Gen AI meets Sports to delight FansAI is more than just the next big thing — it’s a pivotal force reshaping the media and entertainment landscape. But how does this translate in reality? This case study will provide a deep dive into AI’s real world applications that are optimising operations and unlocking new business opportunities. Huma Lodhi, Principal Machine Learning Engineer, Sky

Gen AI in Paris 2024 Olympics: New analytics to reach new audiencesWith tens of billions of data points collected across the Olympic Games in real-time, the opportunity to apply AI is huge. So, what was possible in Paris this summer? Within the digital operations of the Olympics our challenge is to tell a very high number of global and local stories to audiences at speed. We will run through learnings, trade-offs, and the challenges in delivering practical benefits from current generation AI at speed and massive scale. Chris Jackson, Global Head of Digital Data and Analytics, Olympic Channel

Building a solid data foundation to enable AIData is the life blood of AI but how can you be sure your AI is getting the data it needs. This case study will examine how to build the foundations required. Hardeep Dhaliwal, Head of Data Capability, ITV

Insights and OutcomesWe bring together our experts to answer the key questions facing broadcasters. Just what can we learn from real life case studies and how can we apply them to wider scenarios? Moderator: Tom Bowers, Founder, Hypothesis Media

Moderator

Tom Bowers, Founder - Hypothesis Media

Speakers

Christopher Jackson, Global Head of Digital Data and Analytics - Olympic Channel

Hardeep Dhaliwal, Head of Data Products - ITV

Huma Lodhi, Principal Machine Learning Engineer - Sky

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