Received Highest Strategy Category Score with Highest Score Possible in Solution Roadmap, Open Source Algorithms and Automation Workbench Criteria
MOUNTAIN VIEW, Calif., Sept. 6, 2018 /PRNewswire/ —H2O.ai, the open source leader in AI, today announced it has been named a Strong Performer in “The Forrester Wave™: Notebook-Based Predictive Analytics And Machine Learning Solutions, Q3 2018” report by Forrester Research, Inc. Out of the nine vendors evaluated, H2O.ai was recognized with the highest score in the strategy category based on solution roadmap and partners criteria.
Forrester notes that “H2O.ai’s future is automated machine learning” and its “bright future is in its Driverless AI product.” Based on Forrester’s research, H2O.ai received the top score possible across several categories: open source algorithms, solution roadmap, pricing and acquisition, partners and market awareness. In its assessment of H2O and Sparkling Water and Flow UI, Forrester reported “H2O.ai is best known for developing open source, distributed machine learning algorithms at a time (2011) when big data demanded them but no one else had them.” Its algorithms “still shine, and many other machine learning vendors integrate them into their solutions.”
The rise of open source machine learning has opened up immense opportunity in the enterprise’s ability to predict. With a code-first approach, notebook-based predictive analytics machine learning solutions are purpose-built for open source and have simplified the management of developing, training and deploying models.
The Forrester Wave™: Notebook-Based Predictive Analytics And Machine Learning Solutions, Q3 2018 report utilizes a 24-criteria evaluation of notebook-based predictive analytics and machine learning solution providers. The report found that these solutions are equipping the enterprise with scalable machine learning, while enabling data science teams to use notebooks without the hassle.
Source: Forrester Research, “The Forrester Wave™: Notebook-Based Predictive Analytics And Machine Learning Solutions, Q3 2018”, 5 September 2018.
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