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Microsoft Build opening keynote | KEY01

Microsoft Build Opening Keynote | KEY01 Summary

Short Summary:

The keynote focuses on the transformative power of AI and how it's unlocking new opportunities for developers and businesses. Key technologies discussed include Microsoft Copilot, Azure AI, and Windows Copilot Runtime. These platforms are designed to empower developers to build AI-powered applications and experiences across various domains, including productivity, healthcare, education, and gaming. The keynote highlights the importance of a complete AI stack, encompassing infrastructure, models, tools, and extensibility, to enable widespread adoption and impact. The speakers emphasize the importance of responsible AI development and the potential for AI to solve real-world problems and make a positive impact on society.

Detailed Summary:

Section 1: Introduction & The AI Revolution (Satya Nadella)

• The keynote begins with Satya Nadella outlining the two major dreams of modern computing: computers understanding humans and computers aiding human reasoning and action.
• He emphasizes the current era as a "Golden Age of Systems" driven by the scaling laws of deep neural networks (DNNs).
• Nadella highlights the emergence of a new multimodal user interface, enhanced memory capabilities, and improved reasoning and planning abilities in AI.
• He showcases real-world examples of developers using AI to impact lives, such as an Indian farmer using GPT-3.5 to understand government subsidies and a Thai developer using GPT-4 for RAG optimization.

Section 2: The Copilot Stack (Satya Nadella)

• Nadella introduces three key platforms: Microsoft Copilot, the Copilot Stack, and Copilot Plus PCs.
• Copilot Plus PCs are designed to be AI-first, with the Windows Copilot Runtime enabling developers to build AI applications on Windows.
• The Windows Copilot Library offers ready-to-use local APIs for integrating AI capabilities into applications.
• Nadella announces native support for PyTorch and WebNN frameworks on Windows, making it easier for developers to leverage open-source AI models.

Section 3: Azure AI Infrastructure (Satya Nadella)

• Nadella discusses Azure's role as the "world's computer," emphasizing its global infrastructure, sustainability initiatives, and optimized AI hardware.
• He highlights Azure's partnerships with Nvidia and AMD, providing access to the latest AI accelerators.
• Nadella emphasizes the scaling of Azure's training and inference fleets, making AI accessible to a wider audience.
• He announces the general availability of GPT-4 on Azure OpenAI Service, enabling developers to build groundbreaking applications using this powerful multimodal model.

Section 4: Models & Tools (Satya Nadella)

• Nadella highlights Azure AI's diverse model selection, including large language models (LLMs) and small language models (SLMs).
• He emphasizes the importance of open-source models and the expanded partnership with Hugging Face to bring more models to Azure AI Studio.
• Nadella introduces new additions to the 53 family of SLMs, including a multimodal model with vision capabilities and larger models for web, mobile, and edge applications.
• He showcases the impact of 53 in various domains, including agriculture, healthcare, and education.
• Nadella announces a partnership with Khan Academy to use 53 for math tutoring and make their AI assistant, Kigo, free for teachers.
• He introduces Azure AI Studio, an end-to-end development environment for building, training, and fine-tuning AI models responsibly.
• Nadella announces Azure AI Custom Models, enabling developers to train models specific to their domain and data.

Section 5: Data & Microsoft Fabric (Satya Nadella)

• Nadella emphasizes the importance of data for training and fine-tuning AI models.
• He highlights Azure's comprehensive data estate, including operational stores and analytics.
• Nadella discusses Microsoft Fabric, an intelligent data platform used by over 11,000 customers.
• He introduces real-time intelligence in Fabric, enabling users to gain actionable insights from streaming data.
• Nadella emphasizes the integration of AI across the data stack, including Azure AI Search, which powers ChatGPT's assistance API.

Section 6: Developer Tools & GitHub Copilot (Satya Nadella)

• Nadella discusses the evolution of software development with the emergence of generative AI.
• He highlights GitHub Copilot's widespread adoption and its ability to empower developers by providing programming knowledge in their native languages.
• Nadella introduces GitHub Copilot Workspace, a tool that helps developers stay in the flow by generating code, specifications, and plans based on user input.
• He announces GitHub Copilot Extensions, enabling developers to customize Copilot with capabilities from third-party services, including Azure.

