The era of agentic and physical AI is here. The NVIDIA Blackwell architecture delivers groundbreaking advancements for next-gen AI and accelerated computing workloads ranging from reasoning and multimodal inference, to robotics simulation and visual AI agents. Explore how the purpose-built collaboration of NVIDIA Blackwell Ultra and NVIDIA RTX PRO 6000 Blackwell tackle a range of AI use cases leveraging the security and flexibility of Microsoft Azure cloud - delivering smarter, faster and more efficient AI.

This hands-on workshop will introduce participants to the fundamentals of automated AI red teaming generative AI systems for safety and security risks using Microsoft Foundry. Attendees will learn how to apply automated attack techniques to identify safety issues and security vulnerabilities across multiple risk dimensions before deployment. Participants will engage in hands-on walkthroughs and guided exercises to apply these concepts in realistic development scenarios.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Security teams face relentless pressure, complexity, and fewer resources. With generative AI, we have the opportunity to change the game. Join Microsoft product leaders to see what’s new in Security Copilot and how it’s transforming security and IT work.

Delivered in a silent stage breakout.

In a talk that has the potential to be irritating for both environmentalists and AI-optimists, we will tackle the growing concern about generative AI's environmental impact. We'll explore the energy costs of AI in an accessible way, look at what companies reveal (and don’t) and try to answer the question: is AI's energy cost an overblown issue, or should we be worried?

Security teams face relentless pressure - more alerts, more complexity, and fewer resources. With generative AI, we have the opportunity to change the game. Join Microsoft product teams to discover what’s new in Security Copilot and how it’s transforming the way security and IT teams work. In this session, we’ll share the latest features designed to automate tasks, surface critical insights, and accelerate response - helping you protect at the speed and scale of AI. Through demos, you’ll see how Security Copilot empowers your teams to detect, investigate, and defend smarter and faster than ever before

Join us for a hands-on workshop showcasing the latest Azure SQL innovations to supercharge your applications. Learn how to harness generative AI alongside Azure SQL Database to elevate your data strategies with AI concepts like language models, prompt engineering, Retrieval Augmented Generation (RAG) and streamline with Microsoft Copilot. Whether you're a developer, architect, or IT professional, this workshop is your ticket to mastering SQL and AI to stay ahead in the data-driven landscape.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Mark Austin (AT&T) and John Maio (CSX) share how they are using data and AI to drive customer experience transformation and operational efficiency at scale. From AT&T’s enterprise-wide GenAI platform and data democratization to CSX’s modernization of its data estate and real-time analytics, this session, enabled by Infosys and Microsoft, explores how purposeful AI adoption turns complex operations into intelligent, adaptive enterprises..

Discover how Dynamo AI, a fast-growing AI security startup in financial services and government, uses Azure AI to confidently deploy generative AI at scale. Attendees will learn how Dynamo’s auditable guardrails, hallucination checks, and observability keep applications reliable and compliant, while gaining insights on building and deploying responsible AI solutions that balance innovation, trust, and speed.

This hands-on workshop will introduce participants to the fundamentals of automated AI red teaming generative AI systems for safety and security risks using Microsoft Foundry. Attendees will learn how to apply automated attack techniques to identify safety issues and security vulnerabilities across multiple risk dimensions before deployment. Participants will engage in hands-on walkthroughs and guided exercises to apply these concepts in realistic development scenarios.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

You probably don’t need a collection of specialty databases. Just use Postgres instead! Written for application developers and database pros, Just Use Postgres! shows you how to get the most out of the powerful Postgres database. In Just Use Postgres! you’ll learn how to: Use Postgres as an RDBMS for transactional workloads Develop generative AI, geospatial, and time-series applications Take advantage of modern SQL including window functions and CTEs Perform full-text search and process JSON documents Use Postgres as a message queue Optimize performance with various index types including B-trees, GIN, GiST, HNSW, and more Over the decades, PostgreSQL, aka Postgres, has grown into the most powerful general-purpose database and has become the de facto standard for developers worldwide. Just Use Postgres! takes a modern look at Postgres, exploring the database’s most up-to-date features for AI, time-series, full-text search, geospatial, and other application workloads. About the Technology You know that PostgreSQL is a fast, reliable, SQL compliant RDBMS. You may not know that it’s also great for geospatial systems, time series, full-text search, JSON documents, AI vector embeddings, and many other specialty database functions. For almost any data task you can imagine, you can use Postgres. About the Book Just Use Postgres! covers recipes for using Postgres in dozens of applications normally reserved for single-purpose databases. Written for busy application developers, each chapter explores a different use case illuminating the breadth and depth of Postgres’s capabilities. Along the way, you’ll also meet an incredible ecosystem of Postgres extensions like pgvector, PostGIS, pgmq, and TimescaleDB. You’ll be amazed at everything you can accomplish with Postgres! What's Inside Generative AI, geospatial, and time-series applications Modern SQL including window functions and CTEs Full-text search and JSON B-trees, GIN, GiST, HNSW, and more About the Reader For application developers, software engineers, and architects who know the basics of SQL. About the Author Denis Magda is a recognized Postgres expert and software engineer who worked on Java at Sun Microsystems and Oracle before focusing on databases and large-scale distributed systems. Quotes I was pleasantly surprised to learn many new things from this book. - From the Afterword by Vlad Mihalcea An excellent guide covering everything from basics to cutting-edge features. - Dave Cramer, PostgreSQL JDBC Maintainer Pleasant, easy to read with tonnes of great code. - Mike McQuillan, McQTech Ltd Well-organized and easy to search. - Edward Pollack, Microsoft Data Platform MVP The missing guide to understanding and using Postgres. - Mehboob Alam, POSTGRESNX, Inc.

