Systems | Development | Analytics | API | Testing

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.

AI agents won’t just increase traffic—they’ll overwhelm legacy databases unless core data architectures evolve to handle machine-scale demand.

Eliminate the chaos of content sprawl and bring structure to your analytics environment. In this feature deep-dive, we explore Collections, a powerful new way to organize, navigate, and share your ThoughtSpot assets using a smart, hierarchical folder system. In this video, you will learn how to: The Result? A radically cleaner user experience that empowers executives to find answers faster and allows admins to govern content with surgical precision.

Bridge the gap between deploying analytics and driving actual adoption by capturing and analyzing real-world user login behavior. In this technical walkthrough, we explore how to utilize ThoughtSpot CS Tools to extract audit logs and activity data, giving admins and stakeholders clear visibility into platform engagement. In this video, you will learn how to: The Result? A data-driven approach to platform administration that replaces intuition with hard evidence of user adoption and engagement.

AI is moving fast, but outcomes still depend on one thing: trusted data, in the right place, at the right time, with the right controls. In this short Qlik story video, you’ll see how we help teams accelerate AI with confidence, turning data into answers you can explain, and actions you can stand behind. From strengthening supply chain decisions, to building a campaign plan in seconds, to spotting changes as they happen, Qlik connects analytics, automation, and governed AI experiences, so AI becomes operational, not experimental.

In this From the Bear Cave session, Dan Faulkner and Vineeta Puranik break down how MCP Server enables connected workflows, what autonomy looks like in practice, and why trust and transparency are critical as teams adopt agentic automation.

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.”

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.