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.

Management 339

Management Machine Learning Experimentation Metrics 339

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.

Cost-Benefit 59

Cost-Benefit Machine Learning Modeling Uncertainty 59

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?

Data-driven 59

Data-driven IT Business Intelligence Cost-Benefit 59

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!

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110