ParallelM @ParallelM_AI
#MLOps company that provides a #machinelearning management solution that enables companies to unlock the business value of #AI and #ML in production parallelm.com Sunnyvale, CA Joined July 2017-
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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…
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
Recently, our #CEO @SivanMetzger shared his #predictions for #machinelearning in 2019 with @insideBigData: ow.ly/3Egr50jPk7u
“Above the Trend Line” – Your Industry Rumor Central for 11/26/2018 insidebigdata.com/2018/11/26/tre…
What really is #machinelearning? Do you know? @techreview's @_KarenHao explains: ow.ly/W3Z850jNoIK #AI #artificialintelligence #datascience
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
The age of the citizen data scientist has arrived, by @ClintBoulton - bit.ly/2DKED1h
#ICYMI: We recently introduced new capabilities to our flagship #MLOps solution, MCenter, to further enable #AI and #machinelearning deployments: ow.ly/g3t550jNmAm via @Dataversity #datascience #datascientists #artificialintelligence
We're beginning to see glimpses of #artificialintelligence's benefits, but what is holding it back? @Forbes explores why current management methods of #machinelearning code, data sets and models are creating barriers for broader adoption: ow.ly/crru50jNkW3 #datascience
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
5 companies share their mistakes (and lessons learned) with #MachineLearning via @InfoWorld: ow.ly/OQCS50jKtFO
#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
What do you know about the new practice, #MLOps, that is helping companies successfully deploy and scale #machinelearning across their entire businesses? Learn more here: ow.ly/zuBN50jKlEh #datascience #datascientists #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
How #MachineLearning systems sometimes surprise us: tcrn.ch/2JXiFci via @johnbiggs for @TechCrunch
Learn more about #machinelearning and #deeplearning model #riskmanagement from our latest #whitepaper, "Model Risk Management for Machine Learning with ParallelM MCenter." Download here: ow.ly/uoDw50jKf3n #MLOps #datascience #AI
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