At #DellTechWorld 2026, http://
H2O.ai Founder & CEO @srisatish joined @DellTech
' CTO Satish Iyer and @theCUBEto discuss what it takes to operationalize AI at scale — from infrastructure and governance to cost control, sovereignty, and real-world business outcomes.
@h2oai
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DellTechWorld 2026: H2O.ai CEO and Dell CTO discuss AI scaling, governance, cost
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H2O.ai introduces TabH2O foundation model for tabular data
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Last chance to register! What if getting state-of-the-art predictions on tabular data was as simple as uploading a spreadsheet? TabH2O, http://
H2O.ai’s foundation model for tabular data, is changing how teams approach machine learning by eliminating the need for -
Foundation Model for Tabular Data Uses In-Context Learning
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It's a foundation model for tabular data that uses in-context learning: feed it your labeled data, and it reads the patterns and returns predictions in a single forward pass. No gradient updates. No per-dataset training. Just data in, predictions out — in seconds.
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TabH2O v1 Outperforms CatBoost and LightGBM on TALENT Benchmark
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On TALENT — an independent benchmark of 300 classification and regression tasks — TabH2O v1 outranked tuned CatBoost, and LightGBM across the board. With zero hyperparameter tuning.
— H2O.ai (@h2oai) 16 avril 2026
Read the blog to learn more: https://t.co/qX6vx4hAdv#AI #MachineLearning #TabularData… pic.twitter.com/FNf0GU5PP6On TALENT — an independent benchmark of 300 classification and regression tasks — TabH2O v1 outranked tuned CatBoost, and LightGBM across the board. With zero hyperparameter tuning. Read the blog to learn more: https://
h2o.ai/blog/2026/intr
oducing-tabh2o/
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TabH2O Aims to Accelerate Tabular Machine Learning Workflows
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Building a model for a new tabular dataset still takes weeks. Feature engineering, model selection, hyperparameter tuning, iteration — before a single prediction is made. #TabH2O is our answer to that.
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FutureX: Evaluating AI Reasoning and Anticipation in Production
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FutureX tests what most benchmarks miss: Can AI reason, use tools, and anticipate outcomes that haven't happened yet? AI in production isn't about generating content. It's about making decisions in dynamic, uncertain environments. This is where we're seeing strong performance
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H2O AI Super Agent Maintains Top Position on FutureX Leaderboard
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H2O AI Super Agent™ is back at #1 on the FutureX leaderboard 🏆
— H2O.ai (@h2oai) 24 mars 2026
Not a one-off. A consistent signal. #AgenticAI #EnterpriseAI #SuperAgent #FutureX pic.twitter.com/WQaLnxkqbdH2O AI Super Agent™ is back at #1 on the FutureX leaderboard Not a one-off. A consistent signal. #AgenticAI #EnterpriseAI #SuperAgent #FutureX
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H2O.ai Showcases Flood Intelligence Blueprint at NVIDIA GTC
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Today at #NVIDIAGTC, http://
H2O.ai’s Flood Intelligence Blueprint was showcased at the @nvidia booth — a real example of how #AIforGood is being applied to support mission-critical infrastructure and public safety. Built with NVIDIA NeMo Agent Toolkit, Nemotron -
AI Infrastructure vs Production: Banking’s Real Challenge
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At #NVIDIAGTC, @JensenHuangcon said @nvidia is “vertically integrated but horizontally open.” That’s right—but here’s the reality in banking: Buying AI infra is easy Running AI in production is hard
Because governance, airgaps, MLOps/LLMOps, and workflows matter. AI -
H2O AI 100 Awards 2026 Nominations Now Open
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Nominations are now open for the 2026 H2O AI 100 Awards We’re recognizing leaders shaping the future of AI — from enterprise to research. Past honorees include leaders from @TDBank_US
, @BankofAmerica
, @ATT
, @nvidia
, @Cisco & more. Know someone making an impact? Nominate