Reducing False Positives in Financial Transactions with AutoML
July 14, 2023 AutoML Data Science H2O AI Cloud H2O Driverless AI Machine Learning Uncategorized [EN]In an increasingly digital world, combating financial fraud is a high-stakes game. However, the systems we deploy to safeguard ourselves are raising too many false alarms, with over 90% of fraud alerts being false positives. These false positives, not only frustrating for consumers but also costly for financial institutions, can eclipse the cost of the […]
Winner’s Insight: Navigating the Parkinson’s Disease Prediction Challenge with AI
July 3, 2023 AI for Good Machine LearningParkinson’s disease, a condition affecting movement, cognition, and sleep, is escalating rapidly. By 2037, it is projected that around 1.6 million U.S. residents will be confronting this disease, resulting in significant societal and economic challenges. Studies have hinted that disruptions in proteins or peptides could be instrumental in the disease’s onset and progression. Consequently, delving […]
H2O.ai and Snowflake Enable Developers to Train, Deploy, and Score Containerized Software Without Compromising Data Security
June 27, 2023 H2O Driverless AI H2O-3 Machine LearningH2O.ai today announced its participation as a launch partner for Snowflake’s Snowpark Container Services (available in private preview), which provides our joint customers with the flexibility to train, deploy, and score models all within their Snowflake account. This further expands the ease of use for data science teams to create machine learning models and deployment […]
Generating LLM Powered Apps using H2O LLM AppStudio – Part1: Sketch2App
June 20, 2023 Data Science H2O AI Cloud Machine Learningsketch2app is an application that let users instantly convert sketches to fully functional AI applications. This blog is Part 1 of the LLM AppStudio Blog Series and introduces sketch2app The H2O.ai team is dedicated to democratizing AI and making it accessible to everyone. One of the focus areas of our team is to simplify the […]
How Horse Racing Predictions with H2O.ai Saved a Local Insurance Company $8M a Year
March 8, 2023 H2O World Machine LearningIn this Technical Track session at H2O World Sydney 2022, SimplyAI’s Chief Data Scientist Matthew Foster explains his journey with machine learning and how applying the H2O framework resulted in significant success on and off the race track. Matthew Foster: I’m Matthew Foster, the Chief Data Scientist for SimplyAI. So, I’m going to take you […]
Improving Search Query Accuracy: A Beginner’s Guide to Text Regression with H2O Hydrogen Torch
February 28, 2023 H2O Hydrogen Torch Machine LearningAlthough 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 what they are looking for, […]
H2O.ai at NeurIPS 2022
December 6, 2022 AI for Good Data Science Machine LearningH2O.ai is proud to participate in the 36th Conference on Neural Information Processing Systems (NeurIPS) 2022, one of the biggest and most prestigious international conferences in artificial intelligence. NeurIPS 2022 will be a Hybrid Conference from Monday, November 28th through Friday, December 9th, with an in-person event at the New Orleans Convention Center during the […]
A Brief Overview of AI Governance for Responsible Machine Learning Systems
November 30, 2022 AI Governance Machine Learning Responsible AIOur paper “A Brief Overview of AI Governance for Responsible Machine Learning Systems” was recently accepted to the Trustworthy and Socially Responsible Machine Learning (TSRML) workshop at NeurIPS 2022 (New Orleans). In this paper, we discuss the framework and value of AI Governance for organizations of all sizes, across all industries and domains. Our paper […]
Three Keys to Ethical Artificial Intelligence in Your Organization
September 23, 2022 AI4Good Machine LearningThere’s certainly been no shortage of examples of AI gone bad over the past few years–enough to give everyone pause on how (and if) this technology can truly be used for good. If it’s not Facebook selling data of its users, it’s self-driving cars from Uber that can’t recognize pedestrians in time to slow down […]
Make with H2O.ai Recap: Validation Scheme Best Practices
August 23, 2022 Data Science Kaggle Machine Learning Make with H2O.aiData Scientist and Kaggle Grandmaster, Dmitry Gordeev, presented at the Make with H2O.ai session on validation scheme best practices, our second accuracy masterclass. The session covered key concepts, different validation methods, data leaks, practical examples, and validation and ensembling. Key Concepts While the validation topics covered are applicable to most models, the session focused on […]