Page 38 - Red Hat PR REPORT - JULY 2024

Red Hat has integrated AI and ML capabilities into its products to help organizations leverage these
technologies while maintaining the flexibility and transparency of open-source solutions. Key
initiatives include:
1. Red Hat OpenShift Data Science: A cloud service for data scientists and developers to
build, train, and deploy machine learning models. OpenShift Data Science provides a
consistent and scalable environment for AI development, integrating popular tools like
Jupyter notebooks, TensorFlow, and PyTorch. In one case, BMW used OpenShift Data
Science to improve its predictive maintenance capabilities, reducing equipment downtime
by 15% (https://www.redhat.com/en/success-stories/bmw-group.)

2. AI-Powered Automation: Red Hat’s Ansible Automation Platform incorporates AI to
enhance IT automation capabilities. AI-driven automation can predict and preemptively
address issues, optimize workflows, and improve operational efficiency.

3. AI Research and Development: Through the IBM and Red Hat Center of Excellence for AI,
the companies collaborate on AI research projects that focus on creating open-source AI
tools and frameworks. This initiative aims to democratize access to AI technologies and
foster innovation in the open-source community.

The Role of IBM

IBM’s acquisition of Red Hat has significantly bolstered its AI and multi-cloud capabilities. IBM’s
extensive research in AI, particularly through IBM Watson, has been integrated with Red Hat’s
platforms, creating a powerful synergy that drives innovation and expands market reach.

IBM and Red Hat Center of Excellence for AI

https://cdotimes.com/2024/07/29/red-hats-evolution-from-open-source-pioneer-to-multi-cloud-
ai-leader/