Healthcare, Insurance and Retail Customers Realize Benefits of Automatic Machine Learning
NEW YORK, May 1, 2018 /PRNewswire/ — O’Reilly AI Conference — H2O.ai, the open leader in AI, today announced a new release of its award-winning automated machine learning platform Driverless AI, with key enhancements that continue to democratize AI for the enterprise. The latest innovations in Driverless AI include accelerated automatic pipelines of feature engineering and machine learning to generate highly optimized, low-latency production-ready code for deployment on the edge. This is ideal for enterprises that need to deploy low-latency scoring engines that can deliver submillisecond inferencing for real-time applications to a range of devices.
“H2O.ai is doing a great job in enhancing the product at such a rapid rate. Each release provides significant increases in usability and value. Driverless AI gives startups like ours an effective alternative to large data science teams and their outsized cost. It can dramatically reduce the time needed to deliver first-rate ML models for a wide range of markets”
Marc Stein
CEO at Underwrite.ai
Driverless AI combines open source frameworks with the power of GPUs to create an extensible platform to build data science recipes that solve an entire class of problems for the industry. In addition, protection from over-fitting and signal leakage enables users to build models and deploy pipelines safely. Automatic visualization (AutoViz) and model interpretability (MLI) are included in Driverless AI to provide transparency and explainability.
“Automatic Pipelines with Driverless AI brings advanced AI techniques into the hands of every engineer and data scientist in the enterprise. Essentially, it gives every enterprise the power of an expert data scientist in a box”
Sri Ambati
CEO at H2O.ai
“Our mission to democratize AI starts by making training and inference faster, cheaper, easier and safer. With AutoViz and machine learning interpretability, Driverless AI is building trust in AI for all.”
The latest innovations in Driverless AI include:
- New automated pipelines that are well suited for real-time or online applications
- New charts and visualizations for model diagnostics
- Support for Amazon S3, Google Cloud Storage and Google BigQuery
- Support for HDFS for ingesting data from Apache Hadoop
“Driverless AI powers our data science team to operate efficiently and experiment at scale”
Bharath Sudarshan
Director of Data Science and Innovation at ArmadaHealth, a fast-growing healthcare company focusing on doctor recommendations and patient journeys
“With this latest innovation, we have the opportunity to impact care at large.”
Driverless AI automates some of the most difficult data science and machine learning workflows such as feature engineering, model validation, model tuning, model selection and model deployment. In addition, H2O.ai customers are generating over one million models and machine learning pipelines each month with Driverless AI.
Meet H2O.ai at O’Reilly AI Conference
H2O.ai is fostering a grassroots movement of systems engineers, data scientists, data developers and predictive analysts to move machine learning forward. Its enterprise product Driverless AI provides organizations with the intelligence of a Kaggle Grandmaster in a box. Stop by Booth #14 at O’Reilly AI to meet H2O.ai and learn more. A free 21-day trial of Driverless AI is available here: http://www.h2o.ai/driverless-ai/
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Built on a decade of open source, H2O.ai is trusted by 20,000+ organizations, half the Fortune 500. AT&T, Commonwealth Bank of Australia, Wells Fargo, Bank of America, Workday, Progressive Insurance, and NIH rely on H2O.ai to cut cost and risk and own their AI future.
Through its AI for Good program, H2O.ai applies technology and investment to non-profits and academia solving hard problems in health, education, and the environment.
Learn more at h2o.ai.