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3 Takeaways from Gartner’s 2018 Data and Analytics Summit

DataRobot Blog

Today’s data management and analytics products have infused artificial intelligence (AI) and machine learning (ML) algorithms into their core capabilities. These modern tools will auto-profile the data, detect joins and overlaps, and offer recommendations. 2) Line of business is taking a more active role in data projects.

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10 Keys to AI Success in 2021

DataRobot Blog

The same report estimates that in 2018 alone, AI contributed $2 trillion to the global GDP. While it has been fun for data scientists to test what machine learning can do, companies that invest huge resources into their AI solutions want to see results. “AI could contribute up to $15.7 Build or Buy an AI Solution?

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Closing the Data Science Skills Gap at Your Organization

Dataversity

Click to learn more about author Itamar Ben Hamo. Data scientists are some of the most in-demand professionals on the market. A LinkedIn Workforce Report in 2018 found 151,000 unfilled data scientist jobs across the United States, with “acute” shortages in San Francisco, Los Angeles, and New York City.