Suppliers United States H2O.ai

	H2O.ai
HQ Location	United States
HQ City	Mountain View
Year Founded	2012
Company Type	Private
Revenue	$10-100m
Employees	201 - 1,000
Website	Open website

H2O.ai

HQ Location

United States

HQ City

Mountain View

Year Founded

2012

Company Type

Private

Revenue

$10-100m

Employees

201 - 1,000

Website

Open website

Company Description	H2O.ai is the leading open source Generative AI and Machine Learning platform provider on a mission to democratize AI. It distills the technical prowess of 30 Kaggle Masters into straightforward AI cloud products for Generative AI and Machine Learning that solve powerful problems. Customers, community, and partners are strategic investors in H2O.ai building a long-term vision for using AI for Good. Read More
Contents

Company Description

H2O.ai is the leading open source Generative AI and Machine Learning platform provider on a mission to democratize AI. It distills the technical prowess of 30 Kaggle Masters into straightforward AI cloud products for Generative AI and Machine Learning that solve powerful problems. Customers, community, and partners are strategic investors in H2O.ai building a long-term vision for using AI for Good.

H2O.ai’s Technology Stack maps H2O.ai’s participation in the IoT technology stack.

Application Layer
Functional Applications

Cloud Layer
Platform as a Service

Infrastructure as a Service

Edge Layer
Automation & Control

Processors & Edge Intelligence

Actuators

Sensors

Devices Layer
Robots

Drones

Wearables

Supporting Technologies
Analytics & Modeling

Application Infrastructure & Middleware

Cybersecurity & Privacy

Networks & Connectivity

Technological Capability

None

Minor

Moderate

Strong

Number of Case Studies2

H2O.ai empowers New South Wales Government To Deliver Exceptional Services for its Citizens with AI

The New South Wales (NSW) Government wanted to build out its data practice and initiatives. They needed to enable its analysts to draw upon data science and automatic machine learning platforms to help find answers, pinpoint solutions and use data to create better services for all. The government was looking for a solution that could improve the accuracy of its predictive models and empower its team of data scientists to build models faster.

H2O for Real Time Fraud Detection

Organizations responsible for fraud prevention are facing a host of challenges at the transaction, account, and network-level to detect fraudulent behavior and suspicious activities. Fraudulent transactions are rare, but costly if they aren’t detected. In the credit card business, for example, third-party fraud accounts for roughly 4 out of every 10,000 transactions. Modeling rare events is difficult, like finding a needle in a haystack. For best results, gather as much data as possible, and use the most advanced techniques available.

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Overview

H2O.ai

IoT Snapshot

Technology Stack

Case Studies