PyData Helsinki Meetup #4 : MLOps (February 2021)

We are delighted to announce the 4th edition of PyData Helsinki meetups. This month's talk will be all about MLOps. And again, due to the current situation, the meetup will be held online.

The event will be held on Google Meet and it will be recorded. Please make sure your mic is MUTED when you join the meeting.

Google Meet link : https://meet.google.com/hnp-dkrk-rsr

Agenda:

• 6:30pm - 6:35pm : Greetings & Introduction
• 6:35pm - 7:10pm: Talk & Demo
• 7:10pm - 7:30pm: Q&A

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# MLOps: Automated Machine Learning, by Emmanuel Raj

MLOps is a systematic approach to building, deploying, and monitoring machine learning solutions. It is an engineering discipline that can be applied to many industries and use cases. The talk is filled with real-world examples to help you understand the application of MLOps. You will begin by finding out how to

1. Build ML pipelines to train robust and scalable machine learning (ML) models.
2. Deploy models securely in production.
3. Continuous Integration and Continuous Delivery for ML.
4. Monitor ML and system performance in production.
5. Build an automated ML workflow for your organization.

Emmanuel Raj is a Senior Machine Learning Engineer with 6+ years of industry experience. Machine Learning Engineer at TietoEvry and Member of European AI Alliance at European Commission, he is passionate about democratizing AI, bringing research & academia to industry, and engineering end-to-end Machine Learning systems. Since 2015 he has focused on productizing machine learning solutions in the industry using technologies like MLOps, Natural Language Processing, Computer Vision, Edge Computing, and 5G. Over the years, he has worked on AI projects in multiple sectors such as Finance, Healthcare, Retail, E-commerce, Aviation, Marketing, and Manufacturing. A Master of Engineering (M.Eng) degree in Big Data Analytics from Arcada University of Applied Sciences. He has a keen interest in R&D using cutting-edge technologies such as Edge AI, Blockchain, MLOps, and Robotics. His recent paper "Reliable Fleet Analytics for Edge IoT Solutions" got awarded as the best paper of 2020 at IARIA conference held in Nice, France. Emmanuel believes that “the best way to learn is to teach", as a result, he has authored the upcoming book “Engineering MLOps”. He is passionate about sharing and learning about new technologies with others.