in Silicon Valley in 2012 Funded: $75M Investors: Wells Fargo, NVIDIA, Nexus Ventures, Paxion Ventures Products • H2O Open Source Machine Learning (14,000 organizations) • H2O Driverless AI – Automatic Machine Learning Leadership Leader in Gartner MQ Machine Learning and Data Science Platform Team 120 AI experts (Kaggle Grandmasters, Distributed Computing, Visualization) Global Mountain View, London, Prague, India
Financial Services “H2O.ai's reference customers gave it the highest overall score for sales relationship and overall service and support” - Gartner MQ 2018
Science and Machine Learning Platforms Magic Quadrant • Technology leader with most completeness of vision • Recognized for the mindshare, partner network and status as a quasi-industry standard for machine learning and AI • H2O.ai customers gave the highest overall score among all the vendors for sales relationship and account management, customer support (onboarding, troubleshooting, etc.) and overall service and support The picture can't be displayed. Get the Gartner Magic Quadrant here
H2O Flow GUI H2O AI Open Source Engine Integration with Spark Lightning Fast machine learning on GPUs Automatic feature engineering, machine learning and interpretability • 100% open source – Apache V2 licensed • Built for data scientists – interface using R, Python on H2O Flow (interactive notebook interface) • Enterprise Support subscriptions • Enterprise software • Built for domain users, analysts & data scientists – GUI based interface for end-to-end data science • Fully automated machine learning from ingest to deployment • User licenses on a per seat basis (annual subscription) Open Source
Open Source AI Platform Open Source Flexible Interface Scalability and Performance GPU Enablement Rapid Model Deployment Smart and Fast Algorithms H 2 O Flow • 100% open source • Highly portable models deployed in Java (POJO) and Model Object Optimized (MOJO) • Automated and streamlined scoring service deployment with Rest API • Distributed In-Memory Computing Platform • Distributed Algorithms • Fine-Grain MapReduce
AI Talent ~100 Data science experts in the world Time for a data scientist to build a model Months Time to Insights slow Explainable AI Lack of Trust in AI Data is a Team Sport Talent Time Trust ?
AI for Enterprise Kaggle Grandmasters Top 10 Data Science Experts GPU accelerated ML Automatic Pipelines MLI Auto Doc Auto Visualization Explainability & Transparency Talent Time Trust
for Driverless AI For the expert and novice data scientist – to save time Automatic feature engineering, modeling, visualization, and interpretability Automatic standalone scoring pipelines – convert data to code Provides easy to understand results and visualizations ….. in a single platform
and model performance “ “Driverless AI helped us gain an edge with our Intelligent Marketing Cloud for our clients. AI to do AI, truly is improving our system on a daily basis.” “H2O Driverless AI feature engineering is better than anything I've seen out there right now. And the scoring pipeline generation is probably one of the bigger pluses for me. These features along have provided us with a true competitive edge in agile manufacturing. It's a massive time saver.” “Driverless AI powers our data science team to operate efficiently and experiment at scale…With this latest innovation, we have the opportunity to impact care at large.” “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.” Venkatesh Ramanathan Senior Data Scientist, PayPal Martin Stein Chief Product Officer, G5 Dr. Robert Coop AI and ML Manager, Stanley Black & Decker Bharath Sudarshan Director of Data Science, Armada Health Driverless AI Customer Feedback