Systems | Development | Analytics | API | Testing

At ThoughtSpot, our mission has always been to empower every decision-maker with instant insights that fuel smarter, faster decisions. Recently, we announced the launch of Spotter, our AI Analyst, which brings AI-powered insights to every user, on any question, and any dataset. This is ThoughtSpot's answer to a growing market of AI agents, and it’s our vision to make AI the new BI.

In today’s digital economy, businesses aren’t just competing on products and services—they’re competing on insights and decisions. The ability to deliver real-time, contextual analytics within applications and portals isn’t just a nice to have; it’s a critical advantage. Your users expect instant access to insights without switching between tools, hunting for reports, or waiting for analysts to provide answers. This is where embedded AI-powered analytics comes in.

Over the last two decades, I have used several bug and project management tools, such as ClearQuest, BugZilla, and Atlassian's Jira. Jira is a popular tool for managing and tracking projects. It is widely regarded as a flexible and efficient system that offers interesting features such as JQL (Jira Query Language) and personalization options.

With the ever-growing focus on GenAI, many legacy BI tools have failed to invest in the analyst. By focusing solely on AI experiences for business teams, they’ve alienated data teams, relegating analysts to disjointed tools and data silos. When in reality, businesses still need people who can help decision-makers assess messy data to diagnose and evaluate business problems. In fact, in this age of AI, we need analysts more now than ever.