mlcommons.org/2023/03/unlocking-ml-requires-an-ecosystem-approach
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Perspective: Unlocking ML requires an ecosystem approach - MLCommons
Considerable innovation is taking place across the ML research-to-production life cycle, it often occurs organically and in silos, resulting in uneven impact and a low transfer of innovation across industry verticals. A handful of technology companies are experiencing benefits from deploying cutting-edge ML at scale, while others are still learning to operationalize it. MLCommons is leading an ecosystem approach.
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Perspective: Unlocking ML requires an ecosystem approach - MLCommons
Considerable innovation is taking place across the ML research-to-production life cycle, it often occurs organically and in silos, resulting in uneven impact and a low transfer of innovation across industry verticals. A handful of technology companies are experiencing benefits from deploying cutting-edge ML at scale, while others are still learning to operationalize it. MLCommons is leading an ecosystem approach.
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https://mlcommons.org/2023/03/unlocking-ml-requires-an-ecosystem-approachPerspective: Unlocking ML requires an ecosystem approach - MLCommons
Considerable innovation is taking place across the ML research-to-production life cycle, it often occurs organically and in silos, resulting in uneven impact and a low transfer of innovation across industry verticals. A handful of technology companies are experiencing benefits from deploying cutting-edge ML at scale, while others are still learning to operationalize it. MLCommons is leading an ecosystem approach.
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9- titlePerspective: Unlocking ML requires an ecosystem approach - MLCommons
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- descriptionConsiderable innovation is taking place across the ML research-to-production life cycle, it often occurs organically and in silos, resulting in uneven impact and a low transfer of innovation across industry verticals. A handful of technology companies are experiencing benefits from deploying cutting-edge ML at scale, while others are still learning to operationalize it. MLCommons is leading an ecosystem approach.
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- og:titlePerspective: Unlocking ML requires an ecosystem approach - MLCommons
- og:descriptionConsiderable innovation is taking place across the ML research-to-production life cycle, it often occurs organically and in silos, resulting in uneven impact and a low transfer of innovation across industry verticals. A handful of technology companies are experiencing benefits from deploying cutting-edge ML at scale, while others are still learning to operationalize it. MLCommons is leading an ecosystem approach.
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120- https://aiindex.stanford.edu/wp-content/uploads/2022/03/2022-AI-Index-Report_Master.pdf
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