Dataiku buying intent
21 tracked signals — top 15 topics below — Data and Sales are carrying most of it.
Attention by team
taxonomy_intent_rollup × social_profile.roleEvery tracked signal from a Dataiku employee, placed by the team they sit in and the theme they engaged with. Darker means more concentrated attention.
Topics being researched
30-day windowAll tracked topics, ranked by signal volume. Confidence is the classifier's certainty that the signal belongs to this topic.
3d ago
29d ago
28d ago
29d ago
29d ago
29d ago
28d ago
28d ago
26d ago
29d ago
29d ago
26d ago
29d ago
21d ago
26d ago
Need intent for a specific topic or industry?
We track the full taxonomy across every account in the graph — including themes not shown on this page.
Who to contact at Dataiku
verified title on filePeople at Dataiku whose own activity produced these signals. Names are withheld pending a consent decision; titles, seniority and topic are real and free to browse.
Top accounts researching Dataiku
names withheld on the public pageCompanies whose people mention Dataiku in their own activity. Account names are withheld here; not yet classified as implementation partner vs. genuine prospective buyer.
No buyer signal yet for this account
Nobody in the graph is currently discussing this company by name in a way we can attribute to a specific employer.
Buyer profile
company size · seniorityHow big those accounts are, and who inside them is senior enough to matter. Competitor products still not yet computed for this account.
What's been said
public posts mentioning DataikuReal public activity that surfaced Dataiku in a tracked topic. Not a sentiment score — just what people actually wrote.
These days, when I say "agent," I say it in ✌🏻quotes✌🏻. Not to be contrarian, but because the word feels transient and ill-defined, and I keep coming back to that at events like HumanX last week. Transient in etymology. "Agent" is a placeholder borrowed for an enormously wide category of software capabilities. "Website" was a word like that in 1992, technically accurate, practically useless. What actually transformed industries were blog, e-commerce, social media, landing page. The generic term was just the scaffolding. The specific forms were the revolution. "Agent" is boring. What comes after it won't be. Ill-defined in implementation. From a technical standpoint, an agent is an LLM-based loop with state and tools that give it some degree of autonomy. Fine. But that definition buries the real thing happening: you're replacing a human interacting with software... with a piece of software that is not fully deterministic. The intrinsic value is human replacement for that task. The intrinsic risk is the X : the unknown behavior of a non-deterministic system acting in the world. We're essentially substituting something kind of predictable (a person following a process) with something probabilistic (a model making calls). Which one is easier to control is a longer discussion - but that's a profound shift, and beyond its current implementation, that's what AI really is. I'm not sure "agent" carries the weight of it. So yes, ✌🏻agents✌🏻 For now. Thanks Gautier Cloix and Sabrina Ortiz for the convo Thanks Stefan Weitz for the great event.
AI Days is bringing the data and AI community together across cities around the world! Practitioners joined us for hands-on sessions, technical deep dives, and demos showing how teams are building AI applications on the Databricks Data Intelligence Platform. Across each stop, attendees explore how to: • Build and deploy AI agents with Agent Bricks • Power applications with Lakebase Postgres • Unlock insights using natural language with Genie Thank you to our speakers, partners, and everyone who joined us to learn and connect. More cities are on the way. Find the next AI Days near you: https://lnkd.in/e8ikDZR8
Taking a decision is one hour. Putting it in place is like two years.