacting the price new commercial customers pay for Microsoft 365 and Teams.
The AI Powered PC: Microsoft announce the next generation of Computing with the Copilot+ PC, built in partnership with Qualcomm. At the heart of the Copilot+ PCs lies groundbreaking ARM CPU and NPU technology, capable of over 45 trillion operations per second, powering a new era of AI experiences on Windows PCs. They are designed to run AI workloads with unprecedented efficiency and speed, outperforming competitors and enabling features like Recall, Cocreator, and Live Captions. These will power the next wave of edge AI. https://robquickenden.blog/2024/05/sufacepro11-laptop7/
Cisco announces new $1B AI investment wave at Cisco Live in Vegas – a bold move to foster industry innovation and customer readiness and likely help them fund and invest into future acquisitions which is becoming common in the industry with start up innovation and backing.Cisco Live 2024: Unveiling an AI-powered and secure future – Modern Work and AI Blog
CrowdStrike update bug causes global IT outages as update bricks Windows devices and costs the economy big time with flights grounded and huge disruption everywhere.
2025 Event Planning: Cisilion finalise our event plan for H1 2025 include more industry aligned events for Legal, Public Sector and Tech for Social Impact.
MVP Summit tickets booked for March 2025
Happy and prosperous 2025
I’d finally like to thank all my followers and subscribers a very happy new year!
Windows 11 is set to make a huge change to how we use cameras and webcams on Windows 11 PCs with the introduction of advanced camera features. These new functionalities, currently available in the Windows 11 Insider Preview Build in the Dev Channel, promise to enhance accessibility and usability for a wide range of users.
Previously, Windows allowed camera access to only one application at a time, which caused conflicts and limited multitasking capabilities. With this new feature, multiple applications can now access and utilise the camera feed simultaneously.
Key Features and Benefits
Multi-App Camera Support: One of the standout features is the ability for multiple applications to be able to access your devices camera/webcam at the same time. This is particularly beneficial for people who need to stream video to different platforms at the same time. For instance, remote workers can now participate in multiple virtual meetings without needing to switch between applications (and turn off their cameras), and in the consumer space, gamers can stream their gameplay on various platforms concurrently.
Basic Camera Function: Designed to improve stability of “older” webcams and deices and to help with debugging, Microsoft are introducing a feature limiting the webcam’s features to the essentials. This ensures that the camera can operate at its most basic level, which is useful if other features are causing issues.
Enhanced Accessibility: Developed in conjunction with accessibility and hard-of-hearing community, the multi-app support feature also enables video streaming to both a sign language interpreter and the end audience simultaneously. This could be a significant step forward in making technology more inclusive and accessible.
Use Cases
Remote Work and Collaboration: With the multi-app camera support, professionals working from home can join multiple video conferences at once, making it easier to manage different meetings and collaborations without the hassle of switching between apps.
Content Creation and Streaming: Gamers and content creators will find the new features particularly useful. They can now stream their content on multiple platforms simultaneously, reaching a broader audience and enhancing their streaming capabilities.
Educational Purposes: Teachers and educators can leverage these features to conduct virtual classes more effectively. For example, they can stream their lessons to different platforms or groups of students at the same time, ensuring that everyone has access to the content.
Enabling and using the Feature
You need to be running Windows Insider Build 26120.2702 or later.
To activate the feature, users need to head over to settings and enable the “Multi-App Camera” setting by toggling it on as shown in the screenshot below.
Once enabled you’ll be able to use your camera(s) in multiple apps. The shot below shows the camera app and a Teams video call using the same camera simultenuously.
Still more to come
Microsoft has also said that more options are coming in the advanced camera settings, including the ability to choose and customise things like resolution and frame rate for the webcam/Camera(s).
These enhancements (also fed by user feedback from the Windows Feedback Hub), will provide users with greater control over their camera settings, allowing for a more customised and optimised experience.
In this review I look at the Surface Laptop 7 which I’ve been using daily for the past 3 weeks. We look at ascetics, performance, battery life and more. It’s the first Copilot+PC from Microsoft which is set to yet again set the standards on the future of AI powered Windows devices!
