Introduction to ML Ops (Machine Learning Operations)

 
Greek Introductory & Overview Other

Ever wondered how organizations build, deploy, maintain, adapt, retrain and redeploy large-scale AI-powered applications? In today’s fast-paced industry, maintaining and deploying scalable applications while being able to adapt quickly to the changing consumer requirements is of utmost importance. Join us as Vangelis Misirlis will explain how this is achieved using MLOps.

Speaker

Evangelos Misirlis

Azure Product Marketing Manager

Originally from Thessaloniki, I fulfil my passion in Microsoft a Cloud Solution Architect Intern. A wide variety of professional interests including Business Intelligence, Machine Learning, Business Analytics, Psychology, and Entrepreneurship capture my attention. I am passionate about software engineering, problem-solving and in tune with people around me. I strongly believe that combining both technical and social skills any demanding and challenging project can be tackled. In my free time, I am an application developer, a mountain climber, and a sailor. Currently live in Thessaloniki, Greece.

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Code of Conduct for local live streams

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A good template can be found at https://confcodeofconduct.com/, including internationalized versions at https://github.com/confcodeofconduct/confcodeofconduct.com. An excellent version of a Code of Conduct, not a template, is built by the DDD Europe conference at https://dddeurope.com/2020/coc/.