Remove 2030 Remove Data Drift Remove Data Quality
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Snorkel AI Teams with Google Cloud and Vertex AI to speedĀ AI deployment

Snorkel AI

Within the financial services sector, for example, McKinsey estimates that AI has the potential to generate an additional $1 trillion in annual value while Autonomous Research predicts that by 2030 AI will allow operational costs to be cut by 22%. Snorkel AI solves this bottleneck with Snorkel Flow, the data-centric AI platform.

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Snorkel AI Teams with Google Cloud and Vertex AI to speedĀ AI deployment

Snorkel AI

Within the financial services sector, for example, McKinsey estimates that AI has the potential to generate an additional $1 trillion in annual value while Autonomous Research predicts that by 2030 AI will allow operational costs to be cut by 22%. Snorkel AI solves this bottleneck with Snorkel Flow, the data-centric AI platform.

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How MLCommons is democratizing data with public datasets

Snorkel AI

Those pillars are 1) benchmarksā€”ways of measuring everything from speed to accuracy, to data quality, to efficiency, 2) best practicesā€”standard processes and means of inter-operating various tools, and most importantly to this discussion, 3) data. In order to do this, we need to get better at measuring data quality.

article thumbnail

How MLCommons is democratizing data with public datasets

Snorkel AI

Those pillars are 1) benchmarksā€”ways of measuring everything from speed to accuracy, to data quality, to efficiency, 2) best practicesā€”standard processes and means of inter-operating various tools, and most importantly to this discussion, 3) data. In order to do this, we need to get better at measuring data quality.