From Qlik to Quick: How to Transform Qlik Dashboard Analysis With Hidden Insights AI

The gap between having data and getting actionable insights has always been a challenge in business intelligence. Users face dashboards filled with information but struggle to answer critical questions without exporting to Excel, waiting on developers, or missing key trends hidden in their filtered data. But with technological advancements like natural language AI agents, users can access insights and patterns they might otherwise miss.

Hybrid by Design: The New AI Mandate

For the better part of a decade, the enterprise technology mandate was simple: “cloud first,” or more pointedly “cloud only.” Modernizing meant moving to the public cloud, and on-premises architecture was viewed as legacy infrastructure to be maintained until it could eventually be migrated. Fast forward to today, that narrative has shifted dramatically, with AI as the major catalyst.

Building a vacation rental analytics dashboard in Yellowfin

Running a vacation rental is a laborious task. Communicating with guests, managing cleaning staff, developing a pricing strategy… It's all time-consuming work. What makes it harder is that many decisions are made with partial information: a sense that “this month felt busy,” a hunch that prices might be too low, or a vague feeling that one booking channel is starting to dominate. That’s how intuition quietly replaces evidence.

Preparing for Agentic AI: Top Trends in Data and AI 2026

In this season premiere of The Data Chief podcast, host Cindi Howson sits down with three industry leaders to unpack what’s next for AI, and the concrete moves data and AI leaders need to make in 2026—many of which are detailed in ThoughtSpot’s Top Data & AI Trends of 2026 ebook. Get ready for a deep dive into: Consider this your field guide to navigating AI in 2026.

Trust Through Transparency: AI Answers You Can Verify with Spotter

Trust, verified. Powered by Spotter. Why settle for AI hallucinations when you can have governed truth? Spotter maps natural language to business tokens, giving you 100% transparency down to the code. Experience AI you can actually explain. Discover what Spotter can do.

From data to charts: How to build a dashboard in Yellowfin

Without a fuel gauge in your car, you'd have to rely on gut feeling to know when to fill up, and that's risky. You might end up stranded on an empty road without gas. The same principle applies to software we use every day. Embedding analytics (charts, graphs, reports and dashboards) into your app means your users can base their decisions on fast, powerful visualizations of real-time data.

Qlik and Snowflake Cortex AISQL - Show Me What's Possible

Discover how Qlik and Snowflake Cortex AI-SQL are revolutionizing data enrichment and analytics accessibility. This introductory video explores how SQL-savvy data engineers can invoke powerful AI functionality at scale—without complex data science programming—using Snowflake's SQL wrapper for AI capabilities. Learn how Qlik operationalizes Cortex AI-SQL across your entire data pipeline, from enriching data in-flight through Qlik Talend Cloud to enabling business users to interact with AI-powered insights through Qlik Sense analytics.

Qlik and Snowflake Cortex AISQL - Show Me How It Works

See Snowflake Cortex AI-SQL in action with comprehensive demonstrations across the entire analytics lifecycle. This deep-dive video showcases real-world implementations including sentiment analysis on healthcare survey data, emotional classification using the Plutchik Wheel of Emotions, and sophisticated prompt engineering for actionable business recommendations. Watch how Qlik operationalizes these AI capabilities within data pipelines, storing enriched insights as structured data that any user can access—no SQL or data science expertise required.