Optimizing Your Analytics Life Cycle with Machine Learning and Open Source


To enable data-driven decisions at scale, the Analytics Life Cycle must be highly operational and seamless. By connecting all aspects of the Analytics Life Cycle – DataOps, Artificial Intelligence and ModelOps – SAS helps to turn your critical questions into trusted decisions and gain real value from your investments.

In this talk, data scientist Kyriakos Fistos, will take you through every step of the analytics journey throughout the analytics life cycle by showing how to prepare and visualize data, how to develop Machine Learning models, how to integrate Open Source models in your projects, and how to deploy and manage all of your analytical assets.


Kyriakos is a Data Scientist and works across a broad set of industries contributing to large scale digital transformation projects for the world’s largest organizations. He specializes in data visualization, predictive modelling and model management.

With his academic background in Mathematics and Operational Research, Applied Statistics and Financial Risk, his day-to-day includes helping clients make better business decisions through Data Management, Business Intelligence, Machine Learning and Artificial Intelligence solutions.

Open Data Science




Open Data Science
One Broadway
Cambridge, MA 02142

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