In the News
July 10, 2018
MLOps Health: Taking the Pulse of ML in Production
ML pipelines are code, and as such are subject to similar issues as other production software (bugs, etc.) However, the unique nature of...
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June 25, 2018
DZone Research: How AI Is Changing
Organizations are beginning to see real business value from their data and they are able to do so because GPUs have become affordable.
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June 21, 2018
DZone Research: How Organizations Benefit From AI
Using automation to improve the efficiency of the operations and empowering employees to focus on more meaningful and less repetitive tasks....
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June 13, 2018
DZone Research: Keys to AI Success
AI and ML experts, including ParallelM’s Sivan Metzger and Nisha Talagala, discuss the keys to successful AI strategy.
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June 01, 2018
Is Machine Learning Everywhere? Not Quite, But It Could Be
Successfully deploying ML across an enterprise is not an easy feat. All areas of the organization must learn how to work together and...
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April 30, 2018
Operational Machine Learning: Seven Considerations for MLOps
Seven key areas to take into account for successful operationalization and lifecycle management (MLOps) of your ML initiatives.
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March 22, 2018
ParallelM Brings Machine Learning Application to Enterprise IT
With its machine learning application MLOps, ParallelM says it is helping enterprises to automate ML deployments.
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March 07, 2018
22 Startups to Watch in ’18
Startups with a mission to address an unanswered problem continue to emerge in the tech sector. These companies tap into new and still...
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February 21, 2018
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,...
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January 30, 2018
Why MLOps (and not just ML) is your Business’ New Competitive Frontier
From advertising to IoT to healthcare and beyond, virtually all industries are adopting or investigating machine learning (ML) to benefit...
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