In the News
February 19, 2019
The FinTech Revolution: A Data-Driven Renaissance
Listen to speakers from DataRobot, Elsen, ParallelM and the Bloor Group as they discuss trends in FinTech including ML governance
View More
January 31, 2019
ML Integrity: Four Production Pillars For Trustworthy AI
Learn about the Four Pillars of ML Integrity
View More
December 03, 2018
5 trends that will impact machine learning projects in 2019
5 trends that will impact machine learning projects in 2019
View More
October 29, 2018
“Above the Trend Line” – Your Industry Rumor Central for 10/29/2018
ParallelM was selected by Wisely to help operationalize its machine learning...
View More
October 26, 2018
Wisely Deploys ParalleM’s MCenter to Ease Deployment, Operationalize Machine Learning
Wisely, a provider of AI-powered fundraising solutions for not-for-profits, has selected ParallelM’s MCenter to operationalize its...
View More
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...
View More
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.
View More
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 ...
View More
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.
View More
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.
View More
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.
View More
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.
View More
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...
View More
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.
View More
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....
View More
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.
View More
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...
View More
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.
View More
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.
View More
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...
View More