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Content tagged with Software Platforms posted in September 2019
Takeaway from MLOps NYC: Open Source Frameworks Need TLC
Commentary  |  9/30/2019
The growing open source options to manage and develop machine learning applications still require customization and care before enterprises dive in.
Talent Alert: Data Science Help is Coming
Commentary  |  9/27/2019
But will the flood of candidates solve your data problems? Here are a few issues to mull and tips on how to attract/retain data scientists in this hot market.
Q&A: New Relic CEO Lew Cirne on Observability in Development
Commentary  |  9/26/2019
More tools to better understand how apps are interconnected could save time on repairs and chasing security alerts.
Open Source Gains Ground in the Enterprise
News  |  9/26/2019
You may not hear a lot of enterprise executives talking about it, but open source software is becoming a mainstay in big organizations.
Rethink Time and Data in Your Organization
Commentary  |  9/24/2019
Time series is a standard analysis, but advanced machine learning tools introduce statistical techniques for more accurate forecast models.
Cloudera Sets Agenda for Next Era Cloud Data Analytics
News  |  9/13/2019
As the dust clears from HPE's acquisition of MapR in the climax of the Hadoop story, Cloudera sets out the plan for an era of big data platforms in the cloud.
How to Choose the Right Analytics Skills
Commentary  |  9/10/2019
Just because an analyst hits the ground running does not mean that analyst has the ongoing breadth needed to solve every day analytics problems.
Q&A: Denim Group CTO on DevSecOps and Resolving Disconnect
Commentary  |  9/9/2019
Sorting out the conflicting approaches of security and development teams is essential for digital transformation to advance, particularly in regulated sectors.
Does AI Competence Matter?
Commentary  |  9/6/2019
AI and machine learning are becoming more commonplace, but the people using such systems may not be qualified to operate them.
Python Beats R and SAS in Analytics Tool Survey
News  |  9/3/2019
In Burtch Works' annual survey of the preferred tools of advanced analytics, data, machine learning, AI, and other quantitative professionals, Python pulled ahead of the pack.


2020 State of DevOps Report
2020 State of DevOps Report
Download this report today to learn more about the key tools and technologies being utilized, and how organizations deal with the cultural and process changes that DevOps brings. The report also examines the barriers organizations face, as well as the rewards from DevOps including faster application delivery, higher quality products, and quicker recovery from errors in production.
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