AI startup H2O.ai launches Driverless AI, an automated machine learning platform
The data science and machine learning software landscape is changing. With the fall of the old guard like SAS and IBM, new and young startups like H2O.ai, Knime and RapidMiner taking the top spots, according to Gartner’s 2018 Magic Quadrant for Data Science Platforms. Today, H2O.ai announced a new release of its award-winning automated machine learning platform Driverless AI. 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.
Founded in 2011 by Cliff Click and SriSatish Ambati, H2O.ai provides an open source machine learning platform that makes it easy to build smart applications. Using their platform, data scientists and developers can import powerful algorithms into their applications. Their technology is already being used to predict fraud, customer churn, etc. at over 5,000 organizations and our customers include the likes of Cisco, PayPal and Progressive. H2O.ai also partners with leading technology companies such as NVIDIA, IBM, AWS, Azure and Google and is proud of its growing customer base, which includes Capital One, Progressive Insurance, Comcast, Walgreens and Kaiser Permanente.
H2O.ai is the leader in AI with its visionary open source platform, H2O. Its mission is to democratize AI for all. H2O.ai is transforming the use of AI within all software with its category-creating visionary open source machine learning movement. More than 12,600 companies use open-source H2O in mission-critical use cases for Finance, Insurance, Healthcare, Retail, Telco, Sales, and Marketing. H2O.ai recently launched Driverless AI that uses AI to do AI in order to provide an easier, faster and cheaper means of implementing data science. In February 2018, Gartner named H2O.ai as a Leader in the 2018 Magic Quadrant for Data Science and Machine Learning Platforms.
“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,” said 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,” said 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 H2O.ai’s 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,” said 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.