Microsoft, Anaconda Expand Python Partnership
Microsoft and Python data science platform vendor Anaconda have extended their partnership by adding the software giant’s code editor to the latest Anaconda distribution. The addition of Microsoft’s...
View ArticleWinners 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,...
View ArticleBig Data Backlash: A Rights Movement Gains Steam
In the aftermath of the Cambridge Analytica data mining scandal, there’s a growing chorus of AI leaders calling for a data rights movement that would overhaul the ownership structure for digital...
View ArticleAnaconda: Data Science Exiting Hadoop for the Cloud
Data scientists are embracing cloud-native frameworks as they move on from on-premises data infrastructure previously dominated by Hadoop, concludes a survey on the state of data science. The shift is...
View ArticleAnaconda Enterprise Now Supports GPU Clusters
Organizations that need to train machine learning models on massive amounts of data may be interested in the latest release of Anaconda Enterprise, which adds support for training on GPU clusters....
View ArticleDatanami Reveals Winners of 2018 Readers’ and Editors’ Choice Awards
Datanami this week unveiled the winners of the 2018 Reader’s Choice Awards, which honors the companies, products, and projects that rose to the top in the big data community this year. Also unveiled...
View ArticleIs Hadoop Officially Dead?
The merger of Cloudera and Hortonworks was applauded by many people in the big data community, and even Wall Street liked the news initially. But as the confetti from the party clears, some are asking...
View ArticleDremio Fleshes Out Data Platform
Dremio today rolled out a version 3.0 update to its multi-purpose data analytics tool with new features like support for Kubernetes, a built-in data catalog, and support for Teradata, Elasticsearch,...
View ArticleThe ‘Big Bang’ of Data Science and ML Tools
The tools used for data science are rapidly changing at the moment, according to Gartner, which said we’re in the midst of a “big bang” in its latest report on data science and machine learning...
View ArticleRAPIDS Momentum Builds with Analytics, Cloud Backing
Nvidia’s RAPIDS data science libraries picked up additional support this week from a roster of cloud, server and workstation vendors along with professional services giant Accenture. Nvidia also...
View ArticleQuansight Tackles Support Gap in PyData Community
Here’s a worrisome statistic to ponder. Despite the millions of people who rely on data science packages like SciPy, NumPy, and Scikit-learn, fewer than five people in the world are paid to maintain...
View ArticleIt’s Time for MLOps Standards, Cloudera Says
Just as operational standards have been established for data management via DataOps, the industry needs to create open standards for machine learning operations, or MLOps, according to Cloudera, which...
View ArticleAn Open Source Alternative to AWS SageMaker
There’s no shortage of resources and tools for developing machine learning algorithms. But when it comes to putting those algorithms into production for inference, outside of AWS’s popular SageMaker,...
View ArticleEquipping the Enterprise for Deep Learning: What IT Leaders Need to Know
Deep learning is a form of artificial intelligence that utilizes neural networks, which are computing systems inspired by the human brain and nervous system — essentially a multi-layered “mesh”...
View ArticleDatanami People to Watch 2020
As we look forward into 2020, a select group of leaders in Big Data have stepped ahead of the rest. In this fifth annual People to Watch feature, we’re offering our readers a look at some of the best...
View ArticleData Science and ML Platform Market Heats Up
If you’re in the market for data science and machine learning tools, we have great news: The market is absolutely booming in 2020. With a ton of healthy competition, vendors are investing heavily to...
View ArticleAn Enterprise Guide to a Secure Data Science Pipeline
Open source is the backbone driving digital innovation (Gartner, 2019). It’s crucial to many of today’s leading-edge digital fields, including data science and machine learning. No single technology...
View ArticleData Prep Still Dominates Data Scientists’ Time, Survey Finds
Data scientists spend about 45% of their time on data preparation tasks, including loading and cleaning data, according to a survey of data scientists conducted by Anaconda. The company also analyzed...
View ArticleBig Data Career Notes: October 2020 Edition
In this monthly feature, we’ll keep you up-to-date on the latest career developments for individuals in the big data community. Whether it’s a promotion, new company hire, or even an accolade, we’ve...
View ArticleBig Data Career Notes: November 2020 Edition
In this monthly feature, we’ll keep you up-to-date on the latest career developments for individuals in the big data community. Whether it’s a promotion, new company hire, or even an accolade, we’ve...
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