H2O.ai Blog
Filter By:
28 results Category: Year:
Building a Manufacturing Product Defect Classification Model and Application using H2O Hydrogen Torch, H2O MLOps, and H2O Wave
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...
Read more
AI in Insurance: Resolution Life's AI Journey with Rajesh Malla
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 ...
Read more
Improving Search Query Accuracy: A Beginner's Guide to Text Regression with H2O Hydrogen Torch
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...
Read more
New in Wave 0.24.0
Another Wave release has arrived with quite a few exciting new features. Let’s quickly go over the biggest ones.Wave init CLIHow many times you wanted to build a Wave app fast, but then you realized you need to start from scratch, copy over the skeleton of your app and work up from there? For these exact reasons, we introduced a new wave...
Read more
H2O.ai Placed Furthest in Completeness of Vision in 2021 Gartner Data Science and Machine Learning Magic Quadrant in the Visionaries Quadrant. -- Copy
At H2O.ai, our mission is to democratize AI, and we believe driving value from data is a team sport. Data needs to be organized and prepared, often by data engineers, and then models need to be built by data scientists. With models built, they need to be put into production and maintained by IT and DevOps personnel. Finally, these models...
Read more
An Introduction to H2O Wave Table
H2O Wave is a Python package for creating realtime ML/AI applications for a wide variety of data science workflows and industry use cases. Data scientists view a significant amount of data in tabular form. Running SQL queries, pivoting data in Excel or slicing a pandas dataframe are pretty much bread-and-butter tasks. With the growing u...
Read more
H2O.ai Receives Innovation Award for H2O Hydrogen Torch
We don’t like to brag, but we do like to celebrate the work our Makers create, and more importantly, why they create it: for you. H2O.ai was proud to accept the award for “Best Deep Learning Technology” at the AI Tech awards. H2O Hydrogen Torch , a no-code deep learning training engine, was released less than a year ago in February 2022...
Read more
H2O Wave joins Hacktoberfest
It’s that time of the year again. A great initiative by DigitalOcean called Hacktoberfest that aims to bring more people to open source is about to start. Hacktoberfest incentives people to make at least 4 valuable contributions (pull requests) to an open source repository and get the reward i...
Read more
Integrating VSCode editor into H2O Wave
Let’s have a look at how to provide our users with a truly amazing experience when we need to allow them to edit pieces of code or configuration. We will use one of the most popular and well-known code editors called Monaco editor which powers VSCode. The resulting app will have the editor on the left side and a markdown card on the righ...
Read more
The H2O.ai Wildfire Challenge Winners Blog Series - Team PSR
Note : this is a community blog post by Team PSR – one of the H2O.ai Wildfire Challenge winners.This blog represents an experience we gained by participating in the H2O wildfire challenge. We need to mention that competing in this challenge is like a journey in a knowledge pool. For a person who is willing to get the knowledge of buildin...
Read more
The H2O.ai Wildfire Challenge Winners Blog Series - Team HTB
Note : this is a community blog post by Team HTB – one of the H2O.ai Wildfire Challenge winners. You can check out their app here . The Challenge The purpose of the challenge was to develop an AI application to improve the forecast of bushfires and wildfires, with the main aim of reducing the human losses that these phenomena can cause...
Read more
Comprehensive Guide to Image Classification using H2O Hydrogen Torch
In this article, we will learn how to build state-of-the-art models in computer vision and natural language processing within a couple of minutes using H2O Hydrogen Torch. Introduction to H2O Hydrogen Torch H2O Hydrogen Torch (HT) aims to simplify building and deploying deep learning models for a wide range of tasks in computer vision...
Read more
Setting Up Your Local Machine for H2O AI Cloud Wave App Development
This article is for users who would like to build H2O Wave apps and publish them in the App Store within the H2O AI Cloud (HAIC). We will walk through how to set up your local machine for HAIC Wave App development. Instructions Developing with Wave H2O Wave is a framework for building frontends using only python or R. In this article...
Read more
Demand Sensing with H2O Wave : Supply Chain Intelligence and Inventory Optimization for Retail, CPG, and FMCG Industries
Demand Sensing can help optimize inventories by analyzing and modeling short-term and real-time signals The supply chains across the Consumer Packaged Goods (CPG), Fast-Moving Consumer Goods (FMCG) and Retail sectors need to continuously monitor the drivers that may impact their internal models and processes. These include systems around ...