As organizations adopt AI to boost productivity and creativity, concerns grow about data security and possible leaks through generative AI tools like Copilot, ChatGPT, and Gemini. Microsoft’s Data Security Posture Management (DSPM) for AI helps organizations monitor AI activities, enforce data protection policies, and meet regulatory standards, allowing safe, productive AI use without compromising sensitive information.

Join us for a hands-on workshop showcasing the latest Azure SQL innovations to supercharge your applications. Learn how to harness generative AI alongside Azure SQL Database to elevate your data strategies with AI concepts like language models, prompt engineering, Retrieval Augmented Generation (RAG) and streamline with Microsoft Copilot. Whether you're a developer, architect, or IT professional, this workshop is your ticket to mastering SQL and AI to stay ahead in the data-driven landscape.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

As generative AI adoption accelerates, IT, security and compliance leaders must balance access to innovation with responsibility and governance. In this session on Copilot Trust & Safety you’ll learn about the Microsoft-built protections embedded in the platform, see how Copilot safety investments map to real-world risk scenarios, and get a clear understanding of how to proactively safeguard your organization through policy, compliance, and risk management tools while unlocking AI’s value.

Learn how NTT DATA’s Agentic AI Services for Microsoft can help you get out of “pilot mode” and drive real business value from your agentic AI and gen AI projects, faster. Our industrialized framework helps you move from AI experimentation to production quickly and unlock measurable return on investment. Our approach leverages automation, observability, support, and managed services to create a crucial link between your team, the new AI agents supporting them, and your existing knowledge base.

Join Jen Hoskins, NVIDIA’s Global Head of Cloud & Partnerships for Startups, for a live showcase featuring cutting-edge developer tools from NVIDIA Inception and Microsoft for Startups. Learn from from the teams behind Qodo, CodeRabbit, Factory AI, Arize, and Galileo as they bring live demonstrations to life, and about how their technologies help developers build, debug, and monitor AI applications using accelerated computing and generative AI.

What can we do as Product Managers when we are at the crossroads? Exploration of generative AI, its potential to transform product teams, and considerations around deepfake risk, misinformation, and ethics from a PM perspective.

Build AI that thinks in context using semantic blueprints, multi-agent orchestration, memory, RAG pipelines, and safeguards to create your own Context Engine Free with your book: DRM-free PDF version + access to Packt's next-gen Reader Key Features Design semantic blueprints to give AI structured, goal-driven contextual awareness Orchestrate multi-agent workflows with MCP for adaptable, context-rich reasoning Engineer a glass-box Context Engine with high-fidelity RAG, trust, and safeguards Book Description Generative AI is powerful, yet often unpredictable. This guide shows you how to turn that unpredictability into reliability by thinking beyond prompts and approaching AI like an architect. At its core is the Context Engine, a glass-box, multi-agent system you’ll learn to design and apply across real-world scenarios. Written by an AI guru and author of various cutting-edge AI books, this book takes you on a hands-on journey from the foundations of context design to building a fully operational Context Engine. Instead of relying on brittle prompts that give only simple instructions, you’ll begin with semantic blueprints that map goals and roles with precision, then orchestrate specialized agents using the Model Context Protocol. As the engine evolves, you’ll integrate memory and high-fidelity retrieval with citations, implement safeguards against data poisoning and prompt injection, and enforce moderation to keep outputs aligned with policy. You’ll also harden the system into a resilient architecture, then see it pivot across domains, from legal compliance to strategic marketing, proving its domain independence. By the end of this book, you’ll be equipped with the skills to engineer an adaptable, verifiable architecture you can repurpose across domains and deploy with confidence. Email sign-up and proof of purchase required What you will learn Develop memory models to retain short-term and cross-session context Craft semantic blueprints and drive multi-agent orchestration with MCP Implement high-fidelity RAG pipelines with verifiable citations Apply safeguards against prompt injection and data poisoning Enforce moderation and policy-driven control in AI workflows Repurpose the Context Engine across legal, marketing, and beyond Deploy a scalable, observable Context Engine in production Who this book is for This book is for AI engineers, software developers, system architects, and data scientists who want to move beyond ad hoc prompting and learn how to design structured, transparent, and context-aware AI systems. It will also appeal to ML engineers and solutions architects with basic familiarity with LLMs who are eager to understand how to orchestrate agents, integrate memory and retrieval, and enforce safeguards.

5-minute GenAI News

How Alan is using GenAI in custom support

Send us a text In this episode of Data Topics, Ben speaks with Kim Smets, VP Data & AI at Telenet, about his journey from early machine learning work to leading enterprise-wide AI transformation at Telenet. Kim shares how he built a central data & AI team, shifted from fragmented reporting to product thinking, and embedded governance that actually works. They discuss the importance of simplicity, storytelling, and sustainable practices in making AI easy, relevant, and famous across the business. From GenAI exploration to real-world deployment, this episode is packed with practical insights on scaling AI with purpose.