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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
               Above all, the Middle East’s investments in AI demonstrate its commitment to sustainable
               development. Red Hat makes sure that advancements in AI have a positive impact on
               environmental factors by aligning its developments with regional sustainability goals. This entails
               maximising resource efficiency, cutting carbon footprints, and optimising energy use. The company
               also supports startups and early-stage innovations, fostering a vibrant ecosystem that encourages
               advances in AI. Red Hat supports these companies in the development of cutting-edge AI
               technologies by lending resources and expertise.

               Red Hat is committed to spearheading AI innovation in the Middle East, giving practical
               applications, sustainability, and ethical development top priority across a range of industries. The
               Red Hat OpenShift AI is an open-source platform that supports this vision, and allows for
               developing, training, testing, and serving models for your own AI-enabled applications. By
               embracing smaller, more effective AI models that promote regional initiatives, Red Hat hopes to
               make AI a productive and transformative force in the region.





               https://www.aiunplugged.io/blog/red-hat-highlights-evolution-of-ai-in-middle-east-at-red-hats-
               emea-ai-open-talks/
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