Page 50 - Red Hat PR REPORT - JULY 2024

7/30/24, 1:48 PM Red Hat Highlights Evolution Of AI In Middle East At Red Hat's EMEA AI Open Talks
discussion addressed the tremendous expansion and excitement that the AI industry has
experienced, leading some to speculate that the hype cycle around AI is nearing its end.

However, in the Middle East, AI's enormous potential continues to spark significant
investments, driving innovation and economic growth.

Red Hat emphasized the importance of practical AI applications, ensuring that the technology

remains influential and productive. While hype surrounding generative artificial intelligence
(GenAI) persists, it has transcended the peak of inflated expectations. In 2024, projects

utilising other AI techniques – either alone or in conjunction with GenAI – that have
standardised procedures to facilitate implementation is expected to yield greater benefits. AI

leaders should therefore combine developments from all stages of the 'Hype Cycle' to create
composite AI techniques as the foundation for future system architectures in order to
maximise benefits.

Swarm AI:

Red Hat then continued to advocate for Swarm AI, a bottom-up approach to AI that places a
strong focus on transparency, community-driven development, and ethical principles. Swarm

AI improves data exchange and offers more precise and efficient solutions by utilising a
collective of smaller models. More importantly, this method differs from the conventional

dependency on big, monolithic AI systems.

Impact on Key Domains:

Red Hat's AI solutions are also renowned for having a significant impact on several key
industries, like the stock market, fraud management, and healthcare. AI is used in healthcare

to improve patient care and expedite operations, while AI-driven fraud management systems
can detect and prevent fraudulent activities in finance. It also supports the stock market by

offering predictive analytics to inform investment strategies.

Significance of Small Models:

It was noted that while major players such as Microsoft, Google, and Meta dominate the AI
landscape, Red Hat's strategy focuses on small, domain-specific models. By using company-

specific data to train the models, more reliable and customised solutions can be offered. This
method works particularly well for business applications as it addresses privacy concerns and

boosts productivity.

AI and Sustainable Development:

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