An independent orchestration layer enabling enterprises to build, deploy, and govern AI systems at scale for the world’s leading companies Introducing three first-to-market products: a ...

NEW YORK--(BUSINESS WIRE)--Dataiku, one of the world’s leading AI and machine learning platforms, was recognized by Snowflake, the Data Cloud company, as Data Science Partner of the Year this week at ...

NEW YORK--(BUSINESS WIRE)--Dataiku, the world’s leading platform for Everyday AI, today announced $400M in Series E investment led by Tiger Global, with participation from several existing investors, ...

Artificial intelligence data analytics startup Dataiku Inc. today announced the launch of Dataiku Stories, a generative artificial intelligence-powered data storytelling solution that allows ...

Dataiku’s end-to-end machine learning platform combines visual tools, notebooks, and code to address the needs of data scientists, data engineers, business analysts, and AI consumers. Dataiku Data ...

NEW YORK, July 2, 2019 /PRNewswire/ -- Dataiku, one of the world's leading Enterprise AI and machine learning platforms, concluded its third annual EGG NYC conference at Springs Studios in New York, ...

Artificial intelligence data analytics startup Dataiku Inc. is evolving its popular data science studio to focus more on the development of trusted and measurable autonomous AI agents. The startup ...

NEW YORK, June 14, 2021 — Today Dataiku announced the launch of Dataiku Online, which makes their AI and machine learning platform available as an online service for smaller, more agile organizations.

Seven-year-old enterprise AI company Dataiku reached Unicorn status last year when Capital G (Google Capital) participated in a secondary offering, bringing Dataiku’s valuation to $1.4B. Now, armed ...

Enterprise AI company Dataiku has announced some changes in its capitalization table. CapitalG (formerly Google Capital), Alphabet’s growth equity investment fund, is investing in the startup by ...

As enterprises accelerate the rollout of generative AI and autonomous agents, many are finding that traditional governance models are failing to keep pace with the speed, scale, and risk of modern AI.