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Unlock the power of Real-Time Intelligence in the era of AI
breakout
by Will Thompson (Microsoft) , Tessa Kloster (Microsoft) , Bharathi Rajan (Swire Coca-Cola USA) , Fred Bellio (Swire Coca-Cola USA) , Ashokkan Somuveerappan (Apollo Hospitals Enterprise Limited) , Yitzhak Kesselman (Microsoft)

Real Time Intelligence is a transformative technology designed to empower businesses with real-time data insights and analytics. This session will cover the journey of Real Time Intelligence from its inception to its current state, highlighting key features, capabilities, and the impact it has on operational efficiency and decision-making processes. We will also highlight customer success stories and showcase how you can revolutionize your data strategy and unlock new opportunities for growth.

Agentic AI is swiftly transforming opportunities and risks in financial services. As banks use AI for secure experiences, criminals exploit these same technologies to create sophisticated scams and expand mule networks. OpenAI’s research underscores the urgency of these challenges. In this keynote, BioCatch will show how behavioral biometrics and fraud analytics, powered by Microsoft Cloud, help banks disrupt scams, dismantle mule networks, and rebuild digital trust worldwide.

Explore how Snapdragon® platforms are powering a new generation of intelligent devices designed to meet enterprise needs. Through insights from Snapdragon X Series and Nexthink’s employee experience analytics, this session will unpack how silicon-driven performance, security, and AI efficiency are transforming IT operations and redefining digital employee experience. You’ll walk away with clear strategies for integrating AI at scale.

Join this hands-on lab to design and deploy a modern, cloud-native analytics and AI solution using Azure Databricks, Microsoft Foundry, and Microsoft Copilot Studio. Work with the Zava-Litware scenario to perform data ingestion, orchestration with Lakeflow, AI-driven insights via Genie, mirrored catalog in Microsoft Fabric, Copilot Studio low-code automation, and advanced reporting in Power BI. Build a scalable, cost-efficient solution showcasing AI-powered analytics for business transformation.

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

As manufacturers and supply chain leaders navigate the dual pressures of operational efficiency and sustainability, geospatial intelligence (GSI) is emerging as a transformative force. This lab session explores how the integration of Earth observation data, AI, and cloud-scale analytics is enabling smarter, faster, and greener decision-making across industrial ecosystems.

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

SQL database in Fabric: The unified database for AI apps and analytics

Discover how SQL in Fabric brings transactional and analytical workloads together in one cloud-native database. In this session, we’ll show how developers and data teams can simplify AI-driven application development with near real-time insights and built-in AI, seamless OneLake integration, and end-to-end analytics—all in a single, unified experience.

In this lab you'll help a coffee shop unify their operational and analytical workloads with Cosmos DB in Microsoft Fabric. You'll blend operational data with curated sources using cross-database SQL, stream and visualize real-time POS events, and create a gold layer for personalization. Finally, you'll implement reverse ETL to Cosmos for lightning-fast serving and train a lightweight Spark notebook model to deliver the right offer at the right time before your customer’s order is ready.

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..

Brought to You By: •⁠ Statsig ⁠ — ⁠ The unified platform for flags, analytics, experiments, and more. AI-accelerated development isn’t just about shipping faster: it’s about measuring whether, what you ship, actually delivers value. This is where modern experimentation with Statsig comes in. Check it out. •⁠ Linear ⁠ — ⁠ The system for modern product development. I had a jaw-dropping experience when I dropped in for the weekly “Quality Wednesdays” meeting at Linear. Every week, every dev fixes at least one quality isse, large or small. Even if it’s one pixel misalignment, like this one. I’ve yet to see a team obsess this much about quality. Read more about how Linear does Quality Wednesdays – it’s fascinating! — Martin Fowler is one of the most influential people within software architecture, and the broader tech industry. He is the Chief Scientist at Thoughtworks and the author of Refactoring and Patterns of Enterprise Application Architecture, and several other books. He has spent decades shaping how engineers think about design, architecture, and process, and regularly publishes on his blog, MartinFowler.com. In this episode, we discuss how AI is changing software development: the shift from deterministic to non-deterministic coding; where generative models help with legacy code; and the narrow but useful cases for vibe coding. Martin explains why LLM output must be tested rigorously, why refactoring is more important than ever, and how combining AI tools with deterministic techniques may be what engineering teams need. We also revisit the origins of the Agile Manifesto and talk about why, despite rapid changes in tooling and workflows, the skills that make a great engineer remain largely unchanged. — Timestamps (00:00) Intro (01:50) How Martin got into software engineering  (07:48) Joining Thoughtworks  (10:07) The Thoughtworks Technology Radar (16:45) From Assembly to high-level languages (25:08) Non-determinism  (33:38) Vibe coding (39:22) StackOverflow vs. coding with AI (43:25) Importance of testing with LLMs  (50:45) LLMs for enterprise software (56:38) Why Martin wrote Refactoring  (1:02:15) Why refactoring is so relevant today (1:06:10) Using LLMs with deterministic tools (1:07:36) Patterns of Enterprise Application Architecture (1:18:26) The Agile Manifesto  (1:28:35) How Martin learns about AI  (1:34:58) Advice for junior engineers  (1:37:44) The state of the tech industry today (1:42:40) Rapid fire round — The Pragmatic Engineer deepdives relevant for this episode: • Vibe coding as a software engineer • The AI Engineering stack • AI Engineering in the real world • What changed in 50 years of computing — Production and marketing by ⁠⁠⁠⁠⁠⁠⁠⁠https://penname.co/⁠⁠⁠⁠⁠⁠⁠⁠. For inquiries about sponsoring the podcast, email [email protected].

