UPDATED 17:30 EST / JANUARY 25 2023

Jed Dougherty AWS re:Invent 2022 BIG DATA

Dataiku aims to teach everyone how to analyze data with machine learning platform

Putting data in the hands of every business user has become fundamental in today’s enterprise ecosystem.

As an end-to-end data science and machine learning platform, Dataiku enables any professional to be a data analyst for better decision-making through democratization, according to Jed Dougherty (pictured), vice president of platform strategy at Dataiku.

“I don’t know if data analysts are going away; I think everybody’s just going to have to become a bit more of one,” Dougherty said. “Just like how Excel taught everybody how to use the spreadsheet, in the future, in the next five, 10 years, the democratization of AI means that tools like Dataiku and other data science tools are going to teach everybody how to analyze data.”

Dougherty spoke with theCUBE industry analyst Lisa Martin at the recent AWS re:Invent conference, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed how Dataiku facilitates data democratization so that anyone can be a data analyst. (* Disclosure below.)

Tackling the writing code nightmare

Dataiku offers a friendly platform for everyday users, according to Dougherty, who said this is achieved by eliminating the challenge of writing code.

“Dataiku is still going to be running models on some big fancy Spark server, but we’re really obfuscating the challenge of writing code away from the user,” he pointed out. “So we target low-code, no-code and high-code users all working together in a collaborative platform.”

Since enterprises prefer buying solutions to tools, Dataiku offers a pre-built vertical solution. Therefore, the company’s partnership with Amazon Web Services Inc. makes this a reality, Dougherty pointed out.

“We take everything from data ingestion, pipelining of that data, bringing it all together — something that’s useful for building models, deploying those models and then managing your [machine learning operations] workflow,” he stated. “So, really, all the way across. And we sit on top of, basically, tons of different AWS stack, as well as lots of the partners that are here today.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of AWS re:Invent:

(* Disclosure: This is an unsponsored editorial segment. However, theCUBE is a paid media partner for AWS re:Invent. Amazon Web Services Inc. and other sponsors of theCUBE’s event coverage have no editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE

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