I first got my hands on one of these devices last month at Microsoft Ignite 2024 in Chicago, where I had the pleasure to spend time with the global Surface Team in the community hub in the middle of the Ignite Expo Hall.
On show were the very latest Surface Copilot + PCs which feature the Qualcomm Snapdragon X powered devices that deliver over 45 Trillion Operations per Second (TOPS) of NPU power.
As part of the demo showcase, the devices were running the latest “insider” builds of Windows 11 where new innovative AI features within Windows, such as Recall and Click-To-Do, as well as updates to apps from leading developers including Adobe who were showcasing the next wave of innovation that is possible by harnessing the power of local NPUs on these new Copilot + PCs.
My History with Surface
I’ve been a fan of Surface many years, having owned, borrowed, or used numerous models since we transitioned to Surface around the Surface Pro 4 era. I even had a Surface Pro v1 and a Surface RT with Arm chipset running Windows 8 back in 2012 – devices I still have today in my “museum”.
As a Microsoft MVP, I’m also lucky to get access to demo and trial devices through the year which has given me some great perspectives of the continual evolution, advancements and innovation that Surface brings, not only to end user compute, but to the development and innovation of Windows.
Until recently, my daily device has been the Surface Pro 9 5G. This is a Qualcomm powered ARM device running Windows on Arm (WoA). I also have a smaller (Intel powered) Laptop Go, which I use when traveling light!
My latest laptop, and the focus of todays’ blog is the 13.8″ Surface Laptop 7. This is the latest generation of Copilot+ PCs. It is powered by the latest Qualcomm Snapdragon X Elite Arm processor and it truly a thing of beauty!
Not only does Surface Laptop 7 look absolutely gorgeous, with its premium sleek black finish, but the ‘instant on’ feature and Windows Hello ESS (which stands for Enhanced Sign-in Security) means that I am signed in instantly – no delay, and no “looking for you”. You click the button; the device wakes up and you are in.
Windows Hello ESS uses specialized hardware and software components, including Virtualization Based Security (VBS) and Trusted Platform Module 2.0 (TPM 2.0), to isolate and protect biometric data. This ensures that biometric data, like facial recognition or fingerprint information, is securely stored and processed
What are Copilot+ PCs?
The Qualcomm Snapdragon powered Copilot+ PC is designed to deliver an unparalleled user experience, combining cutting-edge technology with seamless performance and truly all day battery life combined with whisper quiet operation. These are powered by Qualcomm Snapdragon Plus and Elite processors (Arm processors) and run Windows on ARM as the core Windows Operating System.
Windows has traditionally run on machines that are powered by x86 / x64 processors, but more recently, also runs on devices powered by Arm processors. That is the case for the current generation of Copilot+PCs like Laptop 7 and Surface Pro 11.
Arm-powered devices are particularly interesting because the power-frugal nature of the Arm architecture enables these devices to offer longer battery life while delivering great performance. Arm Systems on Chip (SoC) often include other key features such as a powerful CPU, GPU, Wi-Fi & mobile data networks, as well as Neural Processor Units (NPUs) for accelerating AI workloads.
For most users, the differences between Windows on Arm and Windows running in x86/x64 are invisible other than the performance and efficiency improvements Arm based devices can bring to Windows.
The Laptop 7 I have been using is the 13.8 inch device with 32GB RAM and 1TB SSD.
Surface Laptop 7: The Out of Box Experience
From the moment I unboxed the device it gleamed with the high quality, premium elegance that is Surface. People often ask me what it is about Surface that I love compared to “other” brands.
Surface Laptop 7 Copilot+ PC
You only have to hold and feel a Surface to fall in love with it. It is truly elegant and premium device in every way, but more importantly, Surface is designed to showcase the very best of the Windows and is always the innovator and leader upon which other OEMs are “inspired” to copy. From touch screen, 2-in-1,to pen and ink and Windows Hello, these features were all born with Surface. Copilot+ PCs are no different. The stage is set for the future of AI powered devices.
Next there is the sustainability factor. Surface is built from more recycled materials with the enclosure being constructed of >67.2% recycled materials, including 100% recycled aluminum. Surface Laptop is another step toward Microsoft’s goal to be carbon negative, water positive, and achieve zero waste by 2030.
