MLOps for Continuous Learning

MLOps empowers data scientists and app developers to help bring the machine learning models to production. MLOps enables you to track, version, audit, certify, reuse every asset in your machine learning lifecycle, and provides orchestration services to streamline managing this lifecycle. In this session, you will get inspired and learn how to bring together people, processes, and platform to automate machine learning-infused software delivery and also provide continuous value to your customers.

Francesca Lazzeri

Francesca Lazzeri

Principal Data Scientist Manager at Microsoft

Other sessions from: Explore the possibilities of AI

AI skills beyond developing

AI skills beyond developing

AI is a world where IT and Business dance together. Is it enough to be a...

Ekaterina Marinova Ekaterina Marinova
Developer Essentials for the New Era of AI

Developer Essentials for the New Era of AI

While the arrival of AI has enabled amazing new possibilities, it has also...

Manuvir Das Manuvir Das
Panel: The future of AI

Panel: The future of AI

Join Eric, Erik, Ekaterina and Francesca in a panel sharing their views and...

Eric Boyd Eric Boyd
Ekaterina Marinova Ekaterina Marinova
Erik Pounds Erik Pounds
Francesca Lazzeri Francesca Lazzeri
Improving the fairness and reliability of AI solutions

Improving the fairness and reliability of AI solutions

AI is at the heart of technological innovations. However, it is vital that...

Ruth Yakubu Ruth Yakubu
Azure AI innovations at Microsoft

Azure AI innovations at Microsoft

Join Eric Boyd, CVP of Azure AI, as he takes a closer look at how organiza...

Eric Boyd Eric Boyd
Beatriz Stollnitz Beatriz Stollnitz
Welcome to the Global AI Developer Days

Welcome to the Global AI Developer Days

Welcome to the Developer Days! Join this session and learn what is going on...

Henk Boelman Henk Boelman
Sammy Deprez Sammy Deprez
Sjoukje Zaal Sjoukje Zaal