Varo Bank - Feature Store at Varo: Why, How and Lessons Learned скачать в хорошем качестве

Varo Bank - Feature Store at Varo: Why, How and Lessons Learned

#featurestore #featurestoresummit #machinelearning #datascience || In this video || Putting ML models in production requires many engineering components to work in perfect sync and feature stores are one of the key components of this complicated machinery. Feature stores are responsible for providing necessary input data both at training and in production. When it comes to designing and developing feature stores, however, there is no single approach. The best path forward depends on the organization, technology stack, resources, use-cases, and several other factors. In this presentation, the team at Varo walks through the evolution of the feature store at Varo starting from the ontological challenges of defining the feature store and the key functionality that it needs to support. || Feature Store Summit || Feature Store Summit, organized by Hopsworks, is the first conference dedicated to cutting-edge technologies that facilitate bringing machine learning models into production. || Join the community || Join our Slack: https://bit.ly/slack-featurestore Subscribe to receive our newsletter: https://www.featurestore.org/ Follow us on Twitter:   / featurestoreorg   Follow us on LinkedIn:   / featurestore-org   Submit a talk: https://featurestore.org/submit-a-talk/ Read our blogs:   / data-for