At a distance of a million miles from Earth, the James Webb Space Telescope is pushing the edge of data transfer capabilities. The observatory launched Dec. 25 2021 on a mission to look at the early universe, at exoplanets, and at other objects of celestial interest. But first it must pass a rigorous, months-long commissioning period to make sure that the data will get back to Earth properly. Mission managers provided an update Feb.

Data infrastructure is rapidly growing and evolving along with infrastructure for AI/ML, with the latter growing largely independent from the former. An emerging generation of AI/ML tooling emphasizes data-centric versus model-centric approaches to the ML development lifecycle. These tools recognize that data is the foundation for AI and seek to open opportunities for all data professionals to participate by eliminating the unnecessary complexity of traditional model-centric solutions.

For the newest instalment in our series of interviews asking leading technology specialists about their achievements in their field, we’ve welcomed Katie King, CEO of AI in Business, a firm that specializes in AI consultancy and training. With over 30 years of experience, Katie has advised many of the world's leading brands and business leaders, including Virgin, o2, Orange and Accenture.

This guide will show you how to easily add Continual as the AI layer to your modern data stack with Snowflake at the core. The intention is to provide an introduction to using Continual on Snowflake. After completing this tutorial, users are invited to try more advanced examples. We are going to demonstrate connecting Continual to Snowflake, building feature sets and models from data stored in Snowflake, and analyzing and maintaining the predictive model continuously over time.

Unravel’s AI-enabled full-stack observability for the modern data stack simplifies the way data teams monitor, observe, manage, troubleshoot, and optimize the performance and cost of large-scale data applications. Unravel also accelerates data migration to the cloud by providing a data-driven assessment plan to save time and cost while also enabling you to deploy effortlessly.