What we're about

We’re excited to bring you the latest happenings in AI, Machine Learning, Deep Learning, Data Science and Big Data.

Who are we? We’re H2O.ai ( https://www.h2o.ai/ ), creators of the world’s leading open-source machine learning platform, used by hundreds of thousands of data scientists and 18,000 organizations around the world.

Our goal is to congregate with data enthusiasts and discuss trending topics in the world of AI. We also regularly invite esteemed industry influencers and thought leaders who talk shop on all things data science.

Sound like a good time?

Interested in H2O or our automatic machine learning platform, H2O Driverless AI? Learn more here: https://www.h2o.ai/download/

Already a rainmaker (H2O power user) or have questions? Please visit our StackOverflow page. ( http://stackoverflow.com/questions/tagged/h2o )

If you’d like to speak at future meetups, co-promote your meetup or inquire about sponsorship opportunities, please reach out to ian@h2o.ai.

Read about our code of conduct here: https://www.h2o.ai/code-of-conduct/

Thank you for advancing the future of data science,

H2O.ai Team

Follow us on Twitter: @h2oai

Upcoming events (2)

Virtual Panel: Improve Business Processes with AI Automated Workflows

Network event

Register here for our virtual panel: https://www.h2o.ai/h2o-live-january-19/?utm_medium=Webinar&utm_source=meetup&utm_campaign=


Core business processes in today’s digital world rely on documents and unstructured or semi-structured data that contain valuable information critical to business operations.

Without AI technology, the documents must be reviewed by people multiple times to determine the document type, which patient it pertains to, and what specifically must be done to further process or respond to the document’s contents.

Join us on Jan 19th to learn why The Center for Digital Health Innovation (CDHI) at the University of California, San Francisco (UCSF) partnered with H2O.ai and selected H2O Document AI to automate workflows, resulting in a significant reduction in administrative costs. Better data upfront means better decisions downstream resulting in improved patient care and outcomes.


Sri Ambati, Founder & CEO H2O.ai

Bob Rogers, Expert in Residence for AI at UCSF Center for Digital Health

Lu Chen, Lead Data Scientist at UCSF CDHI

Prashant Natarajan, VP Products & Strategy H2O.ai

Big Data & AI Toronto Webinar Series

Needs a location

Register here: https://www.bigmarker.com/bigdata-toronto/Big-Data-AI-Toronto-Follow-Up-Series?utm_bmcr_source=h2o

H2O.AI invites you to join us January 20 at 12PM EST for a webinar with Big Data & AI Toronto. Developing a modern AI application that can consume predictive models is one of the most time-consuming tasks in the data science lifecycle, yet many models never reach production. Join this webinar to learn how H2O.AI is making it possible for organizations to reduce the amount of time and resources involved in developing AI applications.

Speaker: Asghar Ghorbani, Lead Solutions Engineer EMEA

Asghar is currently a lead data scientist at H2O.ai. He has 6+ years of experience developing solutions to solve complex data science problems. In his career, Asghar has helped enable organizations in a broad spectrum of industries (including banking, fintech, insurance, manufacturing, and logistics) to implement machine learning solutions in high-ROI use-cases. Previously, Asghar held research and scientist roles at the National Metrology Institute of Germany and the Technical University in Munich.

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