CIO Business Intelligence

SEPTEMBER 22, 2022

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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Uncertainty Forecasting Visualization Big Data 111

O'Reilly on Data

MARCH 31, 2020

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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Management Machine Learning Experimentation Metrics 332

CIO Business Intelligence

JANUARY 4, 2023

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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Cost-Benefit Machine Learning Modeling Uncertainty 59

O'Reilly on Data

SEPTEMBER 15, 2021

There was a lot of uncertainty about stability, particularly at smaller companies: Would the company’s business model continue to be effective? Economic uncertainty caused by the pandemic may be responsible for the declines in compensation. Would your job still be there in a year? Salaries by Tool and Platform.

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Domino Data Lab

JUNE 2, 2019

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. Rev 2 wrap up. See you at Rev 3 in 2020!

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Data-driven Data Science Machine Learning Modeling 110

IBM Big Data Hub

APRIL 10, 2023

of combining network data with other sources of data that may yield results but their exact value and monetary of achieved quality improvements has yet to be proved. We refer here to the ideas, internal gut feelings, etc. Insights that cannot be acted upon have far less value than insights that can be acted upon in an automated way.

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Data mining Data-driven Uncertainty Data Processing 62

Sisense

DECEMBER 13, 2021

Luckily, there are intelligent and scalable ways institutions can access and make sense of their data, allowing them to spot trends and extract insights that drive innovation and inspire creative solutions. First and foremost, data can inform financial institutions about customer and member activity. What is business intelligence?

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Data-driven IT Business Intelligence Cost-Benefit 59