Between data and ML: The Feature store

Between data and ML: The Feature store
Event Info
March 16, 2022
4:00 PM - 4:30 PM CET

About this webinar

Currently, the majority of ML projects never see the light of day.

Feature store promises to change that by providing a catalog of neat, ready-for-production features, powering the efficiency and scalability of ML models.It is going to become a core element of the largest tech companies that deal extensively with AI and will soon become critical to building any advanced analytics application.

In this session, you will discover what issues the Feature Store solves, its design goals and main components, and what it is intended for.

We introduce the Feature Store technology, why it has become a core element of a data science development process, and how it can help companies extract the most value from their ML data platform.

Why Attend

Features are the essence of an ML project. Having a tool to manage and share features among different teams can be a game-changer for a company.

  • Would you like to know how to enhance your ML workflow?
  • Would you like to know how to avoid inconsistencies when training and testing ML models?

We will show you how to overcome these and many other pitfalls by using the Feature store, an ML-specific data system for storing and managing documented, curated, and access-controlled features.

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