FedML raises $11.5 to combine MLOps tools with a decentralized AI compute network

Interest in AI among the enterprise continues to rise, with one recent survey finding that nearly two-thirds of companies plan to increase or maintain their spending on AI and machine learning into this year. But often, these companies are encountering blockers in deploying various forms of AI into production.
A 2020 poll from Rexer Analytics found that only 11% of AI models are always deployed. Elsewhere, one Gartner analyst estimated that close to 85% of big data projects fail.
Inspired to tackle the challenges, Salman Avestimehr, the inaugural director of the USC-Amazon Center on Trustworth

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