8 themes, 2 tracks, 1 objective.

From data foundations, governance and agentic workflows to personalised fan journeys, content automation, infrastructure and measurable ROI, this is the only event with dedicated content themes for both the architecture behind successful tech strategies and the tech applications creating value.

The building blocks of sports tech transformation
AI Data Architecture

Learn why AI outcomes are only as good as the data behind them

  • Building clean, AI-ready data lakes, CDPs and foundations
  • Unifying fan data to make smarter business decisions
  • Overcoming data sprawl to scale faster in the future
AI Governance, Risk & Compliance

Establish guardrails that protect your data without stalling innovation

  • Governance designed for safety and speed
  • Onboard tools the right way
  • Stay ahead of evolving global regulations
Hyper-personalisation

One-size-fits-all is dead. Connect with every type of fan, at scale

  • The next frontier of personalised marketing
  • Co-creation and GenAI engagement
  • Personalised digital viewing experiences
  • Dynamic pricing
Agentic AI

Move beyond basic AI pilots to agentic workflows that drive efficiency and business value

  • Align AI agents with business goals
  • Move from pilots to enterprise-wide agentic adoption
  • Orchestrate agents with human in the loop authority
Content, Broadcast, Production & Localisation

Leverage tech to enhance how your content is produced, distributed and consumed

  • Intelligent workflows where cameras, data, and control systems work together
  • The future of human and AI collaboration in broadcasting
  • Prepare for agentic AI with structured, repeatable workflows
Digital transformation & Infrastructure

Migrate from disconnected legacy systems to modernised infrastructure built for speed and scalability

  • Audit fan journeys, data and existing systems for the right transformation
  • Cloud-native infrastructure that scales securely at speed
  • Connect data, intelligence and AI to drive value for fans and partners
AI Adoption, Culture & Enablement

Discover why most AI adoption bottlenecks come from humans, not technology

  • Navigate knowledge silos, API costs and the speed of AI
  • Build AI-native teams through trust and excitement
  • Measure adoption success, from usage KPIS to revenue impact
Build yourself or buy from a shelf

Know what to own, what to partner on, and how to scale with confidence

  • Evaluate tech infrastructure decisions
  • Identifying which capabilities must stay in-house
  • Implement strategies that adapt to AI acceleration