Yotam OreninTowards Data ScienceThree Must Haves for Machine Learning MonitoringA guide for data scientists evaluating solutionsSep 30, 20221Sep 30, 20221
Yotam OreninMonaSo, you need AI monitoring — should you build or buy?Before you launch a project to build an AI monitoring system from scratch, consider whether or not this would be a good use of your…Mar 10, 2022Mar 10, 2022
Yotam OreninMonaContinuous feedback is key to taking your AI from “good to great”Bridging the gap between business outcomes and AI workflows is not without challengesNov 23, 2021Nov 23, 2021
Yotam OreninTowards Data ScienceThe virtuous cycle of AI-driven growthWhat business leaders need to know about scaling AI/ML projectsFeb 23, 2021Feb 23, 2021
Yotam OreninTowards Data ScienceThe definitive guide to AI monitoringLearning from our work for teams across deep learning and machine learning use cases across verticalsNov 3, 2020Nov 3, 2020
Yotam OreninTowards Data ScienceThe platform approach to AI monitoringDon’t trust monitoring solutions that work out of the box. Your input is crucial.Aug 12, 2020Aug 12, 2020
Yotam OreninMonaWe are building Mona to bring observability to production AIAn introduction to Mona, a SaaS platform that enables AI teams to monitor data and model performance in production.Jun 8, 2020Jun 8, 2020