Scaling Data Science In AI And Beyond

December 12th, 2022

With contributors:

Srividya Sridharan , Mike Gualtieri , Michele Goetz , Kim Herrington , Karsten Monteverde , Jen Barton

Summary

Experimental AI is a thing of the past, not the basis of a successful AI strategy. Enterprise data science practices that can achieve the speed, scale, and production consistency are critical for producing the complex, iterating AI applications of tomorrow. Matching the probabilistic nature of data science with the more deterministic process of enterprise software development is a challenge for every team and every enterprise, but with emerging best practices, technology leaders can make the right choices for sustainable differentiation.

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