Surface Laptop 7: What’s under the hood?
This is a Surface through and through. High Quality, premium finish, and fantastically put together with the all the best hardware to make Windows shine.
Horse Power – Unlike the Surface Laptop 1-6, Laptop 7 is powered by ARM processors. Microsoft offer a choice of Snapdragon X Plus (10-core) or Snapdragon X Elite (12-core). The 15-inch version by comparison only offers the Snapdragon X Elite.
Connectivity: Surface Laptop 7 ships with the latest Wi-Fi 7 and Bluetooth 5.4, along with two USB-C Thunderbolt 4 ports, and and “old-skool” USB-A. There’s also a 3.5mm headset jack, a microSDXC card slot, and the standard Surface-Connect Port too! The device can be charged via the Surface Port and/or USB-C.
Cameras and Video: The “web-cam2 is a 1080p Full HD camera for your Teams or Webex calls and also incorporates the Windows Hello Biometric / Facial security. Video and images are enhanced by Windows Studio Effects powered by the Surface Laptop 7’s local NPU.
Audio: On board we get the usual Dual Studio Mics with AI powered voice focus, OmniSonic stereo speakers with Dolby Atmos® and support for Bluetooth LE Audio
Display – The screen on the 13.8″ Surface Laptop 7 supports a resolution of 2304 x 1536 with contrast ratio of 1400:1 and refresh rate of 120Hz. The screen is fully multi-point touch enabled and is finished with a coating of Corning’s Gorilla Glass 5. The is no Surface Pen support (but to be honest, the form factor doesn’t really lend itself to pen and ink).
Keyboard: Surface Laptop gives you a full size keyboard. The is plenty of travel in the keys and decent traction. The keys also have back-lighting with different levels of brightness. You also get a sizeable trackpad. You even get the Copilot Key 🙂
Surface Laptop 7: Secure from Chip to Cloud
Surface Laptop 7 (along with Surface Pro 11), powered by Qualcomm Snapdragon, are also examples of Microsoft’s commitment to robust security through their chip-to-cloud approach.
Central to this security architecture is the Microsoft Pluton TPM 2.0, which provides a hardware-based root of trust, ensuring that sensitive data, such as encryption keys and user credentials, are securely stored and protected from tampering. This is complemented by Windows 11’s Secured-Core PC capabilities, which integrate hardware, firmware, and software protections to defend against sophisticated cyber threats and attacks.
Additionally, these devices feature Windows Hello face authentication with Enhanced Sign-in Security, offering seamless and secure biometric authentication. This leverages advanced facial recognition algorithms and hardware-level security to provide a fast and secure login experience.
Finally, Microsoft Defender is fully integrated at hardware and Operating System level to provide comprehensive enterprise protection against malware, viruses, and other cyber threats, further enhancing identity and privacy protection.
These features make Surface Laptop 7 and Surface Pro 11 secure, reliable choices for users and organisations who need the highest levels of protection for their data and privacy.
App Support – Will my Apps Work with ARM?
In short yes (almost certainly).
Application compatibility with Windows on Arm has always been a concern and I have seen many people, and organisations avoid “non Intel” Windows devices for fear their app will not work.
Outside the original Surface RT, I have been using ARM based Surface devices since the Surface Pro X. Today, I am yet to encountered any apps that do not work on my ARM powered devices. Every applications I use (including some from Adobe) now have native ARM versions of their apps.
Prism Emulation works as a software simulator, just-in-time compiling blocks of x86 instructions into Arm64 instructions with optimisations to improve performance of the emitted Arm64 code.
For any app you encounter for where there is not an ARM-native app, Windows 11 leverages Microsoft’s PRISM emulator. This provides x86 and x64 emulation to run non-ARM native apps in emulation mode, which the Surface Laptop 7 runs perfectly well. The benefit of using (and having) native ARM applications however is to allow users to fully benefit from the power and battery efficiency that these devices offer over the intel variants.
