Systems | Development | Analytics | API | Testing

You can celebrate a record-breaking quarter and still miss the number that matters. If your team still measures success in silos, this one will hit home.

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.

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.

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.

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

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.

See how Tableflow converts data to Apache Iceberg or Delta Lake format, and how it can be integrated with Amazon Redshift to query and analyze customer activity snapshots.