-

H2O.ai Launches H2O Wave

MOUNTAIN VIEW, Calif.--(BUSINESS WIRE)--H2O.ai announces the release of H2O Wave, the future of AI Applications. Wave is a lightweight development framework that enables users, with just a few lines of Python, to develop beautiful applications in real-time, powered by industry-leading AI technology.

H2O Wave is H2O’s latest open source offering, making it even faster and easier for data scientists, machine learning engineers, and software developers to develop real-time interactive AI Apps with sophisticated visualizations. H2O Wave accelerates development with a wide variety of user-interface components and charts, including dashboard templates, dialogs, themes, widgets, and more.

"Data scientists and engineers need a low-code fast way to tell meaningful stories from data with machine learning. H2O Wave makes it easy to rapidly prototype and serve live informative visualizations and applications,” said Sri Ambati, founder and CEO of H2O.ai. “Being open source ensures that the community can bring AI into every organization, going from data science recipes to intelligent business applications.”

The Wave Software Developer Kit is entirely open source, and there are eight early access open source applications for users to get started.

Customers can now try out the following open source demo applications:

  • Social Media Sentiment
  • Explaining Ratings
  • Getting Started with NLP
  • Getting Started with Images
  • Mitigating Churn Risk
  • Human-in-the-Loop Credit Risk
  • Online Shopping Recommendations
  • Guess the Number

About H2O.ai

H2O.ai is the open source leader in AI and automatic machine learning with a mission to democratize AI for everyone. H2O.ai is transforming the use of AI to empower every company to be an AI company in financial services, insurance, healthcare, telco, retail, pharmaceuticals, and marketing. H2O.ai is driving an open AI movement with H2O, which is used by more than 20,000 companies and hundreds of thousands of data scientists. H2O Driverless AI, an award-winning and industry-leading automatic machine learning platform for the enterprise, is helping data scientists across the world in every industry be more productive and deploy models in a faster, easier, and cheaper way. Learn more at www.H2O.ai.

Contacts

Media Contact
Ana Visneski
anastacia.visneski@h2o.ai
206-298-0643

H2O.ai


Release Summary
H2O.ai announces the release of H2O Wave, the future of AI Applications.
Release Versions

Contacts

Media Contact
Ana Visneski
anastacia.visneski@h2o.ai
206-298-0643

More News From H2O.ai

H2O.ai and VAST Data Turn Massive Enterprise Datasets into Domain-specific Insights with Agentic AI Solution

MOUNTAIN VIEW, Calif.--(BUSINESS WIRE)--H2O.ai, the world’s leading agentic AI, and VAST Data, the AI data platform company, are teaming up to bring agentic generative AI and predictive AI to enterprises’ exabyte-scale datasets. This joint solution combines VAST Data’s modern infrastructure for storing and managing all data types (video, audio, documents, sensor data) with H2O.ai’s enterprise h2oGPTe platform to deliver retrieval-augmented answers, powerful model fine-tuning options, and ground...

H2O.ai Launches Enterprise LLM Studio: Fine-Tuning-as-a-Service for Domain-Specific Models on Private Data

MOUNTAIN VIEW, Calif.--(BUSINESS WIRE)--H2O.ai, a leader in open-source Generative AI and Predictive AI platforms, today announced H2O Enterprise LLM Studio, running on Dell infrastructure. This new offering provides Fine-Tuning-as-a-Service for businesses to securely train, test, evaluate, and deploy domain-specific AI models at scale using their own data. Built by the world’s top Kaggle Grandmasters, Enterprise LLM Studio automates the LLM lifecycle — from data generation and curation to fine...

H2O.ai Becomes First to Bring Model Risk Management to Generative AI for Regulated Industries

MOUNTAIN VIEW, Calif.--(BUSINESS WIRE)--H2O.ai, the leader in open-source Generative AI and the most accurate Predictive AI platforms, today announced the industry's first Model Risk Management (MRM) framework for Generative AI, bringing rigorous validation, compliance, and transparency to Generative AI applications in financial services, banking, and other highly regulated sectors. As AI adoption accelerates, particularly in regulated industries, ensuring the trustworthiness, fairness, and rel...
Back to Newsroom