MLOps con Azure Machine Learning

Italiano Intermediate Data & AI

In questa sessione racconteremo dell'esperienza maturata da Deltatre, insieme a Microsoft, nella gestione di progetti di Machine Learning e Deep Learning, dalla prototipazione alla messa in produzione. Vi presenteremo una panoramica sui servizi Microsoft Azure Machine Learning, i concetti fondamentali su MLOps e Pipelines e vi condivideremo alcune best-practices nello sviluppo e nella gestione del ciclo di vita dei modelli e dei dataset.


Gianni Rosa Gallina

R&D Senior Software Engineer @ Deltatre

Gianni is Windows Development MVP since 2011 and double-awarded AI MVP in 2020, focused on emerging technologies, AI and Virtual/Augmented/Mixed Reality since 2013. Currently he is R&D Senior Software Engineer in Deltatre's Innovation Lab, designing and prototyping next generation solutions for sport related experiences and services, from VR/MR apps to end-to-end in Azure architectures, passing by Cognitive Services, AI and much more. Besides that, he's an active member of the local community “Torino Technologies Group” (TTG), organizer and trainer for Coding Gym Torino monthly meetups, Pluralsight online courses author, publish articles on his blog and he's speaker in national and international tech conferences and events.

Clemente Giorio

Senior Research & Development Engineer @Deltatre

Hacker, geek, maker, researcher, innovator, trainer, developer... Has made science and technology his passion other than his job. Follows many communities and is often actively involved as a speaker and event organizer in particular with: Coding Gym, DotNetPodcast, FabLabNapoli, DotNetCampania and HoloLens Developers. His signature dishes, far from the stove, are: Artificial Intelligence, Computer Vision, Internet of Things, Natural User Interface and Mixed Reality. Microsoft MVP and Intel Software Innovator, works as Senior Research & Development Engineer for Deltatre, where he develops software prototypes.

Vito Flavio Lorusso


Vito Flavio Lorusso is a Cloud Services Engineer in Microsoft. He has been working on Azure since its early days and works with WW ISVs and enterprise customers on giving practical advice and producing tailor made code to make their Cloud journey successful. He works in Microsoft since 11 years, and former web and enterprise developer and dev lead as a freelance

Code of Conduct

We seek to provide a respectful, friendly, professional experience for everyone, regardless of gender, sexual orientation, physical appearance, disability, age, race or religion. We do not tolerate any behavior that is harassing or degrading to any individual, in any form. The Code of Conduct will be enforced.

Who does this Code of Conduct apply to?

All live stream organizers using the Global Azure brand and Global Azure speakers are responsible for knowing and abiding by these standards. Each speaker who wishes to submit through our Call for Presentations needs to read and accept the Code of Conduct. We encourage every organizer and attendee to assist in creating a welcoming and safe environment. Live stream organizers are required to inform and enforce the Code of Conduct if they accept community content to their stream.

Where can I get help?

If you are being harassed, notice that someone else is being harassed, or have any other concerns, report it. Please report any concerns, suspicious or disruptive activity or behavior directly to any of the live stream organizers, or directly to the Global Azure admins at All reports to the Global admin team will remain confidential.

Code of Conduct for local live streams

We expect local organizers to set up and enforce a Code of Conduct for all Global Azure live stream.

A good template can be found at, including internationalized versions at An excellent version of a Code of Conduct, not a template, is built by the DDD Europe conference at