Examining Top Data Science Firms within the 2021 Forbes AI 50

The 2021 Forbes AI 50 acknowledges the highest synthetic intelligence firms on the earth. Our editors study which information science companies warrant further consideration.

The 2021 Forbes AI 50 acknowledges the perfect personal synthetic intelligence firms on the earth. Ranging from quite a lot of industries together with human assets, healthcare, transportation and information analytics, the annual itemizing makes point out of practitioners utilizing AI in distinctive methods and producing actual enterprise impression. As a part of the choice course of for the listing, Forbes’ information associate, Meritech Capital, obtained a whole bunch of submissions from the highest AI startups.

In order to qualify for inclusion, firms wanted to show that applied sciences like machine studying, pure language processing and pc imaginative and prescient make up the core of their product. Once vetted, every AI firm was ranked primarily based on income achieve, profitability, inside development, buyer statistics, and funding and valuations. Their scores had been tabulated to supply the ultimate ranks, which Forbes has organized in ascending order of valuation.

The editors at Solutions Review have perused the 2021 Forbes AI 50 and recognized these prime information science companies as warranting further consideration. Companies are listed within the order Forbes has them ranked.


Databricks affords a cloud and Apache Spark-based unified analytics platform that mixes information engineering and information science performance. The product leverages an array of open-source languages and consists of proprietary options for operationalization, efficiency, and real-time enablement on Amazon Web Services. A Data Science Workspace permits customers to discover information and construct fashions collaboratively. It additionally gives one-click entry to preconfigured ML environments for augmented machine studying with standard frameworks. 


Dataiku affords a sophisticated analytics answer that enables organizations to create their very own information instruments. The firm’s flagship product encompasses a team-based consumer interface for each information analysts and information scientists. Dataiku’s unified framework for improvement and deployment gives quick entry to all of the options wanted to design information instruments from scratch. Users can then apply machine studying and information science methods to construct and deploy predictive information flows. 


DataRobotic affords an enterprise AI platform that automates the end-to-end course of for constructing, deploying, and sustaining AI. The product is powered by open-source algorithms and will be leveraged on-prem, within the cloud or as a fully-managed AI service. DataRobotic consists of a number of impartial however totally built-in instruments (Paxata Data Preparation, Automated Machine Learning, Automated Time Series, MLOps, and AI purposes), and every will be deployed in a number of methods to match enterprise wants and IT necessities.

Domino Data Lab

Domino Data Lab affords an enterprise information science platform that enables information scientists to construct and run predictive fashions. The product helps organizations with the event and supply of those fashions through infrastructure automation and collaboration. Domino gives customers entry to a knowledge science Workbench that gives open supply and industrial instruments for batch experiments, in addition to Model Delivery to allow them to publish APIs and net apps or schedule stories.

Read the full 2021 Forbes AI 50 report.

Timothy King

Tim is Solutions Review’s Editorial Director and leads protection on large information, enterprise intelligence, and information analytics. A 2017 and 2018 Most Influential Business Journalist and 2021 “Who’s Who” in information administration and information integration, Tim is a acknowledged influencer and thought chief in enterprise enterprise software program. Reach him through tking at solutionsreview dot com.

Timothy King

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