CORRECTING and REPLACING H2O.ai Announces Availability of New Flow and Play Products at H2O World

Product names should read H2O Flow (instead of H2O.Flow) and H2O Play (instead of H2O.Play).

The corrected release reads:

H2O.AI ANNOUNCES AVAILABILITY OF NEW FLOW AND PLAY PRODUCTS AT H2O WORLD

Company Embraces Open Source Artificial Intelligence Community With First Customer Event

H2O.ai, the leading provider of machine learning and open source machine learning software, today announced the public availability of H2O Flow and H2O Play - two unique platforms which increase speed of implementation and data science workflow development. The new products were announced by CEO SriSatash Ambati before the largest gathering of H2O users, customers and its open source community, as he opened day two of the company’s inaugural H2O World conference, held at the Computer History Museum in Mountain View, Calif.

"Data is the clay for decision making, and we want to make your job easier, providing scale, speed and accuracy without data loss," Ambati tells the attendees. "With Flow and Play, we're fundamentally expanding the core population of users who can experience machine learning."

A Whole New Way of Managing Data Science WorkFLOWS

H2O Flow is a web-based interactive computational environment where you can combine code execution, text, mathematics, plots and rich media into a single document, much like IPython Notebooks. Unlike traditional interactive computing environments output text, Flow utilizes a "hybrid" user interface that seamlessly blends a command-line shell with a modern point-and-click graphical user interface for every operation in H2O. Flow uniquely simplifies capturing, replaying, annotating, sharing and presenting analysis workflows and uses the bog-standard H2O REST API under the hood; so not only can you can access and manipulate raw H2O objects under the hood, you can also build custom GUI applications using H2O's REST API, right from within Flow.

On the Fly Deployment

H2O Play presents the first private cloud instance for quickly deploying open source machine learning at petabyte scale that is completely agnostic of the underlying architecture. This allows possible to train predictive models with all of your data quickly and easily without the overhead of managing hardware and distributed systems. Play also comes preloaded with a range of algorithms, supporting actions across S3, HDFS and local data sets.

To sign up for H2O Play, visit http://play.h2o.ai.

About H2O World

Showcasing an all-star cast of machine learning and artificial intelligence experts and renowned data scientists, the H2O World brings together its broad Open Source community to explore how the world’s most innovative companies are building their own digital brains. From building predictive models and run machine learning algorithms in Big Data environments, the event provides core insights into practical data science applications, including use models in adtech, transportation, marketing research, fraud detection, behavioral analytics, and investment trends in AI.

This year’s event featured world-renowned leaders from some of the worlds most innovative companies and institutions, including:

• Alex Tellez, Robert Half International
• Chris Pouliot, Lyft
• Chris Severs, Ph.D., eBay
• Hassan Namarvar, ShareThis
• Lou Carvalheira, Cisco
• Josh Bloch, Google
• Nachum Shacham, Ph.D., PayPal
• Trevor Hastie, Stanford
• Venkatesh Ramanathan, PayPal
• John Chambers, Founder of S core R member
• Erin LeDell, Ph.D., UC Berkeley
• Sandy Ryza, Cloudera
• Ofer Mendelevitch, HortonWorks
• Josh Bloch, Google
• Jai Ranganathan, Cloudera
• Sungwook Yoon, MapR
• Soam Acharya, AltiScale
• Simon Zhang, LinkedIn

About H2O.ai

H2O is for data scientists and application developers who need scalable and fast machine learning. H2O is an open source predictive analytics platform. Unlike traditional analytics tools, H2O provides a combination of extraordinary math and high performance parallel processing with unrivaled ease of use. H2O speaks the language of data science with support for R, Python, Scala, Java and a robust REST API. Smart business applications are powered by H2O’s NanoFastTM Scoring Engine. Learn more by going to http://www.h2o.ai and contact us for more information.

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