Video by H2O.ai via YouTube
Years of historical data only pay off when they answer forward-looking questions. Which customers will leave? Which transactions are fraudulent? Which equipment is about to fail?
Terms covered:
– Predictive AI: turning accumulated history into decisions, shifting from reacting after events to acting before them
– AutoML: automating algorithm selection, hyperparameter tuning and model comparison. Work that took weeks of specialist time now takes hours, and teams that ran one experiment can run dozens.
– Machine learning automation: now extending across feature management, data preparation, deployment and app creation, with agents orchestrating the full lifecycle
– Tabular Foundation Model (TFM): pre-trained on vast amounts of structured data, so it generalizes to new datasets faster and needs less labeled data
Think of a TFM as the difference between hiring someone with no experience and someone who has already solved thousands of similar problems.
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AI Fundamentals Glossary | H2O.ai University
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#PredictiveAI #AutoML #FoundationModels #AIGlossary #H2Oai