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Winners and Losers from Gartner’s Data Science and ML Platform Report

Gartner published its latest Magic Quadrant for data science and machine learning platforms last week. Sixteen vendors made cut for Gartner's report this year, the same number as last year. However, there were some impor Read more…

ParallelM Aims to Close the Gap in ML Operationalization

A startup named ParallelM today unveiled new software aimed at alleviating data scientists from the burden of manually deploying, monitoring, and managing machine learning pipelines in production. Dubbed MLOps, Parall Read more…

MapR Takes Aim at DataOps with Platform 6.0

MapR today unveiled a new release of its converged data platform that's aimed at helping companies use emerging DataOps concepts to go from data science insight to positive business result in a speedy, reliable, and secu Read more…

Q&A with Domino Data Lab’s CEO

The field of data science is fairly young and evolving extremely rapidly. Finding people who can harness the tornado of big data tech is a major challenge. One of the up and coming vendors who are making data science mor Read more…

How ‘Purple Rain’ Bolsters Security Intelligence for Capital One

In the cat-and-mouse game of cyber security, sometimes you win, and sometimes the bad guys get a victory. Thanks to a powerful new security framework dubbed "Purple Rain," the folks at Capital One are setting themselves Read more…

A Platform Approach to Data Science Operationalization

Eduardo Ariño de la Rubia has been building quantitative teams for the past two decades, and knows first-hand how hard it can be to bring data science capabilities into a production setting. He understands there are mul Read more…

Data Science Platforms Seen as Difference-Makers

How will data scientists work in the future? Based on today's trends and a new survey by Forrester, it seems likely that much of the work that data scientists do will revolve around centralized platforms that help to org Read more…

DataRobot Delivers an ML Automation Boost for Evariant

Companies in all industries face an acute shortage of data scientists, those digital alchemists who turn raw data into gold. But for the healthcare software company Evariant, the decision to use DataRobot to automate its Read more…

How Credit Card Companies Are Evolving with Big Data

As overseers of our digitized marketplaces, credit card companies have a bird's eye view of what we buy. If you want to know what American consumers are interested in, there's perhaps no better way that to examine their Read more…

Reporter’s Notebook: 6 Key Takeaways from Strata + Hadoop World

The big data ecosystem was on full display at last week's Strata + Hadoop World conference in San Jose. At the ripe old age of 10, Hadoop is still the driving force, but newer frameworks like Spark and Kafka are gaining Read more…

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