Systems | Development | Analytics | API | Testing

Spotter 3 is our smartest agent yet. It acts as a true analytical partner that thinks, reasons, and validates its work—all automatically. It blends structured and unstructured data to go beyond traditional data sources, providing a complete picture of the business. With new skills, like Python coding and forecasting, Spotter 3 acts as your AI data scientist. Spotter 3 ensures every question leads naturally to confident, data-backed action.

Stop manual handovers and start automating your metadata management. In this technical guide, we explore how to use ThoughtSpot CS Tools to seamlessly transfer ownership of data objects—from Liveboards to data models—between users. Maintaining strict data governance is a challenge when team members change roles or exit an organization. Manually reassigning dozens of assets is prone to error and creates "orphan objects." By leveraging the ThoughtSpot CS Tools terminal, you can execute bulk ownership transfers that ensure 100% metadata retention while keeping your operations highly efficient.

Why does finding a data insight mean leaving the conversation? Most of your team’s best context is hidden in Slack threads—until now. With the new Spotter + Slack connector, we’re bringing the power of AI agents directly into your workflow. Make data a natural part of your team's daily conversation. Data to Decisions, Powered by Agents.

Stop falling into "Granularity Traps" and start mastering multi-level calculations. In this technical walkthrough, we explore how to leverage Flexible Group Aggregate functions to perform complex calculations across different levels of detail without losing your data’s integrity.

Katalon worked closely with the customer to set clear success metrics, benchmark their starting point, and build a roadmap to boost automation, reduce defects, and speed up releases. The outcome: far fewer weekend emergencies for the VP, major gains in automation coverage and quality, and a QA team that’s now more mature, and even adopting AI in their testing. — Daisy Hoang, SVP Revenue at Katalon Follow Katalon for more insights in our series!

AI now writes 30% of Big Tech’s code, but the resulting surge in defects is crashing platforms like AWS and GitHub. Manual testing can no longer keep up with this velocity; it's time to deploy AI Quality Agents to save our systems. Is AI speed worth the decline in code quality, or are we headed for a breaking point? Let me know if you’ve noticed more bugs in your workflow lately. Video collab with @ScottMooreConsultingLLC.