Understanding AI

Recent advances in AI software are powering new opportunities and experiences across industries. At the same time, AI is creating new challenges for IT professionals. 

What is AI?

Artificial intelligence (AI) generally refers to computer science processes and statistical algorithms that are able to simulate and augment human intelligence. 

In other words, AI describes systems capable of acquiring knowledge and applying insights to enable problem solving.

Read more about specific AI topics

Resources

E-book

Discover how organizations speed AI/ML adoption with Red Hat OpenShift

See how AI/ML can help make your business more competitive.

Checklist

Top 5 ways to implement MLOps successfully in your organization

Discover how Red HatOpenShift can help on your MLOps journey.

Overview

Red Hat Consulting: Red Hat OpenShift AI Pilot

Learn about Red Hat AI/ML consulting and services.

Success stories

Banco Galicia speeds new customer onboarding

Using an AI-based natural language processing (NLP) solution Red Hat OpenShift, the bank cut verification times from days to minutes with 90% accuracy.​

NTT East logo

NTT East creates video AI service for data insights

Nippon Telegraph and Telephone East Corporation uses Red Hat OpenShift to deliver image and video analytics at the edge to regional businesses and organizations.

Boston University builds an educational platform

Using Red Hat OpenShift AI, Boston University scaled a learning environment to accommodate hundreds of computer science and computer engineering users. 

More about AI/ML

Products

An AI-focused portfolio that provides tools to train, tune, serve, monitor, and manage AI/ML experiments and models on Red Hat OpenShift.

An enterprise application platform with a unified set of tested services for bringing apps to market on your choice of infrastructure. 

Red Hat Ansible Lightspeed with IBM watsonx Code Assistant is a generative AI service designed by and for Ansible automators, operators, and developers. 

Resources

e-book

Top considerations for building a production-ready AI/ML environment

Analyst Material

The Total Economic Impact™ Of Red Hat Hybrid Cloud Platform For MLOps

Webinar

Getting the most out of AI with open source and Kubernetes