Join us on May 4 for a new episode of AI42 with Paul Peton focused on "Azure Machine Learning & Databricks: friends or foe?".
Session info:
Building an architecture dedicated to the industrialization of Machine Learning raises many questions. Even more so when different Azure resources seem to play similar roles! Should I choose between Azure Machine Learning and Databricks? Or can the two interact? From Databricks, I can redirect my logs to an MLFlow Tracker on Azure ML. With the azure ml SDK, I can run code remotely on a Databricks cluster. How to choose according to my context? What are the best practices? To make the right decisions, we need to understand who plays the storage, compute or versioning role and find the right candidate for each role. Several demonstrations will illustrate the possible advantages... without spending too much money!
We will end with a proposal for a multi-environment architecture, organized around the concept of "centralized registers".
GUEST SPEAKER
Paul Peton works as a Manager Expert Data Science at AVANADE and in addition, he is also a Microsoft AI & Data Platform MVP Paul is a Data Scientist with significant experience in BI self-service, seeking even more value in data with tools like Statistics, Machine Learning or Dataviz. He is an Azure fan, member, and organizer of Global AI Community.