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Building a Manufacturing Product Defect Classification Model and Application using H2O Hydrogen Torch, H2O MLOps, and H2O Wave
by Shivam Bansal, Genevieve Richards, Nishaanthini Gnanavel | May 15, 2023 H2O Hydrogen Torch, H2O Wave, MLOps, Manufacturing

Primary Authors: Nishaanthini Gnanavel and Genevieve Richards Effective product quality control is of utmost importance in the manufacturing industry. The presence of defective components can have adverse effects on various aspects, including escalating production costs, compromising product quality, diminishing product longevity, and l...

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AI in Insurance: Resolution Life's AI Journey with Rajesh Malla
by Liz Pratusevich | March 29, 2023 H2O Driverless AI, H2O Hydrogen Torch, H2O World, Insurance

Rajesh Malla , Head of Data Engineering – Data Platforms COE at Resolution Life insurance takes the stage at H2O World Sydney 2022 to discuss AI transformation within the insurance industry. Resolution Life is the largest life insurer in Australasia. Malla discusses the use of H2O Driverless AI to predict claim triage and other insurance ...

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Improving Search Query Accuracy: A Beginner's Guide to Text Regression with H2O Hydrogen Torch
by H2O.ai Team | February 28, 2023 Deep Learning, H2O Hydrogen Torch, Machine Learning

Although search engines are vital to our daily lives, they need help understanding complex user queries. Search engines rely on natural language processing (NLP) to understand the intent behind a user’s query and return relevant results. By formulating a well-formed question, users can provide more precise and specific information about w...

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