In the News
September 07, 2018
Machine Learning in Production Challenges Developers’ Skills
Deploying machine learning models requires an entirely different skill set than developing them, and data scientists and engineering teams...
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August 28, 2018
Transforming The Enterprise With MLOps
ParallelM CTO, Nisha Talagala, discusses how enterprises can start to think about operationalizing machine learning in everyday operations.
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August 24, 2018
How Do ML Algorithms Differ from Traditional Algorithms?
In this ask the expert, ParallelM CTO Nisha Talagala lays out the similarities and differences between traditional software engineering and ...
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August 10, 2018
Lack of Collaboration Within Banks Holds Back ML Initiatives
ParallelM CTO, Nisha Talagala, talks with Bank Innovation about how collaboration is an obstacle to ML implementation.
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July 24, 2018
Cognitive Technology: Machine Learning Platforms
ParallelM CEO, Sivan Metzger, discusses machine learning platforms, their role in the enterprise, and the importance of MLOps.
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July 17, 2018
Putting AI to Work with MLOps
This episode of the Big Data Beard Podcast features ParallelM CEO, Sivan Metzger, and CTO, Nisha Talagala, discussing MLOps.
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July 16, 2018
DZone Research: Issues Affecting AI ROI
ParallelM CTO, Nisha Talagala, provides her insights into the issues affecting the ROI of artificial intelligence.
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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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February 21, 2018
ParallelM First Machine Learning Operationalization Solution
ParallelM, one of the fastest growing new companies in machine learning operationalization, today announced the first software solution for ...
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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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