Keep track of new releases for our data connectors and data models for dbt with this regularly updated list.
Let's talk about a problem all baseball fans know all too well: you're stuck in traffic or buried under a mountain of work, and there's no way you're going to make it home in time for the game. An average baseball game clocks in around three hours, and sometimes, life doesn't afford you that kind of leisure time. Here, apps promising live game updates become a lifeline for the busy fan. However, that's where we hit a snag.
With the recent announcement of ThoughtSpot Sage, we launched a number of enhancements to our search capabilities including AI-generated answers, AI-powered search suggestions, and AI-assisted data modeling. In this article we will walk you through the steps we take to secure your data during the LLM interaction.
The explosive rise of generative AI has prompted incredible excitement about its transformative potential, much like the advent of the Internet. But if like me, you’re old enough to remember what that looked like circa 1995, there was a lot we did not know at the time, creating uncertainty in both worlds of work and education on how to best leverage it, and whether providing unlimited access to employees or students was a good idea.
In this article, we'll introduce Ruby on Rails' lesser-known but powerful cousin Sinatra. We'll use the framework to build a cost-of-living calculator app. By the end of the article, you'll know what Sinatra is and how to use it. Let's go!
A great experience isn’t just about quality products and services or fast response rates. Users today expect all of that and more. They want easy, on-demand access to information and services from any device at any time. And they expect transitions across devices, locations, and processes to be seamless.
