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H2O.ai Placed Furthest in Completeness of Vision in 2021 Gartner Data Science and Machine Learning Magic Quadrant in the Visionaries Quadrant. -- Copy
by Read Maloney | November 18, 2022 Business , Gartner , H2O Hydrogen Torch

At H2O.ai, our mission is to democratize AI, and we believe driving value from data is a team sport. Data needs to be organized and prepared, often by data engineers, and then models need to be built by data scientists. With models built, they need to be put into production and maintained by IT and DevOps personnel. Finally, these models...

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H2O.ai logra gran posicionamiento en integridad de visión en el cuadrante Visionarios del Cuadrante Mágico de Gartner 2021 para Data Science y Machine Learning
by Read Maloney | April 11, 2021 Business , Community , Gartner , H2O AI Cloud

En H2O.ai, nuestra misión es democratizar la IA y creemos que impulsar el valor de los datos es un esfuerzo de equipo. A menudo, los ingenieros de datos deben organizar y preparar los datos y luego los científicos de datos deben crear modelos. Los modelos, una vez creados, deben ponerse en producción y el personal de TI y de DevOps debe m...

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H2O.ai é a mais avançada por sua capacidade de execução no quadrante dos visionários no relatório do Gartner de Ciências de Dados e Machine Learning em 2021
by Read Maloney | March 16, 2021 Business , Community , Gartner , H2O AI Cloud

*Este artigo foi originalmente escrito em inglês pelo SVP de Marketing, Read Maloney, e traduzido para português por Bruna Smith. Na H2O.ai, nossa missão é democratizar a Inteligência Artificial e acreditamos que o valor agregado, gerado a partir dos dados, é um trabalho em equipe. Os dados devem ser organizados e preparados, geralmente ...

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H2O.ai Placed Furthest in Completeness of Vision in 2021 Gartner Data Science and Machine Learning Magic Quadrant in the Visionaries Quadrant.
by Read Maloney | March 09, 2021 Business , Gartner , H2O Hydrogen Torch

At H2O.ai, our mission is to democratize AI, and we believe driving value from data is a team sport. Data needs to be organized and prepared, often by data engineers, and then models need to be built by data scientists. With models built, they need to be put into production and maintained by IT and DevOps personnel. Finally, these models...

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Insights From the New 2020 Gartner Magic Quadrant For Cloud AI Developer Services

We are excited to be named a Visionary in the new Gartner Magic Quadrant for Cloud AI Developer Services (Feb 2020), and have been recognized for both our completeness of vision and ability to execute in the emerging market for cloud-hosted artificial intelligence (AI) services for application developers. This is the second Gartner MQ tha...

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Key Takeaways from the 2020 Gartner Magic Quadrant for Data Science and Machine Learning

We are named a Visionary in the Gartner Magic Quadrant for Data Science and Machine Learning Platforms (Feb 2020). We have been positioned furthest to the right for completeness of vision among all the vendors evaluated in the quadrant. So let’s walk you through the key strengths of our machine learning platforms. Automatic Machine Learn...

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Key Takeaways from the Gartner Magic Quadrant For Data Science & Machine Learning

The Gartner Magic Quadrant for Data Science and Machine Learning Platforms (Jan 2019) is out and H2O.ai has been named a Visionary. The Gartner MQ evaluates platforms that enable expert data scientists, citizen data scientists and application developers to create, deploy and manage their own advanced analytic models.H2O.ai Key Highlights...

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Congratulations - H2O is a leader in the Gartner Magic Quadrant for Data Science and Machine Learning Platforms
by H2O.ai Team | February 25, 2018 Community , Customers , Gartner , H2O-3

Congratulations – Thanks to the support of our customer community over the past years, H2O.ai is a leader and one with the most completeness of vision in Gartner Magic Quadrant for Data Science and Machine Learning Platforms. It is an ecosystem we dedicated a good part of this decade to open up and spring. This is testimony to the incr...

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