Systems | Development | Analytics | API | Testing

Why Enterprise AI Can Get the Query Right and the Answer Wrong

Most teams deploying AI agents on their data are watching the wrong things. They check whether the query ran and whether the number looks plausible. When both checks pass, the agent gets credit for a correct answer, and the output flows into dashboards, decisions, and the next agent in the chain. There's a gap between those two checks and actual correctness, and it's where the expensive mistakes live. Getting to a correct answer requires more than a formally valid calculation.

Stop the AI Iceberg | Secure AI Using Ontologies and Semantic Layers

Don’t let the "AI iceberg" sink your IP Most leaders only focus on the flashy models at the surface, but the real value—and the risk—is what’s underneath. Tony Seale and Jessica Talisman reveal why turning AI back onto your own data infrastructure to build connected ontologies is the key to security. This semantic foundation is the core of Agentic Analytics, ensuring your insights are grounded in your specific business logic rather than generic LLM guesses.

Ontology: The Secret to Semantic Layers | The Data & AI Chief Podcast

Is your AI-driven "autonomous enterprise" a reality or a peak-of-inflated-expectations dream? Most organizations rush toward the end state of AI agents without doing the foundational work of defining how their data actually relates through a robust ontology. In this episode of The Data & AI Chief, we sit down with Tony Seale, Founder of The Knowledge Graph Guys, and Jessica Talisman, CEO and Founder of The Ontology Pipeline. We break down why the "lost art" of data modeling and the development of semantic layers are the secret weapons for scaling Agentic Analytics.

How Semantic Layers and Ontologies Create Trusted AI

Learn why an organization’s ontology, a structured framework for how a business defines, connects, and makes sense of its data and knowledge, is the most valuable and most overlooked asset in any AI strategy. Jessica Talisman, CEO and Founder of The Ontology Pipeline, and Tony Seale, Founder of The Knowledge Graph Guys, break down what it actually takes to build trusted AI, covering everything from semantic layers and knowledge graphs to why provenance is non-negotiable.

SpotDevOps: Building an AI-Native SDLC Platform at ThoughtSpot

4,096 Tasks completed 89.8% success rate 302 Active users 4× growth Jan→Mar 86 Agents deployed 73 built by engineers 72 days In production 15,896 messages Modern engineering teams face a familiar paradox: the bigger the system, the more time engineers spend managing the work rather than doing it. Bugs pile up faster than they can be triaged. PRs wait days for review. On-call engineers spend hours reproducing what someone already debugged six months ago.

How to Audit Your ThoughtSpot Tables and Models

Are you spending too much time hunting down data assets across your cluster? Manually tracking every table and model shouldn't be a full-time job—it's time to let your metadata do the heavy lifting. In this walkthrough, we show you how to generate a comprehensive list of every table and model in your system to give you the clarity needed for optimization and cleanup. By leveraging CS tools to execute metadata commands and navigating the ts-metadata-objects folder, you can identify critical logical tables and capture object subtypes with precision.

Exporting Liveboard Reports using API with ThoughtSpot

Tired of manual reporting workflows holding back your team? Learn how to scale your data distribution by mastering Liveboard exports through both the UI and ThoughtSpot’s REST API v2. In this walkthrough, we dive into the technical details of capturing specific tabs and formatting reports in high-quality PDF and XLSX. We’ll show you how to use identifiers and filters to customize insights—like a brand manager automating reports specifically for Coca-Cola—so your stakeholders get exactly what they need, when they need it.

Spotter Semantics-The Rosetta Stone for Agentic AI

In 1799, soldiers near Rosetta, Egypt, unearthed a stone carved with the same decree in three scripts: hieroglyphs, Demotic, and Ancient Greek. Because scholars already understood Greek, it unlocked a language—and with that, a civilization’s worth of knowledge that had been dark for over a millennium. We’re at a similar inflection point in enterprise data.

Driving Business Value with AI: 4 Data Democratization Plays

AI-powered analytics is everywhere right now. But the payoff? Not so much. Two patterns show up again and again. The first is an “AI everything” backlog that expands faster than teams can deliver. The second is an insights bottleneck that still forces the business to wait in line for basic answers while analysts drown in ad hoc requests.

Spotter for Industries: Built for Your Business | Full Intro - March Spotlight

Why do most BI tools feel like they were built for someone else? Because they were built to be general—and "general" doesn't cut it in the Agentic era. At our March Spotlight, ThoughtSpot CMO Micheline Nijmeh introduces the unveiling of Spotter for Industries: AI designed from the ground up to understand your specific metrics, workflows, and priorities. We’re moving past the hype to deliver real business results.