Enterprise AI

For the last 4–5 years, we have been working hard towards implementing various AI/ML use-cases at our enterprises. We have been focusing on building the most performant models, and now that we have a few of them in production; it is time to move beyond model precision/recall rates to a more holistic Enterprise AI Governance framework that ensures that our AI adoption is in line with our organizational principles and policies.

By ‘enterprises’ in this article, I am NOT referring to Google, Facebook, or similar digitally native organisations. Rather, this article is focused on the many banks, telecoms, pharmas, FMCGs, etc. who have now realized the value of AI advancements; and are now racing towards adopting them in a very agile fashion.

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