Join us in this exciting episode as we dive into the world of enterprise AI with Florian Douetteau, co-founder and CEO of Dataiku, the leading enterprise AI platform targeting Global 2000 companies.
Since its founding in 2013, Dataiku has been at the forefront of democratizing AI in the enterprise. We'll explore the current state of deployment of AI in businesses around the world, dive deep into the differences between generative AI and traditional AI, explore emerging Generative AI uses cases in the enterprise, and get a sneak peek into Dataiku's latest breakthrough, the LLM Mesh, aimed at simplifying the use of multiple Generative AI models for companies. We'll also tackle the big challenges companies face when adopting AI, from managing costs to dealing with the uncertainties of Generative AI.
This episode was recorded live at a recent Data Driven NYC, the monthly in-person event organized by FirstMark since 2011, hosted this month by our partners at Foursquare, the location intelligence company, at their beautiful headquarters.
Dataiku
Website - https://www.dataiku.com/
Twitter - https://twitter.com/dataiku
Florian Douetteau
LinkedIn - https://www.linkedin.com/in/fdouetteau
Twitter - https://twitter.com/fdouetteau
FIRSTMARK
Website - https://firstmark.com
Twitter - https://twitter.com/FirstMarkCap
Matt Turck (Managing Director)
LinkedIn - https://www.linkedin.com/in/turck
Twitter - https://twitter.com/mattturck
Foursquare
Website - https://location.foursquare.com
Twitter - https://twitter.com/Foursquare
(00:00) Intro
(01:09) What is Dataiku?
(02:03) Is the market ready for AI?
(04:33) Traditional AI vs Generative AI
(08:33) What a company should know before diving into Generative AI?
(10:18) Cost of Generative AI adoption
(12:10) What blocks the AI adoption?
(14:31) Dataiku product tour
(16:34) How to build one product for different audiences
(17:45) LLM Mesh: what is it?
(21:10) Evolution of platform building with Gen AI
(22:17) Enterprise AI motion in 2024
(23:28) Dataiku's partnerships
(24:24) Being platform-first as a startup