Microsoft App Assure is a service designed to help organisations ensure their applications run smoothly on Windows 11, including those on ARM-based devices. With App Assure, Microsoft offers expert support to resolve any compatibility issues, providing peace of mind when transitioning or updating applications to run on ARM architecture. This support is crucial for organisations embracing the efficiency and performance benefits of Windows on ARM.
Printers and Peripherals – will they work on ARM?
In short – most will.
When considering a transition to Windows on ARM devices, one of the primary concerns is whether printers and other peripherals will work seamlessly. Personally I have no issues at all. I use a Surface Dock, blue tooth keyboard and mouse, USB external webcam and an Epson Ink Jet Printer. Most modern peripherals will work without issues.
Printers (well older ones) can be a little more challenging due to lack of driver support, but Microsoft is actively working to improve this by developing more ‘Class drivers’ for legacy hardware.
Whilst the situation is improving, organisations with older or specialised hardware (we see a lot in education and manufacturing) may find they need to still with Intel variants for now, or at least check compatibility before moving to Windows on ARM.
Microsoft's approach of replacing legacy drivers with "class drivers" is part of their broader strategy to simplify and standardise driver support across Windows devices, including ARM-based systems. Class drivers are intermediate drivers that provide a simple interface between a vendor-written "minidriver" and the Windows operating system. This means that instead of each hardware manufacturer creating and maintaining their own drivers, they can use a standardised class driver provided by Microsoft.
Better Together – Windows 11 and Copilot+PCs
Windows 24H2 (along with some new Windows features that are currently in Preview) are set to revolutionise the user experience with a suite of new AI-powered tools designed to enhance productivity and streamline tasks.
Among the most anticipated features is Windows Recall, which allows users to search for files, emails, and web pages by describing what they remember, rather than relying on keywords. This feature, powered by multiple AI models running locally on the device, aims to significantly reduce the time spent searching for information.
Windows Recall (Preview)
Click to Do enables quick actions with text or images found in Recall’s snapshots (or from any screen), making it easier to copy text or share images. This is similar to Google Circle-To-Do feature you might have on your smart phone!
Another exciting addition is the Windows Copilot Runtime, which integrates over 40 different AI models, including a Small Language Model (SLM) and an Optical Character Recogniser. These enable the new tools like Click-To-Do along with new Windows features such as Live Captions, Auto Super Resolution, Generative Fill and Windows Studio Effects.
These all work locally (using the NPU) without sending data to the cloud. These tools not only enhance accessibility and visual quality but also provide a seamless and efficient user experience.
This prevents the CPU getting overloaded and slowing down your device, making things like Teams call with video filters applied, much less processor intensive and better quality.
Surface Laptop 7: Value for Money
Pricing of course varies by region and also your sector. It also varies if you are a consumer or corporate, so if buying for work, speak to you Microsoft Surface Partner.
On Microsoft’s official website, pricing for Surface Laptop 7 starts at £944 (inc VAT).
The model I am using is the 13.8″, Snagdragon X Elite with 32GB RAM and 1TB SSD which took the price up to just over £1,500.
In comparison (everyone always compares to Apple), the cost of the Mac Book Pro 14″ of close to equivalent spec is just shy of £2,000
Surface Laptop 7 – Summing it up
In the past few weeks, using Surface Laptop 7 has really enforced my love and passion for Surface and Windows on Arm powered devices and the future potential of Copilot+PCs.
Compared to a Intel Powered Surface Laptop 6, everything about this device feels faster and more responsive compared to any previous device (even my ARM powered Surface Pro 9) that I have used.
The device is lightening fast, silent (like it makes no noise at all) as it has no fans, and battery life averages over 17 hours of actual use between charges (and that is connected to an external screen too). I never take power supply when I go out.
The device wakes up and signs me in instantly when I lift the lid, thanks to Windows Hello ESS and when working, the device doesnt even apprear to get warm.
Video and Audfio Quality is enhanced by the new Windows Studio Effects in Windows 11, which leverages the NPU for superior audio quality and voice isolation and features like Eye Contact and local background blurring has a huge impact on video calls.
The new and exciting AI features like Microsoft Recall and Click- to-Do (in preview), along with the other Windows 11 enhancements are also great to use (these only run on Copilot+PCs today).
