Cardboard wings. Lawnmower engine. Way too much confidence.
Some things shouldn't be DIY projects. Like your AI analytics.
Don't DIY. Embed with ThoughtSpot.
Will he fly? Find out.
https://t.co/k1cZ2Dramf
(This video is AI generated ๐ )
#EmbeddedAnalytics
#1 in embedded AI analytics. ๐ฅ
@NucleusResearch 2026 Embedded Analytics Value Matrix puts ThoughtSpot furthest upper-right in the Leaders quadrant, out of 20 vendors.
ThoughtSpot Embedded provides the semantic layer, security, and multi-tenancy capabilities, so your engineers can focus on building differentiated experiences.
Get the report: https://t.co/jedIO7S2Fk
Every intelligent product has three layers. But most teams treat them as one build decision, and then end up owning infrastructure that consumes the roadmap.
We break down the framework that changes how product leaders think about what to build, what to white-label, and what to never own.
Learn more in our latest blog: https://t.co/AGpJedAgjl
The gap between wanting an AI analyst and your team actually using one is usually where momentum dies.
Spotter Analysts change that. Describe the job, scope the data, set the starting questions.
See how it works: https://t.co/dl2I0j5lmY
โTrend or seasonal blip?โ Nobody in the thread can answer, so the plan gets anchored to the most confident opinion in the room.
But the data existed: modeled, governed, correct, but sitting in the warehouse.
Spotter, our agentic analyst, is now in the room where the decision happens, running as an app inside @Slack and @MicrosoftTeams.
Details here: https://t.co/Cf7GDZrYli
The biggest retail moments of the year are coming fast. And consumers are walking in with a clear set of expectations about what AI should and shouldn't do.
Our โTrust, Testedโ report breaks down exactly where the trust gap is widest, what drives consumers away, and what the retailers closing that gap are doing differently: https://t.co/NjhlTDnQUN
Multiplayer AI, from a customer's perspective. ๐
At Product Spotlight, Pedro from enmacc shared how his team is building with AgentSpot and thinking about bringing those agents to more people across the business.
๐ฅ If you missed out on this event, you can catch the full recap here: https://t.co/afKRQMpMOz
What if everyone on your team could get trusted answers from your @databricks data without SQL or a ticket?
Weโll be at the #DataAIWorldTour to show what that looks like live.
๐ Chicago: October 29
๐ New York City: November 19
Free to attend, registration required: https://t.co/ew6SRohKL8
AI anxiety is not just coming from employees. Itโs also coming from the leaders responsible for making it work.
@karkhanis joined @KathleenWalch on the @PMInstitute's AI Today Podcast on what closes the gap between AI ambition and AI execution: trust, outcome focus, and governance that accelerates.
https://t.co/5w6QlVEGIj
It takes a village (and a whole lot of teamwork ๐).
A little appreciation for some of the crew behind yesterday's AgentSpot Product Spotlight!
Huge thanks to everyone who helped make it happen, including the many faces not pictured here. ๐
What if your teammates could join the same conversation you're having with your AI agent? ๐ฒ
At today's Product Spotlight, Franรงois Lopitaux talked about how @AgentSpotxAI brings people and agents together through shared conversations and the ability to build, share, and customize agents across teams.
See for yourself and try AgentSpot free: https://t.co/094VYnCQJH
Building an AI agent is one thing. Making it useful across an entire business is another.
ThoughtSpot's Franรงois Lopitaux spoke with TechTarget about how AgentSpot brings shared context, collaboration, and governance to enterprise AI. ๐ค
There's a lot more to enterprise AI than just building an agent. Read the full conversation ๐
https://t.co/f08xqtoaKs
The next era of enterprise AI is here. ๐
Introducing AgentSpot: Multiplayer AI that brings people and agents together to build, share, and scale AI-powered work across the business.
Read the announcement ๐
https://t.co/ac5PwD1RYe
What could your team build with AgentSpot? Find out today. ๐ก
Join Product Spotlight at 8 a.m. PT / 10 a.m. CT / 4 p.m. BST for real demos and a live building lab.
Donโt miss your chance to register before we begin: https://t.co/ro72AliFNt
Date night: the table collapsed. ๐ฏ๏ธ
Many, many tokens later: collapsed again. ๐ฝ๏ธ
Daveโs talent isnโt the problem. Patching the same build forever is. Same goes for AI analytics in your product.
Build what differentiates you. https://t.co/SUnVWklFyN
(This video is AI generated ๐)
#EmbeddedAnalytics #DIYDave
Nearly an hour of revenue accounting work. Now done in minutes.
Built with @AgentSpotxAI, using an agent a teammate had already created.
That's the power of #MultiplayerAI.
See it in action at tomorrow's Product Spotlight ๐
https://t.co/oU6A8holZY
Almost every AI conversation eventually turns into a model conversation.
Three episodes of #TheDataAndAIChief with @GrantThornton, @Ligentia, @SwireCC make a different case.
The model was almost never the subject. Trust was.
See takeaways from their conversations here: https://t.co/LqckZng3wD
โWhy did five engines answer my question differently?โ
In our BIRD analysis (Spotter, our agentic analyst, vs four competing agentic analytics engines), every engine answered the same questions over the same source data. Yet no two engines saw the same data model.
See how Spotter approaches simple, moderate, and challenging questions here: https://t.co/CTZKkaemGI
The next era of AI isn't about giving everyone their own chatbot.
It's about teams building, sharing, and reusing agents that work with their business context.
That's the vision behind @AgentSpotxAI and Multiplayer AI.
Read the manifesto ๐
https://t.co/behMMVGq30