Systems | Development | Analytics | API | Testing

ThoughtSpot has been named a Leader in the 2026 Gartner Magic Quadrant for Analytics and Business Intelligence Platforms. We’re celebrating this milestone while building for tomorrow, as we shift from the Era of Reporting into the Era of Action. Hear a message from our CEO Ketan Karkhanis on what this shift means for our customers and partners, and how companies can win in this next era of AI BI.

AI agents write broken code nearly 50% of the time. By adding a traffic-based deterministic evaluation, Speedscale boosted unsupervised bug-fixing quality from 51% to 77% in just 5 minutes. This helped slash token costs and eliminate rework without human intervention. Learn more: speedscale.com.

Tired of outage after outage? Use traffic replay to automatically generate regression tests for your CI pipeline in just a few clicks. Take back your time! Read more at speedscale.com.

Most data teams think MAR pricing is predictable and manageable. You pay for rows that change, your pipelines keep running, and the monthly bill should be easy to understand. But teams on the pricing model learn the reality 6 months in. If you’re on the MAR model this is a must watch (before you get your next bill spike). Dan Murphy explains why MAR mechanics are designed to break.

At Snowflake Summit 2026, Gene Teare from Crunchbase and Harsha Kapre, Director at Snowflake Ventures, discuss their joint report examining AI investment trends and capital formation in the data ecosystem. Learn how the market has evolved from 2021's broad exuberance to concentrated investment in AI-ready infrastructure, governance, and agentic applications. Discover what signals indicate a startup is truly enterprise-ready versus experimental, and explore the next phase of capital formation in the agentic AI economy.

The real bottleneck is knowing what to build before you start. Pro tip from Senior Software Engineer Josh Ellis: treat every AI agent every AI agent like a junior dev he's onboarding: define the what, the how, and the hard limits upfront. The plan drives the output, not the other way around.

When AI operates outside the flow of work, it lacks the context and connectivity needed to drive meaningful business outcomes. Appian innovations over the last quarter are designed to bridge this gap by continuing to make it safe and easy to embed AI directly into end-to-end processes. Join Appian product experts for a deep dive into the latest platform features and see how to use new capabilities in your applications.

What if testing could finally keep up with your release speed? With Perforce Autonomous Testing, teams can simply describe what they want to validate, and AI takes care of execution, orchestration, and analysis across functional and performance testing. Built on a unified testing platform, Perforce brings everything together into a single workflow to eliminate manual setup, reduce reliance on specialists, and deliver faster, in-sprint feedback.

A Slack Bot allows your Agent to directly interact within your slack channels. In this video: Adding AgentSpot Slack App Connecting Agent to Slack Using Agent in Slack.

Check out what’s new in ThoughtSpot’s latest release! SpotterModel gets smarter: Build complex data models with AI formula suggestions and instant version rollbacks if you make a mistake. No stress, no lost work. Spotter Instructions: Fully customize Spotter’s persona, formatting rules, and strict guardrails. It says exactly what you want it to say—and nothing it shouldn't. Ad Hoc Analysis: Drop local files directly into Spotter for instant answers, or blend them safely with your governed enterprise data.