As telecom operators invest billions in next-generation networks, many are racing to deploy AI to cut costs and unlock new revenue. But beneath the push for automation and smarter infrastructure lies the deeper challenge of rethinking how connectivity itself should be trusted.

Many financial institutions are finding that improving education isn't enough to solve their data management struggles. It’s time to move from “proof of concept” to “intelligence orchestration.” The gap between AI experimentation and real-world ROI is widening. In this video, we break down why a robust, proprietary data foundation is the only way to scale AI safely and effectively. We explore why financial services must move beyond public data and focus on unique, high-value data assets to create a true competitive advantage.

Discover how Cloudera brings data anywhere, helps channel partners become trusted experts for their accounts, drive business growth, and accelerate their customers’ AI journey.

In this step-by-step, demo, we use AI to create master dimensions and master measures, then using Cortex and MCP automate the creation of the Qlik Sense app showing KPIs, tables, and filters—all powered by Qlik MCP & Snowflake Cortex Code. What you’ll learn: Perfect for BI developers, and analytics leaders who want trustworthy analytics. Watch now.

A quick demo of simple scenatio using Qlik MCP Server and Anthropic Claude as the LLM AI client. Where you should go next.