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Discover how Copilot is reshaping the data science experience in Microsoft Fabric and Power BI. From transforming raw data into actionable insights to generating stunning visualizations and reports, Copilot brings powerful new capabilities to your fingertips. You'll learn how to unlock Copilot in Fabric, explore what it can do, and ensure it's ready to elevate your analytics game. These tips and tricks will help you harness AI to work smarter, faster, and with more impact.

Partners: Choose the best Azure DB for every customer scenario

Microsoft's database portfolio offers a range of options for your customers to achieve any goal. Come to this session to learn about the top use cases for each of our managed database products and how to pitch customers on the value of co-locating databases on Azure with other workloads including AI, analytics, or applications. Whether your customers are migrating and modernizing enterprise applications from on-premise solutions to the cloud or building AI applications, Azure has you covered.

Unifying your data journey: Migrating to Microsoft Fabric

Modernizing and migrating from Azure Synapse Gen 2 and Azure Data Factory can be complex. Microsoft Fabric streamlines this journey with a seamless migration experience. In this session, discover key migration scenarios, best practices, and how Fabric serves as a single destination for data integration, transformation, and analytics - helping you modernize your data estate while reducing complexity and accelerating time to value.

Enterprises are racing to operationalize AI, but connecting agents to live, trusted data remains a major architectural challenge. In this session, Alok Pareek, co-founder and EVP of Product and Engineering at Striim, will explore how Striim MCP Agentlink enables secure, real-time data movement from operational systems to AI agents. Learn patterns for inference, vector embeddings, and predictive analytics built on Microsoft data products with end-to-end encryption, lineage, and PII protection.

Microsoft Fabric: The data platform for the next AI frontier

As AI adoption accelerates, organizations are transforming their data platforms to keep pace. Without a unified, enterprise-ready foundation, even the most ambitious AI strategies can stall. Join Amir Netz, Technical Fellow and CTO of Microsoft Fabric, as he shares the latest data and analytics announcements, developments and demos for Fabric.

SQL Server 2025: The AI-ready enterprise database

SQL Server 2025 redefines what's possible for the enterprise data platform. With developer-first features and seamless integration with analytics and AI models, SQL Server 2025 accelerates AI innovation using the data you already own. Build modern apps with native JSON and REST APIs and harness AI with built-in vector search. Increase application availability with optimized locking and use Fabric mirroring for near real-time analytics. Join us to see why this is the most advanced SQL Server.

The explosive growth of cloud data—and its importance for analytics and AI—demands a new approach to protection and access. Traditional backup tools weren’t built to handle hyperscale workloads, such as Azure Blob Storage and Cosmos DB, resulting in costly silos. Discover how a cloud-native platform delivers hyperscale protection, automates operations, reduces TCO, and turns backups into a live, queryable data lake for analytics in Azure Synapse, Microsoft Fabric, and Azure OpenAI.

Join this hands-on lab to design and deploy a modern, cloud-native analytics and AI solution using Azure Databricks, Microsoft Foundry, and Microsoft Copilot Studio. Work with the Zava-Litware scenario to perform data ingestion, orchestration with Lakeflow, AI-driven insights via Genie, mirrored catalog in Microsoft Fabric, Copilot Studio low-code automation, and advanced reporting in Power BI. Build a scalable, cost-efficient solution showcasing AI-powered analytics for business transformation.

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

In this lab you'll help a coffee shop unify their operational and analytical workloads with Cosmos DB in Microsoft Fabric. You'll blend operational data with curated sources using cross-database SQL, stream and visualize real-time POS events, and create a gold layer for personalization. Finally, you'll implement reverse ETL to Cosmos for lightning-fast serving and train a lightweight Spark notebook model to deliver the right offer at the right time before your customer’s order is ready.

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

Innovation Session: Microsoft Fabric and Azure Databases - the data estate for AI

In today’s AI-driven economy, data isn’t just an asset, it’s your differentiator. Join us for major announcements across Microsoft Fabric, Power BI, Azure SQL, and Azure PostgreSQL, and see how these innovations come together to deliver a unified, intelligent data foundation for AI. Experience customer success stories, live demos, and an inside look at the roadmap shaping the future of analytics, transactional workloads, and real-time insights all in one integrated experience.