Qlik MCP - Quick Demo
A quick demo of simple scenatio using Qlik MCP Server and Anthropic Claude as the LLM AI client. Where you should go next.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
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.
Accelerating AI Outcomes Through the Arrow + Cloudera Alliance
Discover how Cloudera brings data anywhere, helps channel partners become trusted experts for their accounts, drive business growth, and accelerate their customers’ AI journey.
Getting Started with Kai: Your First 5 Minutes
If you've just enabled Kai in your Keboola project, you might be wondering: "Okay, now what?" This guide walks you through your first conversation with Kai, following the same steps I demonstrate in my introduction video.
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.
Ep 61 | The AI Shake-Up Telecom Can't Ignore with Mike O'Sullivan
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.
ETL Testing: Best Practices, Tools & Frameworks 2026
Every business decision relies on data—and bad data leads to bad decisions. ETL testing validates that your data extraction, transformation, and loading processes deliver accurate, complete, and consistent information to your analytics platforms. In 2026, the stakes have never been higher for organizations struggling with manual data validation that automated testing could eliminate.
Enterprise Data Management: Tools, Strategy & Best Practices 2026
Despite widespread awareness of data governance principles, 61% of organizations still list data quality as a top challenge. The gap between knowing what enterprise data management (EDM) requires and actually executing it continues to widen as data volumes explode and AI initiatives demand cleaner, more reliable information.
Reimagine Data Prep for the Agentic Era with Analyst Studio
One year ago, we introduced Analyst Studio, ThoughtSpot’s unified workspace for preparing and managing AI-ready data, with a vision: to transform analysts from report generators into business catalysts. SQL, Python, and visual analysis finally worked together in one workspace, letting data teams move seamlessly between ad-hoc queries and advanced modeling, all while preparing data for the AI revolution we knew was coming.