Search Button
RSS icon Sort by:
Amazon Redshift Integration for H2O.ai Model Scoring
by Mary Beth Moore November 22, 2021 Data Science H2O AI Cloud

We consistently work with our partners on innovative ways to use models in production here at H2O.ai, and we are excited to demonstrate our AWS Redshift integration for model scoring. Amazon Redshift is a very popular data warehouse on AWS. We wanted to expand on the existing capacities of using data from Redshift to train […]

Read More
Building Resilient Supply Chains with AI
by Jo-fai Chow November 11, 2021 H2O AI Cloud

A global pandemic, a fundamental shift in the demand for goods and services worldwide, and the recent blockage of a major international trade route have all highlighted the need to build and maintain resilient supply chains. At the foundation of resilient supply chains lie accurate and reliable forecasts. The majority of traditional software systems rely […]

Read More
Introducing the H2O.ai Wildfire Challenge
by Jo-fai Chow November 5, 2021 AI4Good H2O AI Cloud Wave

We are excited to announce our first AI competition for good – H2O.ai Wildfire Challenge. We’ve structured this challenge to be a global collaborative effort to do good for the world that we share. We want teams to submit their ideas and applications freely, knowing that other teams will learn from what they’ve done to improve […]

Read More
MLB Player Digital Engagement Forecasting
by Jo-fai Chow October 29, 2021 Kaggle Machine Learning

Are you a baseball fan? If so, you may notice that things are heating up right now as the Major League Baseball (MLB) World Series between Houston Astros and Atlanta Braves tied at 1-1. MLB Postseason 2021 Results as of October 28 (source) This also reminded me of the MLB Player Digital Engagement Forecasting competition […]

Read More
Announcing the H2O AI Feature Store
by Vinod Iyengar October 28, 2021 H2O AI Cloud Product Updates

We’re really excited to announce the H2O AI Feature Store – The only intelligent feature store in the market. We’ve been working on this for many months with our co-development partner: AT&T. This enabled us to build a first-of-its-kind platform that is designed to be enterprise-grade from day 1. It is built with best-of-breed technology […]

Read More
An Introduction to Time Series Modeling:
Time Series Preprocessing and Feature Engineering
by Megan Maxwell October 26, 2021 Time Series

Time is the only nonrenewable resource – Sri Ambati, Founder and CEO, H2O.ai. Prediction is very difficult, especially if it’s about the future – Niels Bohr, Nobel Prize-Winning Physicist. Despite its inherent difficulty, every business needs to make predictions. You may want to forecast sales or estimate demand or gauge future inventory levels. Perhaps you […]

Read More
New Features Now Available with the Latest Release of the H2O AI Hybrid Cloud 21.10
by Mary Beth Moore October 18, 2021 H2O AI Cloud H2O Release

The Makers here at H2O.ai have been busy building new features and enhancing capabilities across our AI platform. Designed to support our core mission of democratizing AI, these additions to our platform simplify the ability to make AI you can trust, operate it efficiently and innovate with ready-made AI applications. Launched in January of 2021, […]

Read More
Time Series Forecasting Best Practices
by Jo-fai Chow October 15, 2021 H2O AI Cloud Technical Posts Time Series

Earlier this year, my colleague Vishal Sharma gave a talk about time series forecasting best practices. The talk was well-received so we decided to turn it into a blog post. Below are some of the highlights from his talk. You can also follow the two software demos and try it yourself using our H2O AI […]

Read More
1 2 51