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When is data too clean to be useful for enterprise AI?

CIO

For many organizations, preparing their data for AI is the first time they’ve looked at data in a cross-cutting way that shows the discrepancies between systems, says Eren Yahav, co-founder and CTO of AI coding assistant Tabnine. But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects.

Data 211
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CIOs are rethinking how they use public cloud services. Here’s why.

CIO

Increasingly, however, CIOs are reviewing and rationalizing those investments. Cloud spending is going up and budgets are tightening, so theyre asking whats going on and how do we right this ship. As VP of cloud capabilities at software company Endava, Radu Vunvulea consults with many CIOs in large enterprises.

Cloud 209
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Valence raises $25M to track team performance with continuous reviews

TechCrunch

And in doing so, it will transform how people work together, learn, and grow at work,” Mitchell told TechCrunch in an email interview. Using Valence, teams and managers can set a shared plan and revisit that plan every couple of months to see how they’re progressing, and identify new issues as they emerge.

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How to kick-start your generative AI strategy

CIO

How do you lose the AI race? Let AI take the first crack at it, edit it, fill in the blanks, and then let the human worker review it,” he says. This type of AI assistant can be delivered through a pre-built, off-the-shelf AI solution. By not entering. McAfee counters that such risks are manageable.

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How to run a custom version of Spark on hosted Kubernetes

O'Reilly Media - Data

Does running alpha-quality software sound like fun? We will help you deploy code that hasn't even been reviewed yet (if that is the adventure you seek). If there is an off-the-shelf version of Spark you want to run, you can go ahead and download it. Does setting up a test cluster sound like work?

Azure 181
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How to build a successful agile development culture – and why your business needs one

CIO

To keep pace with the growing complexity of software development, organizations have spent years working to implement agile practices into their developer experience. What causes agile failure Most agile practices fail due to a rising number of misconceptions and misunderstandings of what agile is and how to apply it.

Agile 148
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Deep tech startups in need of funding should consider federal grants

TechCrunch

Xipeng Shen is a professor at North Carolina State University and ACM Distinguished Member, focusing on system software and machine learning research. Even if you aren’t selected, the feedback you receive from the review committee is invaluable. CoCoPIE’s vision is to enable real-time AI for off-the-shelf mobile devices.