Blog archive, page 8

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!

We believe the companies that will soar above the rest and address the world’s challenges are those that put data science at the heart of their business. 76% of of U.S. data executives agree with us, making AI-led value generation one of their top three priorities in 2023.

OpenAI demonstrated the profound impact generative AI could have. Such techniques turn datasets into transformative tools and products. Tangible AI projects that are both inspiring and can save your company time and money. Better yet, you are in a good position to aim high.