Page 10 - Red Hat PR REPORT - JUNE 2024

ARTICLE

digital transformation, AI enables businesses to optimise processes, make informed
decisions, and enhance customer experiences.

Key Applications of AI:

● Automation: Streamlining repetitive tasks to improve efficiency.
● Data Analysis: Extracting actionable insights from vast datasets.
● Predictive Analytics: Anticipating trends and behaviours to optimise operations.
● Natural Language Processing (NLP): Enhancing human-machine interactions
through advanced language understanding.

In emerging markets, where resources may be limited, AI can drive significant
improvements in efficiency and effectiveness. Red Hat’s open hybrid cloud platform
ensures that AI solutions are scalable and consistent, while tools like Red Hat OpenShift
Data Science accelerate AI development and deployment.

Red Hat Enterprise Linux AI: Empowering Innovation

Red Hat Enterprise Linux AI (RHEL AI) is a specialised extension of RHEL, optimised for AI
and machine learning applications. It provides a secure, stable, and scalable platform for
developing, deploying, and managing AI solutions, tailored for the unique challenges and
opportunities in emerging markets.

RHEL AI Features:

● Optimised Performance: Tailored for AI workloads, both on-premises and in the
cloud.
● Comprehensive AI Toolchain: Includes popular frameworks and libraries like
TensorFlow and PyTorch.
● Scalability: Supports large-scale AI deployments.
● Enhanced Security: Ensures data integrity and compliance with robust security
features.
● OpenShift Integration: Facilitates containerised deployment of AI models, enhancing
scalability and management.

OpenShift and Ansible: Amplifying AI's Effectiveness

Red Hat OpenShift and Red Hat Ansible Automation Platform are instrumental in
amplifying the effectiveness of AI within digital transformation initiatives. OpenShift