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Achieving Trusted AI in Manufacturing

Cloudera

The universal industrial data challenge Data — as the foundation of trusted AI — can lead the way to transform business processes and help manufacturers innovate, define new business models, and establish new revenue streams. Advanced technologies are only part of the digital transformation story.

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National Grid’s energy transformation is fueled by IT

CIO Business Intelligence

As global CIO, Karaboutis is the chief architect of the $20 billion British multinational’s digital transformation in the UK as well as in New York and New England. Modernizing a utility’s data architecture. We’re very mature in our data architecture and what we want. It’s gone up 30% to 40%,” she says. “I

IT 105
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Surviving Radical Disruption with Data Intelligence

erwin

And this time sensitivity is a massive issue, as taking a proactive and data-driven approach can literally mean life or death to your business or to your customers. And that’s where data analytics can play a huge role. The result is an automated, real-time, high-quality data pipeline from which accurate insights can be derived.

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Industry X.0 – Made Real, Practical Insights Today enabling Profits Tomorrow

Cloudera

Manufacturing’s digital transformation growth is truly impressive considering it’s delivering value with explosive growth rates. But then conflicting information arrives as VentureBeat reports that around 90 percent of machine learning models never make it into production? Lack of Clear ROI . Dr. Irene J.

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Sharpening Cloudera’s Cloud Focus in Asia Pacific and Japan

Cloudera

Cloudera recently appointed a Cloud Director for Asia Pacific (APAC), Stevie Walsh, to help drive our hybrid and multi-cloud offerings in the region, supporting our customers in accelerating their digital transformation journey. What drew you to work in the cloud space? This is where Cloudera comes in.

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Meet the newest Data Superheros: The Sixth Annual Data Impact Awards Finalists Are…

Cloudera

From AI models that power retail customer decision engines to utility meter analysis that disables underperforming gas turbines, these finalists demonstrate how machine learning and analytics have become mission-critical to organizations around the world. Organizations have doubled their commitments to digital transformations.