Systems | Development | Analytics | API | Testing

Even well-designed algorithms can fail and end up hurting the people they're meant to help. In this episode, Dr. Ben Green, Assistant Professor of Information and Public Policy at the University of Michigan, explains what keeps data from being used for good, why AI regulation can't be left to AI companies, and what organizations risk losing when they hand too much of their thinking to AI. In this clip from podcast, he shares why it is the companies that are building AI tools that need to be held responsible vs. putting agency on the tools.

The bar for B2B software is being set by B2C experiences. In this clip, Kim Faura, former Managing Director at Gumtree, joins ThoughtSpot's Jane Smith and Mark Hill-Smith to talk about what this expectation shift means for product teams, and what it takes to close the gap between what B2B tools deliver today and what users now expect.

Before any data leader deploys an AI analyst, they ask the same question: what can it touch? In this video, see how Spotter Analysts are governed end to end. What you’ll see: → How admins control which certified models a Spotter Analyst can read→ How data access travels with a shared analyst→ How “show work” traces every answer back to its source→ What governed end to end means in a production agentic analytics environment.

Every campaign launch comes with the same overhead: write the brief, rewrite it for creative, rewrite it again for email ops, digital, and whoever else needs a version of it. Multiply that by every campaign your team runs, and weeks disappear before the work even starts. In this clip from the Thought Tank: Marketing in the Age of Agents, ThoughtSpot SVP Marketing EMEA Katie Marcham and CMO Micheline Nijmeh share the agent that changed that.

Marketing teams spend more time waiting on ops tickets to segment their database than they do actually running campaigns. By the time the segmentation comes back, the brief has changed, the moment has moved on, and someone is already asking for a revision. In this clip from the Thought Tank: Marketing in the Age of Agents, ThoughtSpot SVP Marketing EMEA Katie Marcham introduces the agent her team built to change that. They call it Slicy McSliceface, and it does exactly what the name suggests.

AI and jobs… the topic that’s top of mind for everyone, yet most organizations are asking the wrong questions. The conversation usually starts with cost cutting: how do we reduce headcount, automate repetitive tasks, trim the budget? Jeff McMillan, founder of McMillanAI, thinks that's the wrong frame entirely. He shares what the better questions are in this clip from The Data & AI Chief podcast.

See how AgentSpot can take a complex revenue recognition process and turn it into an end-to-end workflow. In this demo, Manal El-Hindi walks through the RRC Preparer, an agent built to automate the first draft of an ASC 606 revenue recognition checklist from an order form. In this video, you'll see: What is AgentSpot? AgentSpot is multiplayer AI for your business. Anyone can build, share, and collaborate with AI agents connected to your company’s data, context, and tools.

What's new in our latest release: Spreadsheets UI on Live Data lets you build formulas and save reusable answers directly on live, governed data using a familiar spreadsheet interface. Spotter Memory, now General Access, helps Spotter deliver smarter, more personalized answers as it learns from your dashboards and conversations. Take embedded analytics further by embedding entire Collections pages directly into your apps for instant access to curated insights.

How long does it take your marketing team to answer a follow-up question that comes up in a meeting? For most teams, the loop is familiar: take the question back to the analyst, wait for an answer, ask the follow-up, wait again. By the time the answer arrives, the meeting is a memory. In this clip from the Thought Tank: Marketing in the Age of Agents, ThoughtSpot CMO Micheline Nijmeh and SVP Marketing EMEA Katie Marcham show what the alternative looks like.

Every leadership team is arguing about which AI model is best, but that debate is a distraction from the real problem. In this episode, Jeff McMillan, founder of McMillanAI and former head of firmwide AI at Morgan Stanley, breaks down the real bottlenecks behind enterprise AI strategy. He shares why fixing your data matters more than picking a model, why your best AI leader is probably already inside your company, and why AI eliminates tasks rather than entire jobs.