Systems | Development | Analytics | API | Testing

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.

Qlik and Snowflake Cortex AISQL - Show Me How to Build It

Ready to implement Snowflake Cortex AI-SQL in your Qlik environment? This technical walkthrough provides step-by-step guidance for building AI-powered analytics applications using two proven architectural approaches. Learn how to leverage Qlik's partial reload functionality for user-triggered AI queries, and discover the advanced analytics connector method for creating fully responsive, selection-aware AI interactions. Master the techniques for passing aggregated data alongside questions to ensure security compliance, honor role-based access controls, and maintain multiple versions of truth across different departments.

BBI and Cloudera: Partnering for Data and AI Success

Hussein Ragy, CEO of BBI, discusses their strong, four-year partnership with Cloudera. He highlights how Cloudera's leading data, AI, and platform capabilities, including for sovereign data and agentic AI, help BBI provide the best solutions for customers' cloud and hybrid architecture needs, emphasizing a unified approach to service delivery.

Leveraging ThoughtSpot for Managing Complex Joins

Stop manually wrangling data and start automating your governance. In this technical deep-dive, we explore how to leverage ThoughtSpot Modeling Language (TML) to manage complex joins and enforce strict business rules at the architectural level. Traditional UI joins are great, but sometimes you need to ensure end-users only interact with a specific subset of data—like active subscribers—without giving them the ability to toggle filters. By moving your logic into TML, you create a "Join with Filters" that hardcodes business rules directly into your data model.

From "What Happened?" to "Why?" - AI Analytics Built for Marketers | Spotter

Are your marketing dashboards telling you what happened—but never why? Campaigns are underperforming, budgets are under scrutiny, and every answer seems to require a ticket to the data team. ThoughtSpot CMO, Micheline Nijmeh, just went hands-on with Spotter—the AI analyst built for marketers who need answers now, not next sprint. Spotter doesn’t just chat. It investigates your toughest marketing questions so you can move from guesswork to confidence: Why did pipeline drop this week?