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Possibilities at the Edge: Putting Intelligence Where your Data is

CIO

But, for businesses that want to stay ahead in the data race, centralizing everything inside massive cloud data centers is becoming limiting. This means making a potentially game-changing shift: away from the cloud towards edge computing.

Data 327
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How AI is helping the NFL improve player safety

CIO

Like many other professional sports leagues, the NFL has been at the leading edge of data-driven transformation for years. Digital Athlete is a platform that leverages AI and machine learning (ML) to predict from plays and body positions which players are at the highest risk of injury.

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Sport analytics leverage AI and ML to improve the game

CIO

Nearly 10 years ago, Bill James, a pioneer in sports analytics methodology, said if there’s one thing he wished more people understood about sabermetrics, pertaining to baseball, it’s that the data is not the point. The point is to use the data like a razor to cut through false convictions to find the truth.

Sport 250
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Data replication holds the key to hybrid cloud effectiveness

CIO

At the heart of every business decision, regardless of industry or sector, is data. A hybrid cloud approach offers a huge swath of benefits for organizations, from a boost in agility and resiliency to eliminating data siloes and optimizing workloads. There’s more to data than just adopting hybrid cloud.

Cloud 227
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How Collecting and Managing the Voice of the Customer Will Strengthen Your Product

What better source of insight into what those are and how they’re changing than your customers themselves? Unfortunately, even the most sophisticated organizations often lack clear strategies and processes for collecting and managing the voice of the customer at scale—or worse, they simply ignore this valuable source of data.

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IT leaders’ AI talent needs hinge on reskilling

CIO

CIOs and HR managers are changing their equations on hiring and training, with a bigger focus on reskilling current employees to make good on the promise of AI technologies. Less than one in five say they are already changing their approach to hiring and training. times faster than for all jobs, according to a recent PwC report.

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How to get started with AI-powered automation

CIO

Sales order management challenges include: Complex and ever-changing supply chain conditions. You must systematize as many workflows as possible while allowing flexibility to handle order size, product types, and changing customer demands. Consider that manual data entry has a generally accepted error rate of 1%.

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