Read more
AI Application to Demonstrate K-Means Clustering Using H2O Wave
Note : this is a community blog post by Shamil Dilshan Prematunga . It was first published on Medium . In this blog, I am going to highlight how cool H2O Wave is, by demonstrating my application called “K means App” which was built using Wave 0.20.0 . This is a simple application I have created to demonstrate one of the unsupervised lea...
Read more
Introducing H2O Hydrogen Torch: A No-code Deep Learning Framework
Over and over again we heard from customers, “deep learning is cool, but it’s hard and time consuming.” They kept asking “could someone just make it easier?” In typical “Maker” fashion, you ask, we deliver, H2O Hydrogen Torch . H2O Hydrogen Torch is a new product that enables data scientists and developers to train and deploy state-of-t...
Read more
How to Create Your Spotify EDA App with H2O Wave
In this article, I will show you how to build a Spotify Exploratory Data Analysis (EDA) app using H2O Wave from scratch.H2O Wave is an open-source Python development framework for interactive AI apps. You do not need to know Flask, HTML, CSS, etc. H2O Wave has ready-to-use user-interface components and charts, including dashboard templa...
Read more
Install H2O Wave on AWS Lightsail or EC2
Note : this blog post was first published on Thomas’ personal blog Neural Market Trends . I recently had to set up H2O’s Wave Server on AWS Lightsail and build a simple Wave App as a Proof of Concept. If you’ve never heard of H2O Wave then you have been missing out on a new cool app development framework. We use it at H2O to build AI-ba...
Read more
H2O.ai Tools for a Beginner
Note : this is a community blog post by Shamil Dilshan Prematunga . It was first published on Medium .Hey, this is not a deep technical blog. I’d like to share the experience I had with H2O tools when I was studying Machine Learning. As a Research Engineer, I am currently working on an area based on Telecommunication. Day by day with my e...
Read more
Introducing the H2O.ai Wildfire Challenge
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 their AI ap...
Read more
What are we buying today?
Note : this is a guest blog post by Shrinidhi Narasimhan .It’s 2021 and recommendation engines are everywhere. Be it online shopping, food, music, and even online dating, the race to provide personalized recommendations to the user has many contenders. The technology of giving users what they need based on their buying strategies or digit...
Read more
Unwrap Deep Neural Networks Using H2O Wave and Aletheia for Interpretability and Diagnostics
The use cases and the impact of machine learning can be observed clearly in almost every industry and in applications such as drug discovery and patient data analysis, fraud detection, customer engagement, and workflow optimization. The impact of leveraging AI is clear and understood by the business; however, AI systems are also seen as b...
Read more
Safer Sailing with AI
In the last week, the world watched as responders tried to free a cargo ship that had gone aground in the Suez Canal. This incident blocked traffic through a waterway that is critical for commerce. While the location was an unusual one, ship collisions, allisions , and groundings are not uncommon. With all the technology that mariners hav...
Read more
H2O AI Cloud: Democratizing AI for Every Person and Every Organization
Harnessing AI’s true potential by enabling every employee, customer, and citizen with sophisticated AI technology and easy-to-use AI applications. Democratization is an essential step in the development of AI, and AutoML technologies lie at the heart of it. AutoML tools have played a pivotal role in transforming the way we consume an...
Read more
H2O.ai Placed Furthest in Completeness of Vision in 2021 Gartner Data Science and Machine Learning Magic Quadrant in the Visionaries Quadrant.
At H2O.ai, our mission is to democratize AI, and we believe driving value from data is a team sport. Data needs to be organized and prepared, often by data engineers, and then models need to be built by data scientists. With models built, they need to be put into production and maintained by IT and DevOps personnel. Finally, these models...
Read more
Data to Production Ready Models to Business Apps in Just a Few Steps
Building a Credit Scoring Model and Business App using H2OIn the journey of a successful credit scoring implementation, multiple stakeholders and different personas are involved at different steps – Business Inputs, Dataset procurement, Data Analysis, Predictive Machine Learning, Data Storytelling, and Dashboarding. H2O.AI platforms such ...
Read more
Using AI to unearth the unconscious bias in job descriptions
“Diversity is the collective strength of any successful organization Unconscious Bias in Job DescriptionsUnconscious bias is a term that affects us all in one way or the other. It is defined as the prejudice or unsupported judgments in favor of or against one thing, person, or group as compared to another, in a way that is usually con...
Read more
Introducing H2O Wave
For almost a decade, H2O.ai has worked to build open source and commercial products that are on the leading edge of innovation in machine learning, from AutoML to Explainable AI . We are thrilled to announce the release of what we believe to be the future of AI Applications: H2O Wave . Wave is an open source, lightweight Python developmen...
Read more