Page 22 - Red Hat PR REPORT - JUNE 2024

6/11/24, 11:18 AM Navigating Digital Transformation and AI in Emerging Markets - Middle East News 247
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 provides a robust, scalable, and flexible platform for
deploying AI models, allowing businesses to manage their AI workloads seamlessly across hybrid and multi-
cloud environments. Its containerised approach ensures consistent performance and scalability, vital for
handling large-scale AI operations.

Ansible Automation, on the other hand, streamlines and automates the deployment and management of AI

infrastructure. By reducing the complexity and manual effort involved in managing AI environments, Ansible
enables faster and more reliable AI deployments, enhancing the overall efficiency of digital transformation
efforts.

The Synergy Between Digital Transformation and AI

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