Systems | Development | Analytics | API | Testing

How AI Augments Human Creativity at Scale: The WPP Blueprint

Learn how AI agents are reshaping enterprise decision-making, AI governance, and brand creativity. Daniel Hulme, Chief AI Officer at WPP & CEO of Satalia/Conscium, explains how AI agents, decision intelligence, and his concept of “brand brains” (AI systems designed to create brand-specific, production-grade content) are changing how organizations operate. He shares why companies don’t have data problems but decision-making problems, and how AI can augment human creativity at scale.

Retrieving Metadata from a ThoughtSpot Cluster Using CS Tools

Retaining total clarity over your metadata doesn't have to be a manual burden. While traditional BI tools often demand more time than they save, this technical walkthrough explores how to leverage CSTools—a Python-based utility—to bypass the UI and fetch metadata directly via REST APIs. Automating your cluster oversight is essential for reliable, code-first tracking of users and groups at scale. By using CSTools, you can eliminate the manual "busy work" and offload the repetitive tasks that weigh down your data team.

Enhancing Liveboards with Dynamic Granularity Options in ThoughtSpot

Stop falling into "Manual Toggle Fatigue" and start mastering dynamic Liveboard control. In this technical walkthrough, we explore how to leverage Parameters paired with Custom Formulas to update granularity across an entire suite of visuals with a single selection.

Don't DIY Your AI: How MDaudit Scaled Smarter with ThoughtSpot

​@MDauditSoftware did it by swapping "data babysitting" for ThoughtSpot. After 6 years, they’ve unlocked a "shadow workforce" that handles the tech so the team can focus on growth. The Result: Total operational independence Zero maintenance, more innovation Strategic agility at scale Stop DIY-ing your AI.

Reimagine Data Prep for the Agentic Era with Analyst Studio

One year ago, we introduced Analyst Studio, ThoughtSpot’s unified workspace for preparing and managing AI-ready data, with a vision: to transform analysts from report generators into business catalysts. SQL, Python, and visual analysis finally worked together in one workspace, letting data teams move seamlessly between ad-hoc queries and advanced modeling, all while preparing data for the AI revolution we knew was coming.

ThoughtSpot + Slack: Introducing Spotter for Real-Time Search

We’re excited to share that ThoughtSpot is a launch partner for @Slackhq's new Real-Time Search (RTS) API and Model Context Protocol (MCP) server! What happens when you bring the power of AI-driven analytics into the world’s leading collaboration platform? You get Spotter for Slack. With this new integration, Spotter can now.

From Dashboard Rage to Pipeline Clarity in 3 Minutes: Liza's #OnTheSpot Moment with Spotter

Marketing leaders, check out Liza’s Moment: Instead of manual data wrangling across dispersed platforms, Liza Siordia uses natural language to consolidate her campaign performance on the fly. Spotter moves us from a world of fragmented reporting to a single source of truth across data sources. You can continuously refine your analysis in real-time—from "how did webinars in January perform" to complex YOY comparisons.

How Nasdaq Architected a $90 Trillion Data Ecosystem

Discover how Nasdaq uses data platforms at a massive scale to power markets and prepare for AI. Angie Ruan, Nasdaq’s CTO of Capital Access Platforms, explains how large-scale data systems support market integrity, transparency, and decision-making across public and private markets. She defines what it really means to be AI-ready, how leaders should modernize data platforms, and how market fundamentals help separate real AI value from hype.

Data and AI Trends 2026: Predictions for Agentic AI Production

Agentic AI is moving quickly from experiments to real work. In 2026, it shows up inside the workflows that drive outcomes: decisions, operations, and accountability. In the season 7 premiere of the Data Chief podcast, host Cindi Howson sat down with three leaders who work at the intersection of AI ambition and enterprise execution: Paul Baier (GAI Insights), Jennifer Belissent (Snowflake), and Rory Blundell (Gravitee).