H2O.ai announces new innovations of the award-winning product that uses AI to advance AI in the enterprise
MOUNTAIN VIEW, Calif.–(BUSINESS WIRE)–H2O.ai today announced a key milestone for Driverless AI, the award-winning automated machine learning platform which automates machine learning for the enterprise. After just four months, customers are building more than one million models per month. H2O.ai announced that it has added key new features to Driverless AI based on customer insights and usage. Driverless AI innovations come on the back of Gartner’s recognition of H2O.ai as a leader with the most completeness of vision in the Gartner 2018 Magic Quadrant for Data Science and Machine Learning Platforms.
“Driverless AI is a game changer for us. We are now able to put the power of an entire expert data science team in front of our customers, at scale”
Rajesh Iyer
SVP and Head of Data Science at Xceedance, a global leader in insurance data science services
“We are really digging our experience working with H2O.ai, the leaders in machine learning and AI.”
“Automatic Machine Learning through Driverless AI brings advanced AI techniques into the hands of every engineer and data scientist in the enterprise. Our mission to democratize AI starts by making training and inference faster, cheaper, easier and safer”
Sri Ambati
CEO of H2O.ai
“Driverless AI combines open source frameworks and hardware innovations like GPUs into an extensible architecture to build data science recipes that solve a whole class of problems for the industry. Protection from over-fitting and signal leakage enables users to build models and deploy pipelines safely. Automatic Visualization and Model Interpretation are frameworks for building trust in AI.”
Driverless AI automates feature engineering, machine learning and introduces visualization and interpretability features that explain data modeling results in plain English, thus fostering trust in artificial intelligence. This latest release of the platform includes:
- Direct data ingest from enterprise-ready data sources both on cloud and on-prem infrastructures.
- Tighter integration to AWS, Azure, Google Cloud Platform.
- Automatic Scoring Pipelines for most accurate models.
- Accurate and advanced cross-validation methods that allow reusable holdout sets that prevent overfitting of models and protect from leakage of signals.
- Support for numerous model diagnostics to help understand the output of the experiments for data scientists after their software automatically runs through many iterations of modeling.
- The ability for users to interpret their existing models without having to retrain them from scratch.
- Early stopping of experiments, when convergence is achieved, for faster training of models.
A free 21-day trial is available for customers.
H2O.ai’s Driverless AI platform lets data scientists, engineers, and domain scientists use an incredibly fast, intuitive computing platform to build highly accurate models and pipelines in a fraction of the time spent. Lack of highly skilled data scientists and artisanal data culture are still the biggest roadblocks for AI adoption in the industry. Now customers can apply automatic feature engineering with machine learning to quickly develop hundreds of machine learning models and pipelines to help businesses mitigate risks and maximize revenue potential. Driverless AI also offers first-of-its-kind model interpretability to explain model accuracy and predictions transparently.
The makers behind H2O.ai will be at the following conferences showcasing the latest features of Driverless AI:
- March 5-8, Gartner Data & Analytics Summit, Grapevine, TX, Booth 831
- March 5-9, HIMSS, Las Vegas, NV, Booth 9900-18
- March 6-8, Strata Data Conference, San Jose, CA, Booth 1428
H2O.ai launched in 2011 with the goal of democratizing data science through open source machine learning. H2O.ai continues to accelerate with significant commercial expansion and has strengthened its position as a thought leader and innovator. H2O.ai’s products are used by 222 of the Fortune 500, 129,000 data scientists and 12,600 organizations around the world. In November 2017, H2O.ai raised a $40 million Series C round led by Wells Fargo and NVIDIA.
H2O.ai created the industry's trusted Sovereign AI Platform because organizations should own their AI: their agents, models, data, and results, run anywhere from cloud to air-gapped.
Super Agent orchestrates predictive, generative, and agentic AI in one system, with observability and governance, empowering regulated and public sector organizations to get value from AI. Moving from pilot to production takes expertise, from top-ranked data scientists, including Kaggle Grandmasters, to forward-deployed engineers embedded with customer teams.
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.