Running AI in Production: Context, Workflow, Cost and Control

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Running AI in Production: Context, Workflow, Cost and Control

Chaired by Patrick Kelly, four sessions at Innovate Americas focused on one question: how do operators run AI in production and keep it trusted, governed and affordable?

Trusted context makes agents reliable. Workflow redesign makes AI operational. Token economics makes it affordable. Runtime governance keeps it safe. Operators who treat cost and control as first-class design questions, not afterthoughts, will scale AI faster.

Perspectives on token optimization, guardrails, governance and more from:

  • Nevash Pillay, Head of Global Telecom Industry, Databricks;
  • Idilio Moncivais, Head of Financial Intelligence and Data Architecture
  • Lumen Christian Livia, CTO, Interbank
  • Mark Austin, VP, Data Science, AT&T
  • Singh Sardar, Director of AI, EchoStar
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