Moneyball: How Data and AI have Revolutionised Analytics in Sports

Data analytics and statistics have not only served as the basis for blockbuster sports dramas but as a key factor in how top teams and athletes in competitive sports dominate the field. Data can assist in making key decisions in real-time, identifying performance gains, tracking an athlete's physical condition, and helping fans engage more with powerful insights.

This session will explore the current level of data analytics in top-level sports such as football, Formula 1, and more, giving you an introductory overview and examples of how tools like Kusto (KQL) and PowerBI can be used to ingest, analyse, and visualise sample sports data in real-time. You'll gain a better understanding of how Microsoft Fabric and Azure's wider data analytics offerings can be leveraged to get the most out of telemetry logs and IoT data for different business use cases.

Join me if you're passionate about data, a sports enthusiast wanting to gain better insights, or even better: both!

Target audience: fans of sports, data, and data in sports.

Build A Fabric Real-time Intelligence Solution in One Day (Deepdive edition)

Real-Time Intelligence in Fabric is designed to enable organisations to bring their streaming, high-granularity, time-sensitive event data into Fabric and build various analytical, visual and action oriented data applications and experiences with it. In this session, you will learn about what Fabric Real-time Intelligence is meant for and will then build an end-to-end solution using streaming data.

This session will get you hands-on with Real-Time Hub, Eventstream, Eventhouse, Data Activator, Real-time Dashboards, Power BI, and Copilot with combination of Microsoft MVPs and Fabric product group members to guide you along the way.

The end-to-end solution we build together will encompass:
• Discovering and cataloging your data streams using Real-Time Hub
• Connecting to streaming data from various sources around the world
• Cleaning, normalizing, preparing data for superior query time experiences
• Leveraging Copilot to discover streaming data
• Low-code/no-code experiences for data exploration
• Developing dashboards

RAGs to Riches: Delivering Enterprise-Scale GenAI Solutions in Azure

Retrieval-Augmented Generation (RAG) enhances the accuracy, reliability and relevancy of AI’s responses by ensuring that your large language model (LLMs) chatbots have access to the most recent and relevant information from enterprise data sources. RAG can be crucial to delivering a generative AI application that is trusted by your users, as well as delivering responses in a fast and cost-effective manner.

In this session, we’ll explore how Azure OpenAI, Azure AI Search (formerly Cognitive Search), and other Azure services can be used to create a comprehensive solution for enterprise-ready RAG applications. You will learn how to leverage the Azure platform to deploy GenAI at scale, using services like Entra ID for identity and access management to ensure secure access to data, and Application Insights to track when things go wrong.

We’ll demonstrate different approaches to building and deploying RAG applications, including how to load-test and evaluate RAG performance through automated testing, as well as data storage options and front-end frameworks to enhance user experience. We will also share real-world use cases and what we have learned from helping businesses understand Azure’s GenAI capabilities and weaknesses, with a shared goal to increase productivity and accurate knowledge management.

Finally, we'll discuss strategies for driving adoption of GenAI. From deployment to user onboarding, you’ll leave with actionable insights to ensure your AI projects have a lasting impact across your organisation. Join us to explore how to effectively use Azure’s GenAI tools and RAG deployment approaches to create robust solutions that are scalable, secure, and user-friendly.

This is a joint session on building well-architected generative AI solutions in Azure, and how to ensure security, scalability and optimal user experience. We will demo different approaches and options when delivering these solutions.