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AI In Production: How AI Projects are Currently Being Approved, Designed and Implemented
Somewhere between the demo and deployment, AI gets less glamorous and more practical. The work becomes permissions, model owners, audit trails, fallback plans, user training, integration headaches and the uncomfortable question of who is accountable when the system gets it wrong. We're bringing together the leaders that make AI projects happen, from product, the engineering all the way to compliance and cyber concerns.
