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Developer conferences are special places, especially when platform shifts are in the air. So, it’s exciting to be able to come back to Microsoft Build 2023 with a sense of anticipation that something big is unfolding around us.
I’ve always loved Steve Jobs’ description of computers as “bicycles for the mind.” It’s a beautiful metaphor, and I think it captures the essence of what computing is. And then, last November, we got an upgrade. With the launch of ChatGPT, computing went from a “bicycle for the mind” to a “steam engine for the mind.”
And now, as developers, we look forward to what we can do in this new era. Every layer of the technology stack will be changed forever.
ChatGPT is the fastest-growing consumer app we’ve ever seen. And we are now bringing Bing to ChatGPT as the default search experience, so we can provide answers that are timelier, more up-to-date, and grounded by search and web data. We’re excited to launch this integration in ChatGPT Plus starting today and to make it available to the free tier soon. And this is just the start of what we plan to do with our partners at OpenAI to bring the best of Bing to the ChatGPT experience.
Windows Copilot
Second, we are bringing Copilot to the biggest canvas of all: Windows. This is going to make every Windows user a power user, helping them take action, customize their settings, and seamlessly connect across their favorite apps:
Copilot stack and copilot extensibility
Next, we’ve built our copilots with a common architectural stack, and we are now making it available so that everyone can build their own AI apps and copilots—from the AI infrastructure, to foundation models, to the AI orchestration, all the way up to your copilot and its extensibility.
Whether it’s ChatGPT, Bing Chat, Microsoft Copilots, or your copilots, they will all share the same extensibility model. This is one of the most powerful things for any developer: to be able to write a plugin once and have it reach billions of users across all of these surface areas.
And we’re already seeing fantastic momentum:
Yusuf Mehdi, CVP and Consumer Chief Marketing Officer, showed all of this in action:
Azure AI Studio
Our new Azure AI Studio is the full-lifecycle developer toolchain for the new era of AI. You can train your own models, ground AI models—such as OpenAI’s ChatGPT and GPT-4—on your own data, create prompt workflows, and more. It also includes built-in support for AI safety.
We’ve been at work on AI safety for years. We have AI principles, which we have translated into a core set of processes that we implement across our engineering stack, as well as compliance and oversight. But the real priority is to build it throughout the entire toolchain, and that’s what we’re doing with Azure AI Studio:
Microsoft Fabric
Every AI app starts with data. That’s why we’re thrilled to announce Microsoft Fabric. It’s the biggest launch of a data product from Microsoft since the launch of SQL Server.
It unifies compute and storage, the product experience, governance, and the business model, across all the different types of analytics workloads. And this unification, at the end of the day, is what I think will fuel the next generation of AI applications:
***
As developers, one of the things that we should ask ourselves is: Why do we build technology?
The positive relationship between technology and economic growth has been evident for a long time. But it’s not just economic growth. We want lifespans to go up. We want education, prosperity, and standard of living to go up—everywhere. That’s why we build. That’s why we innovate. That’s why technology exists. It’s not technology for technology’s sake. It is for that broad impact.
For me, this all came together when I was visiting India earlier this year. I had a chance to see an example of an AI assistant, built on this next-generation AI, that will help Indian villagers gain easier access to government services. It had a profound impact on me. And so, I want to leave you with this video that epitomizes what you, as developers, can do in the days, weeks, months, and years to come:
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Summary: Windows 11 introduces Windows Copilot and Dev Home, leveraging AI to enhance user productivity and developer workflows. Windows Copilot offers centralized AI assistance, integrating with Bing Chat plugins for improved task completion and collaboration. The Hybrid AI loop and support from silicon partners enable AI development across Azure and client devices. Dev Home boosts developer productivity with features like WinGet configuration, Dev Drive for filesystem performance, and a customizable workflow dashboard. Windows Terminal integrates GitHub Copilot, providing AI recommendations within the Terminal app. Collaborating with NVIDIA, Qualcomm, AMD, and Intel, Windows expands its AI ecosystem. ONNX Runtime and Olive toolchain optimize AI models for diverse hardware targets. Windows also introduces ungrouped taskbar instances, improved archive format support, and enhanced development for Windows on Arm. In summary, Windows 11 maximizes productivity through AI-driven features like Windows Copilot and Dev Home, while fostering developer collaboration and expanding AI capabilities across devices.
