Driving Fan Engagement
for Live Sports with
Multimodal and Agentic AI
Thursday, November 13th
1PM EST | 10AM PST
Driving Fan Engagement
In the fierce competition for audience attention amidst a fragmented media landscape, live sports are the last exceptional form of appointment viewing
How do you turn tentpole moments (Super Bowl, World Cup, Olympics) into sustained engagement before, during, and after the whistle?
Join AWS , Twelve Labs, and Wizeline for a strategic session on how Generative, Multi-modal and Agentic AI are reshaping live sports, broadcast production, media operations, and fan engagement. We’ll delve into how sports organizations are leveraging AI with cloud-native production workflows today, what the latest trends are, and where industry leaders see the future of AI in live sports in the next 12-18 months
What you’ll learn
- Meet fans where they are: How AI + cloud native production helps editors automatically assemble highlight reels, reformat short form, vertical videos, and publish across social media in minutes, not hours.
- Deepen the connection: Leverage multimodal/agentic AI to generate hyper-personalized clips, stories, and interactive moments tuned to each fan’s preferences.
- Scale for growth & revenue: Do more with less, and develop business cases to adopt AI in sustainable media workflows that reduce operational overhead, support global events, and open new monetization paths.
- Evolve your stack with confidence: Navigate the AI vendor landscape with agility and adopt “Build With” accelerators to ship production-grade solutions quickly.
Who should attend
Media & Sports executives, innovation/product/engineering leaders, media engineering and services, broadcast operations, content production and operations, and data/AI teams responsible for audience growth, content distribution, and live production.
Speakers
Jason Dvorkin (AWS)
Head of Industry Business Development, Americas, for Media & Entertainment, Games, and Sports at AWS. With 20+ years in broadcast, media supply chain, DTC, monetization, and analytics, Jason began producing live events for the New England Patriots/Revolution, then built solutions at startups in MAM, orchestration, ML, and AI.
James Roe (Wizeline)
Principal Consultant & Solutions Architect with 15+ years across M&E, Finance, and Manufacturing. At Wizeline, he designs end-to-end media workflows; OTT/FAST, ad-tech optimization, and GenAI adoption. Previously led large cloud migrations at Ollion for Coca-Cola and Paramount, boosted ad performance at E.W. Scripps, advanced AI graphics at Tagboard, and earlier integrated IT across Hearst business units.
Gino Bautista (Wizeline)
Gino is Wizeline’s Global Director of AI & Industry Solutions, driving AI use cases with tangible ROI across broadcast, content production, media supply chain, streaming, and monetization. With 20+ years in M&E/Finance/Tech including early live cloud productions in sports while at AWS and product roles at Disney and Sony Pictures, he’s a certified GenAI practitioner, AI LA member, and FBRC.ai collaborator.
Jordan Alexander (AWS)
Jordan is a Partner Solutions Architect at Amazon Web Services (AWS) based out of Atlanta. Currently focused on video intelligence and multimodal generative AI models, he has supported customers and partners in Telecommunications, Media and Entertainment, Gaming, and Sports industry across the past 4 years at AWS.
Ryan Khurana
Ryan is Product Lead for Agentic Applications at TwelveLabs. Previously he helped launch WOMBO, one of the pioneers of generative image and video apps with cumulative 250M+ downloads. He then led AI at MLSE, the parent company of the Toronto Maple Leafs and Toronto Raptors, where he designed an industry-first approach to using AI to dynamically generate sports highlights from historic footage.
Register now
Register now
Jason Dvorkin (AWS)
Head of Industry Business Development, Americas, for Media & Entertainment, Games, and Sports at AWS. With 20+ years in broadcast, media supply chain, DTC, monetization, and analytics, Jason began producing live events for the New England Patriots/Revolution, then built solutions at startups in MAM, orchestration, ML, and AI.
James Roe (Wizeline)
Principal Consultant & Solutions Architect with 15+ years across M&E, Finance, and Manufacturing. At Wizeline, he designs end-to-end media workflows; OTT/FAST, ad-tech optimization, and GenAI adoption. Previously led large cloud migrations at Ollion for Coca-Cola and Paramount, boosted ad performance at E.W. Scripps, advanced AI graphics at Tagboard, and earlier integrated IT across Hearst business units.
Gino Bautista (Wizeline)
Gino is Wizeline’s Global Director of AI & Industry Solutions, driving AI use cases with tangible ROI across broadcast, content production, media supply chain, streaming, and monetization. With 20+ years in M&E/Finance/Tech including early live cloud productions in sports while at AWS and product roles at Disney and Sony Pictures, he’s a certified GenAI practitioner, AI LA member, and FBRC.ai collaborator.
Jordan Alexander (AWS)
Jordan is a Partner Solutions Architect at Amazon Web Services (AWS) based out of Atlanta. Currently focused on video intelligence and multimodal generative AI models, he has supported customers and partners in Telecommunications, Media and Entertainment, Gaming, and Sports industry across the past 4 years at AWS.
Ryan Khurana
Ryan is Product Lead for Agentic Applications at TwelveLabs. Previously he helped launch WOMBO, one of the pioneers of generative image and video apps with cumulative 250M+ downloads. He then led AI at MLSE, the parent company of the Toronto Maple Leafs and Toronto Raptors, where he designed an industry-first approach to using AI to dynamically generate sports highlights from historic footage.
About Wizeline
Wizeline, a global AI-native technology solutions provider, specializes in developing cutting-edge digital products and platforms that leverage the power of artificial intelligence. In collaboration with our customers, we revolutionize businesses by harnessing data and AI to accelerate time to market and drive transformative outcomes. Our agile and adaptive teams bring a unique blend of AI expertise, advanced methodologies, and innovative solutions to deliver exceptional results while fostering a culture of continuous learning and innovation alongside our customers’ teams.
