H2O.ai
H2O.ai is the leading AI cloud company on a mission to democratize AI for everyone. Customers use the H2O AI Hybrid Cloud platform to rapidly make, operate and innovate to solve complex business problems and accelerate the discovery of new ideas. H2O.ai is the trusted AI partner to more than 20,000 global organizations, including AT&T, Aegon/ Transamerica, Allergan, Bon Secours Mercy Health, Capital One, CBA, GSK, Hitachi, Kaiser Permanente, PayPal, PWC and Walgreens, over half of the Fortune 500 and one million data scientists. Goldman Sachs, NVIDIA & Wells Fargo are not only customers and partners, but strategic investors in the company. H2O.ai’s customers have honored the company with a Net Promoter Score (NPS) of 78— the highest in the industry based on breadth of technology and deep employee expertise. The world’s top 20 Kaggle Grandmasters are employees of H2O.ai. A strong AI for Good ethos to make the world a better place and Responsible AI drive our purpose.
H2O AI 100 2025 Nasdaq Reel
Evaluating Generative AI Models with EvalStudio | Prague Meetup
Agentic AI in banking with TD Bank and H2O.ai
h2oGPTe + OpenWebUI
Using H2O.ai Aquarium Labs | Latest Update
H2O.ai h2oGPTe x LangGraph Demo
United States NIH Reduces IT Service Ticket Volume with Secure, Air-Gapped Generative AI by H2O.ai
H2O.ai University Upgrade | Announcement
[Webinar Recording] Return on Intelligence: How Government Agencies Are Unlocking Value with GenAI
LLM Integration for Text Labeling | H2O Label Genie Starter Track - Part 10
Zero-Shot Labeling and Segmentation | H2O Label Genie Starter Track - Part 9
Exploring and Clustering Datasets | H2O Label Genie Starter Track - Part 8
Self-Identifying & Fixing AI Model Issues | Automated Error Handling in Driverless AI
Monitoring AI Model Performance & Drift in Driverless AI | Real-Time Insights & Automation
Managing the Full AI Model Lifecycle with H2O | Automation, Retraining & Deployment
Deploying AI Models with H2O MLOps | Scalable & Flexible Deployment Strategies
[Panel Recording] Turning AI Strategy into Results for Financial Institutions
Interpreting AI Models in Driverless AI | Fairness, Sensitivity & Model Transparency
Managing AI Model Experiments in Driverless AI | Collaboration & MLOps Integration
Introduction to Data Labeling | H2O Label Genie Starter Track - Part 1
Optimizing AI Model Experiments with Driverless AI | Parallel Experiment Tracking
Enhancing Machine Learning with H2O Feature Store | Efficient Feature Management
Optimizing AI Models with Predictive & Generative AI | Model Validation & Evaluation
Harnessing Predictive & Generative AI with h2oGPTe | Automating Model Training & Deployment
Ensuring Fairness in AI with Disparate Impact Analysis | Bias Detection in Machine Learning
[TheCube Interview] Jennifer Berquist, AT&T & Sri Ambati, H2O.ai | Dell Technologies World 2025
Causal AI and Uplift Modeling with H2O | Analyzing Treatment vs. Control Groups
Uncovering Data Insights with H2O AutoInsights | AI-Powered Data Analysis
Data Profiling and Augmentation for AutoML | Improving AI Model Accuracy
Understanding Data Lineage in H2O | Tracking Data for AI Models