Watch this New On-Demand Webinar on ML Deployment with Kubernetes parallelm.com/realtime-deplo… #MachineLearning #Docker #Kubernetes #MLOps

If you are curious about the pitfalls you will face when deploying ML in production, this on demand webinar has the issues and answers you will need. parallelm.com/seven-deadly-s… #ML #AI #MachineLearning

ParallelM Announces Advanced Model Management and ML Health Monitoring for H2O Models dbta.com/Editorial/News-Flas…

Deploying H2O MOJOs with MCenter at H2O World SF parallelm.com/parallelm-prin…

ParallelM Announces Free Version and New Editions for Data Scientists and Data Science Teams #technology #machinelearning #scientists #announcements #DataScience parallelm.com/parallelm-anno…

Don't miss our #CEO @SivanMetzger as he discuss the 7 pitfalls facing #business & #technology #leaders attempting to deploy #machinelearning in production (and how to avoid them) during @Business_AI's #AISummit #NewYork on 12/6 at 9:30am: ow.ly/wYDH50jPhC8

Want to learn how our flagship #platform, MCenter, helps #businesses deploy & optimize #machineLearning at scale? Stop by our booth #704 during the @Business_AI #AISummit #NewYork next week. Learn more: ow.ly/4IaF50jOAb4

Why do roughly 80% of #machinelearning projects fail to make it into production? B/c of the "7 Deadly Sins." Hear how to avoid them during our CEO @SivanMetzger's session at 9:30am ET on 12/6 at @Business_AI's #AISummit #NewYork: ow.ly/RZn950jNkR8 #AI

#Datascientists, want to bring your #machinelearning & #deeplearning #algorithms to life? Our #CTO @ntalagala shares how in a recent #webinar. Watch it here: ow.ly/SG7B50jKtA0 #datascience #AI

Our #CEO, @SivanMetzger, will be speaking on the finance stage at @Business_AI's #AISummit #NewYork on 12/6. Starting at 9:30am ET, he'll be discussing “The 7 Deadly Sins of #MachineLearning Deployment." ow.ly/2y6T50jJA8X