Section 7: Microsoft Copilot (Satya Nadella)

• Nadella emphasizes the impact of Microsoft Copilot in democratizing expertise across organizations.
• He introduces Copilot Studio, a tool that allows users to customize Copilot for specific business processes and workflows.
• Nadella announces Team Copilot, an extension of Copilot that acts as a team assistant, facilitating meetings, collaborating on projects, and managing tasks.
• He introduces the concept of Copilot agents, which can work independently and proactively to automate tasks.
• Nadella emphasizes the importance of security in the Copilot stack and Microsoft's commitment to its Secure Future Initiative.

Section 8: Microsoft 365 & Copilot (Rees Jha)

• Rees Jha discusses the evolution of Microsoft Copilot within Microsoft 365, highlighting its adoption across various industries and geographies.
• He introduces the standalone Copilot app, which integrates Microsoft 365 services and is grounded in the Microsoft Graph, providing contextualized assistance based on user data.
• Jha showcases the Copilot app's capabilities, including web search, work-related tasks, and personalized recommendations.
• He announces Team Copilot, expanding Copilot's capabilities to serve teams and organizations.
• Jha highlights the importance of extending Microsoft Copilot to address specific business needs and achieve transformative results.

Section 9: Copilot Extensibility (Jeff Teper)

• Jeff Teper explains how developers can extend Microsoft Copilot with custom co-pilots and agents.
• He demonstrates the process of building co-pilot extensions using SharePoint, Copilot Studio, and Visual Studio Code.
• Teper highlights the ability to connect co-pilots to various data sources, including SharePoint, Dataverse, and external systems.
• He showcases the integration of custom actions and the ability to test and publish co-pilot extensions to Microsoft Copilot and Teams.
• Teper emphasizes the power of co-pilot extensions to enhance workflows and automate tasks across various Microsoft 365 applications.
• He announces new features for developers in Teams, including source code editing, compact mode, keyboard shortcuts, and meet now functionality.

Section 10: Windows Copilot Runtime (Pavin Davui)

• Pavin Davui discusses the Windows Copilot Runtime, a new integral part of Windows 11 designed to empower developers to build AI experiences on Windows.
• He highlights the capabilities of Copilot Plus PCs, which are optimized for AI workloads and feature powerful NPUs.
• Davui emphasizes the importance of openness and the Windows Copilot Library, which provides APIs and models for developers to leverage.
• He showcases the Recall experience, which uses on-device models to capture context and provide semantic search capabilities.
• Davui introduces F silica, a new SLM specifically designed for NPUs and Copilot Plus PCs, offering fast on-device inference.
• He announces native support for PyTorch and WebNN frameworks on Windows, making it easier for developers to bring their own models to the platform.
• Davui highlights the integration of Windows with other platforms, including Windows 365 and Meta Quest devices.

Section 11: Customer Examples & Impact (Rees Jha)

• Rees Jha showcases examples of how customers are using Microsoft Copilot to enhance productivity and drive business results.
• He highlights Amgen's use of Copilot in drug discovery and development, Lumen's use of Copilot for sales productivity, and Walters Kluwer's use of Copilot for tax and accounting workflows.

Section 12: The Future of AI (Kevin Scott)

• Kevin Scott emphasizes the transformative power of AI and the importance of developers in shaping its future.
• He highlights the scaling of AI systems, driven by increasing compute power and data availability.
• Scott discusses the co-pilot stack and its role in enabling rapid development and deployment of AI applications.
• He emphasizes the importance of focusing on ambitious projects that leverage the exponential progress of AI.
• Scott highlights the capabilities of GPT-4, a multimodal model with enhanced safety features and improved efficiency.
• He discusses the potential of smaller language models, such as 53, for specific use cases and constrained environments.
• Scott showcases the partnership with Khan Academy and the use of 53 for personalized math tutoring.
• He emphasizes the potential of AI to improve healthcare accessibility and reduce suffering.

Section 13: Conversation with Sam Altman (Kevin Scott & Sam Altman)

• Kevin Scott and Sam Altman discuss the rapid adoption of AI and the importance of developer innovation.
• Altman highlights the surprising speed of adoption and the creative ways developers are using GPT-4.
• Scott and Altman discuss the future of AI, emphasizing the continued improvement of model intelligence, speed, and cost.
• They emphasize the importance of building great products and services while leveraging AI as a new enabler.
• Scott and Altman discuss the importance of safe and robust AI deployment, highlighting the progress made in building safety systems and the need for continued research.

Section 14: Closing Remarks (Kevin Scott)

• Kevin Scott reiterates the importance of developers in shaping the future of AI.
• He emphasizes the need for developers to focus on ambitious projects that leverage the transformative potential of AI.
• Scott expresses gratitude for the work developers have done on the platform and excitement for the future of AI.