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Reskilling Against the Risk of Automation

Cloudera

billion jobs liable to be radically transformed by technology in the next decade, a “ reskilling revolution ” is reaching a critical mass. And, with 1.1 In the U.S. In the U.S. Prioritizing the Power of Partnership.

Risk 73
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10 most difficult-to-fill IT roles — and how to address the gap

CIO Business Intelligence

The CIO’s biggest hiring challenge is clear: “There is simply not enough talent to go around,” says Scott duFour, global CIO of business payments company Fleetcor, for whom positions in areas such as AI, cloud architecture, and data science remain the toughest to fill. Geographical nuances are also arising. The net result?

IT 98
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Data Science, Past & Future

Domino Data Lab

At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future. Nathan also provided excerpts and insights from recent surveys to help provide additional context.

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Reshoring manufacturing to the US: The role of AI, automation and digital labor

IBM Big Data Hub

AI, automation and digital labor can help tackle these challenges. To address this challenge, companies can use digital labor to supplement the existing workforce by automating repetitive, dangerous or complex tasks. However, reshoring presents several challenges—mainly workforce, technical and economic issues.