AI & RoboticsNews

Stanford and NYU: Only 15% of AI federal agencies use is highly sophisticated

More than 40% of U.S. federal agencies and departments have experimented with AI tools, but only 15% currently use highly sophisticated AI, according to analysis by Stanford University computer scientists published today in “Government by Algorithm,” a joint report from Stanford and New York University. “This is concerning because agencies will find it harder to realize gains in accuracy and…
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AI & RoboticsNews

SentinelOne raises $200 million for its AI security platform at a $1 billion valuation

SentinelOne has raised $200 million in a venture capital round that pushes its valuation past $1 billion as investors continue to bet big on artificial intelligence to bolster cybersecurity. The Mountain View-based startup has developed a platform that automates endpoint security using an AI engine. Its service focuses on detecting threats and responding to them by continually studying and…
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AI & RoboticsNews

Microsoft’s new Dynamics 365 services apply AI to finance and project operations

Dynamics 365, Microsoft’s line of enterprise resource planning and customer relationship management apps, is gaining enhancements intended to aid enterprises in “transforming” their operations. A Dynamics Customer 365 Insights update will bring connectors designed to enrich customer profiles and enable insights with Azure Synapse Analytics, Microsoft’s cloud analytics service. Both…
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AI & RoboticsNews

Join the innovators in enterprise AI at Transform 2020

The AI event of the year for business leaders, Transform 2020 doubles down on results-driven content that helps executives at the senior director level and above maintain their competitive edge. Expect two days of the most transformative trends in conversational AI, computer…
AI & RoboticsNews

Podcast: Amazon’s ML Solutions Lab head on the biggest AI mistakes businesses make

Building artificial intelligence into your products, services, and processes can make you smarter, faster, and better able to compete. But building smart systems using machine learning is not like buying an accounting package or an enterprise resource planning system. That’s why executives need as much training as engineers when adopting AI, said Larry Pizette, the head of Amazon’s Machine…
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