Blog archive, page 8

The second and final day of the Rev 4 data science and MLOps conference did not disappoint, delivering a rich tapestry of insights that dove deep into the heart of what drives AI innovations inside the world’s most sophisticated companies. As hundreds of eager current and future AI leaders crowded into the general session and breakouts, the speakers echoed many of the themes that played out in Rev's opening keynote by Domino Data Lab's CEO and co-founder, Nick Elprin. Three keynote sessions exemplified key themes that resonated strongly with Elprin's call to action: Embracing AI Leadership, Reinforcing the Role of the Chief Analytics Officer, and Ethical Considerations in AI.

Hundreds of data science leaders, practitioners, and the IT counterparts teaming with them, gathered together in New York City—in this iconic moment for artificial intelligence—at the fourth Rev conference. The event, billed as the most important conference on fast, responsible, economical AI innovation, is dedicated to helping the world’s most sophisticated companies go “all in” with AI, and teaching them how to get there quickly and safely using proven methods from industries across business and science.

Good morning, and welcome to all attendees of Rev 4! As we gather at the Marriott Marquis in New York City from today and tomorrow, we look forward to diving into the heart of AI innovation. This year, we are rallying around the theme "ALL IN," reflecting our collective commitment to advancing the frontiers of AI and data science.

Build and Operate AI Fast, Responsibly and Cost-Effectively

With the increased adoption of cloud computing and demand for managed applications and services, we are now able to offer a new choice of Software as a service (SaaS) deployment model for customers who need it. Let’s explore the organizational components that influence whether SaaS is the right choice for your organization when it comes to data science and MLOps.

If you are involved in work in the data science field, you may have heard about feature stores. This post will provide a basic overview of what feature stores are (For a deeper discussion, look here). Then, we will cover the problems they solve and how they work. Domino now incorporates a feature store into its platform. Finally, we will briefly introduce how you can use it. So let's get started!