Prediction Not checkable as stated
Douetteau: AI model quality won't be the key bottleneck in 2-5 years
“I, for instance, don't think that the problem two years or five years from now of agents will be relevance, per se, as in the quality of the models. The problem will be very boring stuff, such as, is it the right data, or have we actually updated the data for …”
Assertion Not checkable as stated
Douetteau: Generative AI lacks statistical consistency for business goal optimization
“Generative AI, as it is built today, is not meant to provide any consistency in terms of how statistically you reach a business goal through the output or through your predictions.”
Prediction Not checkable as stated
Douetteau: Enterprises will always need traditional predictive ML models
“You will still always need as an organization to be able to build those models because there are actual business decisions in them. Like actual risk profile with conscious decision in it.”
Insight
Douetteau: Adding data scientists does not bridge the enterprise business-data gap
“It should not be solved by adding more data scientists, because anyway, there's not enough data scientists, and if they don't understand the business, there's no point. It should be solved by finding a way for people from the business that are very much into d…”
What-if
Douetteau: Silicon Valley groupthink would have killed Dataiku's platform strategy
“A thing that it required then some will or independence of mind, which was easier for us because I'm not sure if I have had the will or the mind power to Keep this line of thinking if I had been in the Bay Area. Because around me, everyone would have had a dif…”
Insight
Douetteau: RAG tools and AI agent builders are becoming commoditized
“Ultimately lots of those technology can become, in isolation, pretty much commoditized. Meaning it's not hard to build RAG or agent builder.”
Prediction Not checkable as stated
Douetteau: Enterprises will run 500 to 1,000 AI agents
“Our vision is that enterprise at large will not have one agent, but like more, 500 or 1000 of them.”
Prediction Not checkable as stated
Douetteau: Point-solution LLM capabilities will become platform features
“All of those capabilities could be startups by themselves, but the same way we thought about the platform required for the enterprise back in the day, 10 years ago, we think that for the world of LLM, all of those capabilities will just become features of plat…”
Insight
Douetteau: Building a mature tech company takes 20 years
“I think it's at least 20. I mean, I think it's almost, it's probably very comparable to the number of years in order to get a kid in or even out of college, in and out of college, and maybe being being financially independent, you know? That's kind of like the…”
Prediction Not checkable as stated
Douetteau: Enterprises will realistically run hundreds of GenAI apps in production
“It's actually fairly realistic for an enterprise to have hundreds Of Generative AI applications in production at some point.”
Prediction Not checkable as stated
Dataiku CEO: Domain experts will not code anytime soon, despite AI Copilots
“And so I sympathize with, like, everyone that actually needs and have some domain expertise, but won't get into code anytime soon, even with Copilot or whatsoever, and that still need to leverage their data in order to get things done.”
Assertion Not checkable as stated
Enterprises prototype with GPT-4 but shift to cheaper self-hosted models for production
“We see quite a bit of usage patterns where people would start GPT-IV for design and then decide to move to Essentially something cheaper, like nixtral self-hosted or nixtral self-hosted when moving to production.”
Insight
Git and code environments prevent business stakeholders from collaborating on data
“Git and coding environment, remove any possibility to have a meaningful discussion with people coming from the business, just because they won't get into code.”
Prediction Not checkable as stated
Most companies will run hundreds of AI automation systems within ten years
“I think that in the next five to 10 years, it will be actually Universally mainstream, as in most companies, a very vast majority of companies will have hundreds, if not thousands of automated systems that automate ordering and some form of cash management and…”
Insight
Technical founders should not attempt to become sales or communications experts
“When you come from a technical technical background, you won't become like a service person or a communication person. They want, and maybe it's actually not an objective to become. So you have to stay a little bit what you are, because ultimately you have to …”
Prediction Not checkable as stated
Douetteau: Enterprises won't use five to eight data tools in 10 years
“There is no way for the enterprise in the long term, if you move forward and put yourself from a, if you go forward by 10 years, that you have like five, six, seven, eight different tools that you use to manage the data life cycle. It will make no sense.”
Opinion
Douetteau: Databricks is mostly focused on data infrastructure and placement
“Companies such as the Databricks of the world are mostly about infrastructure and actually helping you put data In a given location.”
Opinion
Douetteau: Best-of-breed enterprise software point solutions are overrated
“I think best of breed is, like, so overrated.”
Opinion
Douetteau: Airflow and JupyterLab don't go far enough for enterprise data science
“Those two projects are, like, very interesting, but to some extent don't go far enough, because what you really want, at the end of the day, is the ability to capture, within the platform, everything related to, ah, to your data science project.”
Insight
Douetteau: Companies cannot hire a data scientist without already having one
“You can't hire a data scientist without a data scientist, meaning you don't even know what the hiring process is.”
Opinion
Douetteau: Dataiku aims to replace SAS Institute because "I don't like SAS"
“I consider my main competitor to be the SAS, SAS Institute, meaning, ah, actually that's the company I want to replace, because I don't like SAS.”
Prediction Not checkable as stated
Douetteau: Future data ops roles will bridge system scalability and ML metrics
“I think a challenge would be in the future to have, like specialized people for operations on data that will need to understand well scalability issues from a system administrator perspective, but also what F-one score is, because they will need to be, ah, sma…”
Assertion Not checkable as stated
Douetteau: Dataiku was founded to address a global shortage of data scientists
“You had a need for the enterprise to do more in terms of data science, An ML, but a scale gap, because there was not enough data scientists on planet Earth in order to fill that gap.”
Disclosure
Douetteau: Dataiku intentionally chose not to sell aggressively to tech companies
“But our perspective was that, how do we solve for the problem of every other companies, which will not follow the same route, which cannot follow the same route, and take the perspective of, like, we will never try to sell aggressively to tech companies, per s…”
