Artem Keydunov
Co-founder & CEO, Cube. On 1 show, 1 appearance. The Shows tab opens the full record on each.
founderexecutiveengineer@keydunov ↗LinkedIn ↗cube.dev ↗
Artem Keydunov is the co-founder and CEO of Cube, a semantic layer and analytics platform for data applications and AI models. Prior to Cube, he co-founded Statsbot, a natural language Slack bot for data analytics.
1shows
1appearances
10statements
0resolved
0supported
0contradicted
Everything Artem Keydunov said on any show that made the record, most notable first. Each card names its show and opens the statement there.
Keydunov: Natural language AI will not consolidate the fragmented BI market
“I don't think it's going to be something that will change the BI market, you know, like something that will can take The BI market and make it more consolidated rather than, you know, like what we have right now. I think it's still re will remain fragmented.”
Keydunov: Modern data stack will not be dramatically disrupted by AI
“I don't see a lot of being compacted by AI specifically. I think, you know, that space is being compacted as much as any other space in terms of, yes, we'll have all this copilot capabilities, some of AI capabilities here and there, but I don't see anything so…”
Keydunov: AI will not make embedded analytics easier to monetize
“I don't think AI really going to change that just because it's using model, you just pay to open AI and that's it. Like everyone can do that, right? It's not much of a Competitive advantage. So it's going to be more like a commodity features that a lot of like…”
Keydunov: The semantic layer is the ideal repository for AI data context
“So our take of that and my take is that semantic layer is just really good place for this context to live because you need to give this context to the humans. You need to give that context to the AI system anyway, right? So that's why you define metric once an…”
Keydunov: Querying a semantic layer over raw SQL reduces LLM errors
“Now, the query, I believe, should be created against semantic layer, because it reduces the room for the error, because what usually happens is that your query to semantic layer would be very simple. It would be like, give me that metric grouped by that dimens…”
Keydunov: Semantic layer metrics should be managed as code via pull requests
“So I think we should treat our metrics and we are in semantic layer as a code, right? And then collaboration is a big part of it. You know, like if there are like a multiple teams that sort of have a different opinions, let them collaborate on the pull request…”
Keydunov: The modern data stack will enter a consolidation cycle
“I feel like right now we should go through the cycle of consolidation. And you know, like I mean, if Fivetrend and dbt merge, they can be alter-ex of a new generation or something like that. And you know, probably some ETL tool to there. But I feel it might ha…”
Keydunov: Production AI data apps require extensive Python scaffolding around models
“When we're talking about production level use cases, it's quite a lot of Python code around, you know, like, your model to make it work, to be honest. It's, like, It's not that magic that you just throw the model in it, like it can give you all this answers. F…”
Keydunov: Data-driven AI apps should start on a proper warehouse from day zero
“I would just recommend going through to warehouse as soon as possible. I think a lot of people feel that MySQL can be a warehouse, which can be maybe on like a lower scale, but you know, like, definitely not from a performance perspective. So just kind of havi…”
Keydunov: Large enterprises abandon embedded analytics vendors to build in-house
“If you look at the embedded analytics market, the bigger organization, the big gets, They're really more custom, you know, like it becomes, and at some point I see many organizations, they just stop using any vendor, and they just kind of build most of the stu…”
One line per show, most statements first. The link opens Artem's full record on that show: the calibration, argument clarity, speaking style and every statement made there.
| Show | Role there | Eps | Statements | Record | |
|---|---|---|---|---|---|
 LATENT SPACELEDGER | Co-founder & CEO, Cube | 1 | 10 | — | full record on Latent Space → |