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Successful organisations are moving beyond just testing and experimenting proofs of concept for AI; Executives have shifted their attention from worrying about whether to adopt AI (availability of technology) to struggling with how to adopt AI (skills, operating model and data).

There is a 33% increase over the past two years in organisations that have moved beyond the pilot phase of their AI investments. Yet for every successful AI project, there are many that fail to reach widespread adoption in the business and achieve their expected outcomes. Even the most expert data science teams will typically only deploy a handful of models into production every year.

Discussion Points:

  1. Is AI adoption a challenge at your organisation too ?
  2. Looking for ways to bridge the Gap between technology team & business users
  3. Should you build-it or get something built-in
  4. Let’s talk going beyond development, to deploying at scale
  5. How are you ensuring regulatory compliance, or has it become an impediment for AI adoption?

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