Systems | Development | Analytics | API | Testing

Debugging slow SQL queries shouldn't mean drowning in thousands of lines of JSON. In this video, we test the new Impala AI Query Profile Analyzer natively in the web UI. Watch how generative AI investigates query execution, tests multiple performance hypotheses, and finds the exact 1-line SQL fix to eliminate extreme data skew across 27 million rows.

Spotter answers from your data warehouse. The context behind those answers lives in the apps your team already uses, so we made connecting them a lot simpler with the Spotter connector marketplace, now GA in ThoughtSpot 26.10. In this walkthrough, you’ll learn how to.

Developer flexibility. The Modern Script Editor and a new VS Code extension bring Qlik development into the tools your developers already use. Modern Script Editor available in Public Preview now, and general availability coming soon in Q4, 2026. VS Code extension coming soon in Q4, 2026.

Agentic Data Stewardship keeps a human in charge while agents do the legwork. Agents use data profiling results and validation rules to proactively identify data quality issues and recommend fixes, and your data stewards can decide which fixes to approve or refine each action before they are applied. The result is higher stewardship productivity, more accurate data, and a shorter proactive path from raw data to something people can trust and use, while meeting governance.

Learn more about the Qlik October Product Recap: https://www.qlik.com/us/product-releases/2026/october

Your governed data is only useful if people can access it where decisions actually happen. For most teams, that's not a BI tool… it's Microsoft Teams. In this demo, watch how Spotter, ThoughtSpot's AI analyst, works directly inside Teams: in direct messages, group chats, and collaborative channels. Ask a question in natural language, and Spotter pulls from your governed data models to return an answer, right in the thread. Every answer names the model it came from, so anyone can verify the number instead of taking it on faith.

Most data questions come up in Slack. Most data answers require leaving it. In this demo, watch how Spotter, ThoughtSpot's AI analyst, works directly inside your Slack workspace, in direct messages, threads, and public channels. Ask a question in natural language, and Spotter pulls from your governed data models to return an answer with high-level insights and relevant artifacts (images, PDFs, and CSVs), right where the conversation is already happening.

You can talk an AI model into breaking its own rules. Sometimes, all it takes is knowing what to say. Dr. Peter Garraghan has spent years studying how attackers exploit AI systems, and some of his findings are surprisingly human. AI models can be manipulated through language, using techniques that resemble the social engineering tactics cybersecurity professionals have dealt with for decades.