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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March 05, 2018
ParallelM to Showcase MLOps™ Machine Learning Operationalization Solution at Strata Data...
First Software Solution for Automating the Production-ML Lifecycle of Deployment, Model-Management and Governance
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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 Launches First Machine Learning Operationalization Solution to Deploy, Manage, and Scale...
MLOps™ Accelerates and Streamlines Delivery of Machine Learning Across the Enterprise to Maximize the Business Value of AI
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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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January 22, 2018
How MLOps Helps Automate ML Deployment Lifecycles
ParallelM’s MLOps software allows an organization to construct production ML workflows that manage end-to-end deployment cycles
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November 28, 2017
Model Governance: What is it and why is it needed in production ML?
Model governance capability is essential for auditing, report generation, business decision analysis and fault analysis
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November 16, 2017
Why your ML should be deployed as a Micro-service
Machine Learning (and Deep Learning) are popping up everywhere.
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November 03, 2017
What Tesla’s Autopilot Teaches Us about DevOps for High Performance AI-Powered Applications
Tesla’s semi-autonomous Autopilot system has drawn a lot of attention in the automotive industry.
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September 30, 2017
Showcasing Edge/Cloud Machine Learning Management at MEC 2017
As part of the demo we show the improvements in prediction accuracy as both Cloud and Edge collaborate to achieve the best levels of...
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