Spotter Meets Slack: From Conversation to Insight

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.

Efficiently Transferring Ownership of Metadata and Data Objects with ThoughtSpot

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.

Spotter 3: Your Smartest Analytical Partner Yet

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.

How Businesses are Turning Data Strategy Into Business Momentum

In every industry, leaders are facing the same reality: mission critical applications and databases can’t run on yesterday’s infrastructure. When core systems slow down, the entire business feels the drag from customer experiences to employee productivity to innovation velocity, VSP One is the chosen solution for many wanting to turn data strategy into business momentum. Here’s how two organizations turned their mission critical applications and databases into engines of innovation.

Frank O''Dowd

AI is reshaping how sales teams find prospects, build relationships, and close deals. Frank O’Dowd, Cloudera’s Chief Revenue Officer, joins to discuss Cloudera’s approach to AI in the sales function. Frank details his philosophy, which is that rather than replacing the human touch, AI is helping sales professionals work smarter, offering insights, personalization, and efficiency at scale. It’s a complementary tool that can help sales teams make themselves relevant to their target audience. As Frank says in the episode, “The person with the most information always wins.”

Why Zero Trust Storage + Eight 9s Availability Is Non-negotiable

We’ve entered a new era where AI is accelerating every part of business—innovation, decision‑making, and unfortunately, cyberthreats. That means right now is the most critical moment for IT and business leaders to strengthen resilience. The window for “getting ahead of risk” is no longer measured in months or years; it’s measured in minutes.

Chat with Your Data: The Official Databox MCP

Your AI is brilliant, but it’s blind. Until now. We are thrilled to launch the official Databox MCP (Model Context Protocol). This open standard server bridges the gap between your business data and your favorite AI tools, turning general-purpose LLMs into specialized data analysts that know your business data. Stop manually exporting CSVs or taking screenshots of dashboards. With Databox MCP, you can connect 130+ data sources (Google Analytics, HubSpot, Salesforce, Stripe, and more) directly to tools like Claude, ChatGPT, Cursor, and n8n.

Qlik Joins Snowflake-Led Open Semantic Interchange to Bring Consistent Business Meaning to Analytics and AI

If you have ever asked three teams for the definition of the “same” metric and gotten three different answers, you have already met one of the most expensive, least talked about problems in modern data. It is not a lack of data. It is a lack of shared meaning. As analytics and AI spread across more tools, clouds, and teams, business context often fails to travel with the data. A metric defined one way in a dashboard gets redefined in a notebook.