June 20, 2019
DataRobot and ParallelM – The Future of MLOps is Here
DataRobot Acquires ParallelM - Learn More
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February 26, 2019
ParallelM Solves Real-World Machine-Learning Deployment Challenge with Kubernetes Autoscaling REST...
Low-latency model serving at scale helps data scientists deliver models into production
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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
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February 05, 2019
ParallelM Provides Advanced Model Management and ML Health Monitoring for H2O Models
ParallelM now supports easy deployment and advanced monitoring of H2O MOJO and POJO models with built-in connector,
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February 04, 2019
ParallelM Principal Engineer Lior Amar to Present at H2O.ai San Francisco
ParallelM to Present at H2O.ai Event on the Deployment of H2O MOJO Models with ParallelM MCenter
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February 01, 2019
Notes from an ML Ninja - Six Best Practices for Moving Python Code from Development to Production
Six Best Practices for Moving Python Code from Experimentation to Production
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January 31, 2019
ML Integrity: Four Production Pillars For Trustworthy AI
Learn about the Four Pillars of ML Integrity
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January 23, 2019
ParallelM CTO Nisha Talagala to Lead a Workshop and Present about Machine Learning Production at...
Workshop and Session to Discuss Production issues including Deploying Deep Learning Models and Using REST and Microservices in Model...
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January 21, 2019
ParallelM Announces Free and New Versions of MCenter Targeted to Data Scientists and Data Science...
New Editions of ParallelM MCenter Support the Needs of Data Scientists and Data Science Teams
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December 21, 2018
A Design Pattern for Explainability and Reproducibility in Production ML
How to design ML applications for Interpretability and reproducibility in production
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December 17, 2018
ParallelM to Speak on Explainability in Production ML at IEEE ICMLA Orlando 2018
Lead Architect, Swami Sundararaman to Discuss Interpretability and Reproducibility in Production Machine Learning Applications
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December 08, 2018
Cloudera and ParallelM Partner to Accelerate the Industrialization of AI
Cloudera and ParallelM Partner to Accelerate the Industrialization of AI
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December 03, 2018
5 trends that will impact machine learning projects in 2019
5 trends that will impact machine learning projects in 2019
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November 16, 2018
ParallelM to Speak on the “7 Deadly Sins of Machine Learning Deployment” at AI Summit New York...
Company’s CEO, Sivan Metzger, will offer insights to business and technology leaders deploying ML applications in production
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November 13, 2018
ParallelM Enables the Next Generation of AI Deployments with New Capabilities
Supports a Wide Variety of Data Science Platforms, New ML Health Techniques, and Capabilities for AI-First Tech Providers
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November 08, 2018
ParallelM Appoints Industry Veteran Dan Darnell as Vice President of Marketing
Brings nearly 20 years of experience to continue to drive market leadership and growth as the need for MLOps increases
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November 05, 2018
ParallelM to Host Webinar on How to Take Machine Learning and Deep Learning Programs Into...
Company’s CTO, Nisha Talagala, will offer insights to data scientists faced with deploying and managing ML and DL models in business...
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November 02, 2018
Google’s AdaNet (Auto-ML for Deep Neural Networks) Meets MLOps
As more and more industries move to Machine Learning and Deep Learning, a lot has been written about the shortage of data scientists...
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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...
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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...
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