Forrester Cites Dataiku as “Strong ML Performer”

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A new industry report highlighted the centralized data platform Dataiku as a strong performer in the arena of large-scale data science and machine learning

A new industry report highlighted the centralized data platform Dataiku as a strong performer in the arena of large-scale data science and machine learning (ML).

Dataiku was showcased in the recently released report “The Forrester Wave: Multimodal Predictive Analytics And Machine Learning Solutions, Q3 2018.”

New York-headquartered Dataiku is a centralized data platform that enables scalable Enterprise AI. Rather than acting as a specialized tool for specific teams or project segments, Dataiku aims to provide an end-to-end solution that includes all steps in the data-to-insights process.

See also: Google flexes machine learning muscle to drive real-time analytics

The Forrester report opined that “Dataiku is becoming the multimodal force majeure” in machine learning and large-scale data science.

“We’re proud to be recognized as a strong performer by Forrester Research, and for the work we’ve done to make large-scale data science and machine learning (including deep learning and AI) more accessible to the enterprise, both in terms of self-service analytics and operationalization of models in a production environment,” said Dataiku CEO Florian Douetteau in a news release. “And with our latest release, Dataiku 5.0, we’re looking forward to bringing Enterprise AI within reach of even more businesses, helping them get real value from their data.”

The recently released version Dataiku 5.0 includes full containerization capabilities with Kubernetes and Docker. It also improves AutoML, uses deep learning capabilities with its supported libraries, and introduces new documentation features that allow distributed data teams to more efficiently build applications.

Dataiku’s platform is employed by more than 200 global clients like GE, Unilever, and Sephora, KUKA in such sectors as manufacturing, pharmaceuticals, retail, e-commerce, healthcare, finance, and transportation.

About Donal Power

Donal Power has over 20 years experience as a technical writer, reporter and editor for the Economist in Europe, on Wall Street, on Bay Street and in Asia. Subject expertise includes: AI, Smart Cities, IoT, Real Time Analytics, Fintech, Economics, Cannabis Legalization, Blockchain, Open Data, Health Technology and GovTech.

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