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MLOps and DevOps: Why Data Makes It Different

O'Reilly on Data

As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. Why: Data Makes It Different. Not only is data larger, but models—deep learning models in particular—are much larger than before.

IT 364
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Regeneron turns to IT to accelerate drug discovery

CIO Business Intelligence

Rigid requirements to ensure the accuracy of data and veracity of scientific formulas as well as machine learning algorithms and data tools are common in modern laboratories. When Bob McCowan was promoted to CIO at Regeneron Pharmaceuticals in 2018, he had previously run the data center infrastructure for the $81.5

Data Lake 124
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Assembly required: 8 myths about knowledge management debunked

CIO Business Intelligence

Data was plentiful yet deriving meaning through open dialogue remained elusive. Nevertheless, the ongoing challenge of adapting to the strategies of terrorists and rogue states persists, especially as the volume of data flooding military intelligence capabilities has surged.

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Your data’s wasted without predictive AI. Here’s how to fix that

CIO Business Intelligence

These are your standard reports and dashboard visualizations of historical data showing sales last quarter, NPS trends, operational thoughts or marketing campaign performance. This is where we blend optimization engines, business rules, AI and contextual data to recommend or automate the best possible action.