By Ann - Sep 28, 2024
N. R. Narayana Murthy discusses the future of AI, noting the increasing commoditization of massive AI models such as GPT-4. He emphasizes that the value of these models lies not in their size and complexity but in their practical application to solve real-world problems and drive innovation across industries. As AI models become more standardized and accessible, the focus shifts to creative applications that provide tailored solutions and competitive advantages. This trend highlights the importance of integrating AI into various sectors to improve outcomes and drive technological transformation.
Tech via CNBC International
LATEST
In a recent discussion about the future of AI, Infosys chair N. R. Narayana Murthy noted that a significant shift in the AI environment is the commoditization of massive AI models. According to Murthy, even while large-scale AI models like GPT-4 or analogous technologies have been built in a groundbreaking manner, their size or complexity alone will not determine their value in the future. The true worth, however, will become apparent in the way these models are applied to solve real-world problems and yield observable outcomes across several industries.
Once AI models become more standardized and widely accessible, their role as cutting edge technological innovations will shift to that of indispensable instruments that encourage application innovation. As a result of increasing commoditization, businesses and organizations need to focus on effectively using these AI models to gain a competitive edge. The emphasis will shift from large expenditures in the models' creation to creative applications of them that increase production, address specific issues, and offer tailored answers.
Murthy’s perspective highlights a crucial trend in the AI industry: the growing importance of application and integration over mere technological prowess. Companies that excel will be those that can translate the capabilities of large AI models into practical, impactful solutions. Whether it's in healthcare, finance, manufacturing, or any other field, the value derived from AI will increasingly come from how well these models are tailored to meet industry needs and improve outcomes.
In essence, the commoditization of big AI models signifies a maturation of the technology landscape. As the technology becomes more democratized, the focus will be on innovation and application. Organizations that harness the potential of these models to develop meaningful applications will drive the next wave of AI-driven transformation, ensuring that the benefits of artificial intelligence are realized in everyday life and business practices.