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MLOps and DevOps: Why Data Makes It Different

O'Reilly on Data

It has far-reaching implications as to how such applications should be developed and by whom: ML applications are directly exposed to the constantly changing real world through data, whereas traditional software operates in a simplified, static, abstract world which is directly constructed by the developer. This approach is not novel.

IT 364
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Regeneron turns to IT to accelerate drug discovery

CIO Business Intelligence

The company’s multicloud infrastructure has since expanded to include Microsoft Azure for business applications and Google Cloud Platform to provide its scientists with a greater array of options for experimentation. That’s hard to do when you have 30 years of data.”

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

CIO Business Intelligence

Knowledge assembly in action To better understand why organizations fall short when assembling knowledge, we must first understand how knowledge assembly unfolds, starting with some basic concepts: Data are raw, unorganized facts, such as numbers, text, and images, that lack context and meaning on their own.

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Salesforce takes on hyperscalers with Agentforce 2dx updates

CIO Business Intelligence

But Hinchcliffe believes that Salesforce has an edge over rivals as it is leveraging its deep CRM expertise, its customers sales, service, and marketing data, and business logic integration to drive differentiation.

Testing 87