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7/30/24, 1:49 PM           Red Hat highlights evolution of AI in Middle East at Red Hat's EMEA AI Open Talks - Middle East News 247
        The Hype Cycle


        At the recent Red Hat’s EMEA AI Open Talks, Red Hat shed light on several key advancements in artificial
        intelligence (AI) and the company’s perspective on them. The 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,


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