6min chapter

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#144 Intel CTO Steve Orrin on How Governments Can Navigate the Data & AI Revolution

DataFramed

CHAPTER

The Key Success Factors for the Development of Machine Learning Applications in the Public Sector

Sally Kohn: I love that example of the Affordable Care Act because it's always really interesting to see the data implications and the data process behind major political decisions. So maybe based on your experience working with government agencies who are operationalizing machine learning use cases, AI, what are the different key success factors for the development and deployment of these machine learning applications in the public sector?Kohn: Let's look at it from two perspectives. I want to give some examples of where they've been very successful. Number one is when they choose an impactful mission. The most successful ones are where if they do the work and they build something that it means something to the people who aren't

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