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AI implementation has become an existential imperative. AI is expected to create $13 trillion of GDP growth by 2030 across industries such as manufacturing, agriculture, energy, and pharma. Those companies that are agile and effective in using data will take market share, build moats and/or reduce costs.

You don’t get there by starting a big company-altering digital transformation, you get there by knocking out some early, lower risk, projects. This approach lets you build know-how and competence, allows thoughtful assessment your organization’s internal capabilities, and set the stage for identification of future projects (with, likely, larger paybacks).

The challenge of getting…


Dan Watkins

CEO@Mercury Data Sci. and Partner@Mercury Fund

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