The world is moving forward, data volume for systems grows more and more over time, and companies are often required to make the shift towards being data driven. Data products - products based on ML/AI - require us to re-architect our systems to support and analyze a lot of data, as the classic backend approach to support data systems is often not good enough.
In this workshop, Shelly Shmurack and Vicki Kalmanovich will share their product and engineering shared point of view to allow building data products in various maturity stages. Participants will define requirements, design and evaluate success when building data products. We'll go over best practices for building infrastructure when working on data products and see how to provide plenty of value for organizations that need to build data products.
A good software architecture for data products can change the face of the company and be as valuable as gold. If you want to build data products and have a backend background - this workshop is meant for you!