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The evolution of AI models, data and infrastructure

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This episode will be available to stream at 1pm ET.

As companies move AI from pilots into real-world deployment, one-size-fits-all approaches are giving way to more specialised models and systems. Different workloads and operational environments have different requirements, from real-time inference and multimodal AI to reasoning models and autonomous agents. This episode will explore how AI models, data and infrastructure are evolving together to support production use cases at scale, and what the shift towards increasingly autonomous AI means for enterprise and frontline operations. This episode will discuss:

  • Moving specialised AI from pilots to production at scale
  • Deploying AI across enterprise and frontline operations
  • The rise of reasoning models, multimodal AI and autonomous agents
  • Building the infrastructure needed for next-generation AI systems