Beyond the AI Hype: Why Data Management is the Real Secret to 2026 Financial Services Success

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.

Qlik MCP and Snowflake Cortex Code: Automate Building Analytics Reporting

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.

Data Quality Is the Guardrail for Agentic AI

Gartner has named Qlik a Leader in the 2026 Gartner Magic Quadrant for Augmented Data Quality Solutions, our seventh time being recognized as a Leader in this Magic Quadrant. As AI becomes operational, data quality matters more than ever. We’re past the phase where AI just produces outputs. AI is starting to initiate, route, and act across real workflows.

Building Kai

Last week we publicly released Kai, our in-platform AI assistant, a data engineering agent that can build integrations, write transformations, debug failures, and document your entire project. I'm extremely proud of the team and what we've delivered. Yes, everyone has an AI assistant now. But most are chat wrappers that look great in scripted demos and fall apart with real work.

From Dashboard Rage to Pipeline Clarity in 3 Minutes: Liza's #OnTheSpot Moment with Spotter

Marketing leaders, check out Liza’s Moment: Instead of manual data wrangling across dispersed platforms, Liza Siordia uses natural language to consolidate her campaign performance on the fly. Spotter moves us from a world of fragmented reporting to a single source of truth across data sources. You can continuously refine your analysis in real-time—from "how did webinars in January perform" to complex YOY comparisons.