yaron havivinTowards Data ScienceMLOps Beyond Training: Simplifying & Automating the Operational Pipeline‘MLOps’ meaning keeps evolving, when done right it can have huge impact on the delivery of AI products, see how in this postDec 15, 20211Dec 15, 20211
yaron havivinTowards Data Science6 Tips for MLOps Acceleration & SimplificationMLOps is key for improving business productivity by getting AI/ML to production. here are 6 tips for accelerating your path to productionMay 18, 2021May 18, 2021
yaron havivinTowards Data ScienceKubeflow: Simplified, Extended and OperationalizedDelivering ML models to production is hard, Kubeflow is the leading MLOps solution, but has gaps and challenges, this is how we solved…Nov 12, 2020Nov 12, 2020
yaron havivinTowards Data ScienceHow To Productize ML Faster With MLOps AutomationIn our survey the #1 data science challenge raised was “bringing machine learning to production”, this post will show how it can be solved.Jun 30, 20201Jun 30, 20201
yaron havivinTowards Data ScienceGPU-as-a-Service on KubeFlow: Fast, Scalable and Efficient MLLearn how to run ML/DL tasks faster, on more data, with maximum efficiency. and how to use Serverless Kubeflow for full workflow…Mar 2, 2020Mar 2, 2020
yaron havivinTowards Data ScienceML Ops Challenges, Solutions and Future TrendsSummary of my MLOps NYC talk, major AI/ML & Data challenges and how they will be solved with emerging open source technologiesJan 7, 2020Jan 7, 2020
yaron havivinTowards Data SciencePython Pandas at Extreme PerformanceWould you like your simple Python code to be extremely fast, scalable and ready for production? not a dream, learn how to make it a realityAug 8, 20192Aug 8, 20192
yaron havivinTowards Data ScienceWhy is it So Hard to Integrate Machine Learning into Real Business Applications?You’ve played around with ML, almost won a Kaggle competition and now you need to build AI into a real biz up, see what to expect …Jul 8, 2019Jul 8, 2019
yaron havivinTowards Data ScienceKubernetes, The Open and Scalable Approach to ML PipelinesStill waiting for ML training to be over? Tired of running experiments manually? Not sure how to reproduce results?…see how Kubernetes…May 15, 20191May 15, 20191
yaron havivinTowards Data ScienceServerless: Can It Simplify Data Science Projects?Struggle with delivering data-science into production? see how new serverless architectures address the key challengesApr 24, 2019Apr 24, 2019