Embedded analytics in 30 minutes: watch us embed an AI analyst and branded analytics into an app with ThoughtSpot's SpotterCode in Claude Code. Live Thursday, October 29 8am PT · 11am ET · 3pm GMT · 8:30pm IST What you'll see: Every step is real code against ThoughtSpot's Visual Embed SDK and REST APIs. No ThoughtSpot experience needed. Speaker: John Hegele, Principal Technical Architect, ThoughtSpot.

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.

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.

How do you create a monthly executive report with AI? Run the Executive Decision Brief skill in Databox. Genie, the Databox AI Analyst, reads your connected metrics and writes a one-page leadership brief: the executive takeaway, wins, risks, contradictions between metrics, and three "Should we..." decisions to discuss. It reads in about 90 seconds, and the same skill runs in Claude through Databox MCP.

How do you create a weekly GA4 report with AI? Run the free GA4 Website Traffic & Performance Report skill in Databox. Genie, the Databox AI Analyst, reads your live Google Analytics 4 data and writes the whole weekly report: the verdict, channels, landing pages, conversions, trends and anomaly flags. The same skill also runs in Claude through Databox MCP. In this video: Chapters Key terms Tools and data sources shown: Google Analytics 4, Facebook Ads, Asana (Asana MCP connector), Slack, Claude with Databox MCP. All data is a fictional demo account.

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.