Mid-Sized Companies Poised to Lead AI Commercialization in 2024

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AI,Large Models,Commercialization

Yeahka Limited's study highlights the role of mid-sized companies in leveraging AI advancements for practical applications.

A recent study conducted by Yeahka Limited (9923.HK), a leader in payment processing solutions, sheds light on the transformative impact of the AI revolution that has been intensifying since the end of 2022, sparked by innovations such as ChatGPT. This surge has drawn a myriad of industry leaders and academic experts into the development of large-scale AI models, supported by investments amounting to hundreds of billions of yuan.

These developments underscore a significant untapped potential within AI technologies, particularly emphasizing the strategic approaches of mid-sized companies in leveraging these advancements. Over the past year, the landscape of AI development has crystallized into three primary factions: companies equipped with extensive resources, robust cloud infrastructures, and significant financial power; these companies leverage large models to enhance their ecosystems and cloud services, aiming to secure customer loyalty. These are often led by charismatic entrepreneurs and are continuously in the media spotlight, supported by hefty investments from major financial institutions. Then there are companies that have seen success in their specific fields but don’t possess the financial clout to compete directly with the giants in developing billion-yuan models, nor do they indulge in the kind of radical innovation typical of startups. While the first two groups often capture the most attention, mid-sized companies play a crucial yet underrated role. They are pivotal in implementing large models practically, thanks to their accumulated data, specific scenarios, and user advantages. This capability aligns with the 2024 industry focus on commercialization and real-world application of large models. In 2024, Yeahka, a Hong Kong-listed company with a 13-year history, is strategically employing AI technologies to enhance its existing business frameworks amidst the large model wave. Representing mid-sized companies in the AI

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