Absolutely, the advancements announced at #MSBuild are truly exciting and transformative. The integration of Bing with ChatGPT, the introduction of Windows Copilot, and the unveiling of Microsoft Fabric all signify a major leap forward in the AI space.
The concept of ‘copilots’ and ‘plugins’ is particularly intriguing. It’s fascinating to see how AI is being leveraged to assist with complex tasks and enhance the capabilities of AI systems. This not only simplifies the user experience but also opens up a world of possibilities for developers.
Microsoft Fabric, as a unified platform for analytics, is a game-changer. It’s impressive to see how it brings together various aspects of data handling, from data engineering and integration to data science and real-time analytics. This will undoubtedly streamline the process of data management and analysis for organizations.
The introduction of Windows Copilot for Windows 11 is another highlight. The centralization of AI assistance on the PC platform is a significant step towards enhancing productivity and efficiency. It’s exciting to think about the potential impact this could have on the way we work and collaborate.
As many of us are preparing to gather in Hannover, Germany next week, I wanted to look back at the last year in manufacturing.
A lot has happened since Hannover Messe 2022. In an environment of increasing macro-economic headwinds, we are seeing many of our customers accelerate their digital transformation journeys to strengthen competitiveness.
Starting point for this transformation is a high-performing digital core, making data accessible across boundaries and driving innovation from the entire workforce. From there, cloud and AI technologies enable gains in productivity, resilience, time-to-market, and sustainability: Empowering a connected workforce and strengthening a resilient and agile supply chain. Accelerating the next generation of intelligent engineering and factories with the industrial metaverse. And building a foundation for an energy-efficient and sustainable future.
A great example of this innovation is Johnson Matthey, a global leader in sustainable technologies. They are developing new predictive modeling tools using the supercomputing capabilities of Azure HPC. This allows them to accelerate chemical simulations, explore the potential of AI, and get quantum-ready to help further their sustainability mission. They have been able to speed up quantum chemistry calculations and reduce the turnaround time for their scaled workloads from six months to just one week. It is truly impressive.
These are some of the key trends fueling the future our industry, and what you will see from Microsoft and our partners at HANNOVER MESSE 2023.
I invite you to read more in my new blog. And please join us in Hall 17 next week to see how your colleagues are maximizing the value of their digital investments to manufacture a more resilient and sustainable future. https://lnkd.in/g4ZGCq-f
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Select Accept to consent or Reject to decline non-essential cookies for this use. You can update your choices at any time in your settings.
As many of us are preparing to gather in Hannover, Germany next week, I wanted to look back at the last year in manufacturing.
A lot has happened since Hannover Messe 2022. In an environment of increasing macro-economic headwinds, we are seeing many of our customers accelerate their digital transformation journeys to strengthen competitiveness.
Starting point for this transformation is a high-performing digital core, making data accessible across boundaries and driving innovation from the entire workforce. From there, cloud and AI technologies enable gains in productivity, resilience, time-to-market, and sustainability: Empowering a connected workforce and strengthening a resilient and agile supply chain. Accelerating the next generation of intelligent engineering and factories with the industrial metaverse. And building a foundation for an energy-efficient and sustainable future.
A great example of this innovation is Johnson Matthey, a global leader in sustainable technologies. They are developing new predictive modeling tools using the supercomputing capabilities of Azure HPC. This allows them to accelerate chemical simulations, explore the potential of AI, and get quantum-ready to help further their sustainability mission. They have been able to speed up quantum chemistry calculations and reduce the turnaround time for their scaled workloads from six months to just one week. It is truly impressive.
These are some of the key trends fueling the future our industry, and what you will see from Microsoft and our partners at HANNOVER MESSE 2023.
I invite you to read more in my new blog. And please join us in Hall 17 next week to see how your colleagues are maximizing the value of their digital investments to manufacture a more resilient and sustainable future. https://lnkd.in/g4ZGCq-f
LinkedIn and 3rd parties use essential and non-essential cookies to provide, secure, analyze and improve our Services, and to show you relevant ads (including professional and job ads) on and off LinkedIn. Learn more in our Cookie Policy.
Select Accept to consent or Reject to decline non-essential cookies for this use. You can update your choices at any time in your settings.