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Inferencing holds the clues to AI puzzles

CIO

Crunching mathematical calculations, the model then makes predictions based on what it has learned during training. Inferencing crunches millions or even billions of data points, requiring a lot of computational horsepower. The engines use this information to recommend content based on users’ preference history.

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6 strategic imperatives for your next data strategy

CIO

According to the MIT Technology Review Insights Survey, an enterprise data strategy supports vital business objectives including expanding sales, improving operational efficiency, and reducing time to market. The problem is today, just 13% of organizations excel at delivering on their data strategy.

Strategy 290
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Expert tips for hiring (and retaining) data scientists

CIO

With IT leaders increasingly needing data scientists to gain game-changing insights from a growing deluge of data, hiring and retaining those key data personnel is taking on greater importance. But there simply aren’t enough trained — not to mention experienced — data scientists for all the companies looking to harness them.

Data 246
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Expert tips for hiring (and retaining) data scientists

CIO

With IT leaders increasingly needing data scientists to gain game-changing insights from a growing deluge of data, hiring and retaining those key data personnel is taking on greater importance. But there simply aren’t enough trained — not to mention experienced — data scientists for all the companies looking to harness them.

Data 246
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PepsiCo transforms for the digital era

CIO

Tapped to guide the company’s digital journey, as she had for firms such as P&G and Adidas, Kanioura has roughly 1,000 data engineers, software engineers, and data scientists working on a “human-centered model” to transform PepsiCo into a next-generation company. billion in revenue.

Analytics 362
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Data collection and data markets in the age of privacy and machine learning

O'Reilly Media - Data

It’s no secret that companies place a lot of value on data and the data pipelines that produce key features. In the early phases of adopting machine learning (ML), companies focus on making sure they have sufficient amount of labeled (training) data for the applications they want to tackle.

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Gretel AI raises $50M for a platform that lets engineers build and use synthetic data sets to ensure the privacy of their actual data

TechCrunch

Now, a startup that is building tools to make it easier for engineers to implement the two simultaneously is announcing a round of growth funding to continue expanding its operations. “But now we are running into the bottleneck of the data. . “But now we are running into the bottleneck of the data.