Remove Data Analytics Remove Data Processing Remove Metrics Remove Uncertainty
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What you need to know about product management for AI

O'Reilly on Data

But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools. Machine learning adds uncertainty. Underneath this uncertainty lies further uncertainty in the development process itself.

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Rebooting expectations to connect and lead in more meaningful ways

CIO Business Intelligence

Johansen spoke to Dan Roberts, host of the Tech Whisperers podcast, during CIO’s recent Future of Work Summit about the art of forecasting, not predicting, and remaining agile through transitions that test the balance of humanity and technology. And they introduced this idea, the VUCA world: Volatile, Uncertainty, Complex, and Ambiguous.

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What’s New and What’s Next in 2023 for HPC

CIO Business Intelligence

Recently members of our community came together for a roundtable discussion, hosted by Dell Technologies, about trends, trials, and all the excitement around what’s next. To create a productive, cost-effective analytics strategy that gets results, you need high performance hardware that’s optimized to work with the software you use.

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Themes and Conferences per Pacoid, Episode 10

Domino Data Lab

She had much to say to leaders of data science teams, coming from perspectives of data engineering at scale. And by “scale” I’m referring to what is arguably the largest, most successful data analytics operation in the cloud of any public firm that isn’t a cloud provider. Worse than flipping a coin! Rev 2 wrap up.

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Ditch Manual Data Entry in Favor of Value-Added Analysis with CXO

Jet Global

Businesses around the globe are struggling to do more with less as budgets tighten, uncertainty looms, and talented workers can be scarce. Companies are generating more data than ever before, and it’s falling on the finance team to make sense of the meaning behind all those numbers.

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