MIT Technology Review June 12, 2023
MIT Technology Review Insights

By focusing on data, value propositions, and talent, enterprises can get ready to take the next step beyond experimentation.

In association with JPMorgan Chase & Co.

After decades of research and development, mostly confined to academia and projects in large organizations, artificial intelligence (AI) and machine learning (ML) are advancing into every corner of the modern enterprise, from chatbots to tractors, and financial markets to medical research. But companies are struggling to move from individual use cases to organization-wide adoption for several reasons, including inadequate or inappropriate data, talent gaps, unclear value propositions, and concerns about risk and responsibility.

This MIT Technology Review Insights report, commissioned by and produced in association with with JPMorgan...

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