Systems | Development | Analytics | API | Testing

Most teams still operate on BI built for yesterday — disconnected dashboards, slow workflows, and constant back-and-forth between data and business teams. Expectations for speed, insight, and autonomy have never been higher. On Dec. 10, ThoughtSpot is unveiling a new generation of AI agents that close the BI gap and unify your data, your people, and your decisions. Whether you lead data strategy, run a business function, or build analytics experiences, you’ll see how agents transform decision-making on day one.

Write Table is an interactive, editable table chart that lets users capture structured input directly in Qlik Cloud Analytics apps. Users can edit records through inline text fields or dropdowns, and all changes are stored in a separate Qlik-managed change store. Updates sync instantly across active sessions in real-time, without reloads. Designed for actionable, transactional use cases, Write Table makes analytics apps more interactive and collaborative.

Stop building data connectors from scratch. Start shipping features faster. Your customers want access to more data sources, but your engineering team is already stretched thin. Sound familiar? In this video, we break down how redistributable connectivity drivers can accelerate your product roadmap without adding technical debt. If you're building analytics tools, reporting platforms, visualization apps, or any software that needs to connect to data, this is for you.

Connecting Druid to Power BI shouldn’t require hacks—and it definitely shouldn’t require exporting CSVs. Here’s the part nobody says out loud: Microsoft built Power BI’s connector architecture around ODBC, not JDBC or REST. So if your Druid cluster is built for lightning-fast analytics but your users can’t access it natively, that’s not a Druid problem… that’s a connector problem. This video shows how the Simba Druid ODBC Driver solves that in minutes.

Qlik’s MCP server provides a full set of tools that allow external LLMs to tap into Qlik’s unique capabilities for data and analytics—so AI can take advantage of our data products foundation and analytics engine to deliver powerful insight and automate tasks and workflows.

Turning complex, siloed medical data into accessible, actionable insight isn’t just a technical challenge; it’s a human one. In this episode of The AI Forecast, Luz Erez, physicist-turned-entrepreneur and CTO of MDClone, explores how synthetic data is transforming the way we use medical information for research, innovation, and patient care. Erez explains how MDClone’s platform manages tens of millions of patient records across hospitals worldwide—safely turning real data into synthetic datasets that preserve statistical accuracy while protecting privacy.

Cullen Sorrels, Senior Solutions Engineering for DCR, walks through a Quickstart Guide on how to use freeform SQL in Snowflake Data Clean Rooms.

AI is transformative, but it’s only as good as the data it can access and the means it has to unlock it. Qlik’s MCP server provides a full set of tools that allow external LLMs to tap into Qlik’s unique capabilities for data and analytics—so AI can take advantage of our data products foundation and analytics engine to deliver powerful insight and automate tasks and workflows. Register your interest and be one of the first to try Qlik’s new agentic AI capabilities.

Snowflake CEO Sridhar Ramaswamy chats with Amazon Web Services CEO Matt Garman on accelerating AI from pilot to production. Hear how the combination of Snowflake's AI Data Cloud and AWS's secure, global infrastructure and complementary AI services make it easier than ever for customers to make data-driven decisions and transform industries, from life sciences to e-commerce and beyond. Snowflake and AWS can help your entire organization efficiently transform, share and analyze data and with industry-specific solutions to further accelerate your business outcomes.