Can Neuroscience Help Enterprises Derive Value from Generative AI?
Around 80% of generative AI use cases fail to deliver business value. Raja Jamalamadaka, managing director at Roche Information Solutions India, believes this disconnect lies within the human brain and how we interpret these technologies in a business context. While speaking at the keynote session at Cypher 2024– India’s Biggest AI conference– hosted by AIM Media House, Jamalamadaka said human emotions like fear, uncertainty and ambiguity are some of the reasons that are hindering the wider adoption of generative AI among enterprises. Drawing from his background in neuroscience, Jamalamadaka examined the intersection of human intelligence and artificial intelligence. He pointed out that a staggering 61% of respondents in a recent survey expressed fears about potential job losses due to AI advancements. This statistic underscored a critical point– while technology promises efficiency and innovation, it also instils anxiety about job security and the future of work. He believes understanding human emotions towards technology will play a critical role for enterprises that are looking to scale generative AI adoption. Hi-Touch Before Hi-Tech “High touch is all about simplicity, ease, helping people relate their emotions in a particular level, ensuring people understand that they will not lose their jobs, if anything, they will benefit from it,” Jamalamadaka said. He emphasizes that CXOs must assist their employees in grasping the value of generative AI and its potential to enhance their work. Recognising and valuing human intelligence can address many concerns and the limited benefits enterprises derive from generative AI. “High touch precedes high tech. People are doing it the other way around. Humans should be valued, while technology is meant to be utilised. Unfortunately, many people tend to prioritise technology over the value of human contributions,” he said. Moreover, many issues plaguing enterprises, such as a lack of motivation among employees, poor communication, resistance to change, and insufficient training, are significant factors hindering the ability to derive value from generative AI. By prioritising a “high touch” approach—valuing human contributions and addressing concerns like job security—businesses can better harness the potential of AI. AI Evolved From Human Intelligence Jamalamadaka also pointed out that artificial intelligence has evolved from human intelligence. AI functions in the same way human intelligence does. It digests millions of data points and identifies patterns, enabling it to make informed decisions and predictions similar to how humans process information. “Latest research shows that the human brain processes 11 million pieces of information per second. However, only 0.0004 percent of these pieces of information and forget the rest,” he said. This is how generative AI operates, but the key difference lies in recognising the significance of human intelligence, which enables us to perform many tasks that generative AI cannot yet achieve. Understanding and integrating human intelligence into technological advancements will be essential for truly realising the benefits of generative AI in the workplace.
By prioritising a “high touch” approach—valuing human contributions and addressing concerns like job security—businesses can better harness the potential of AI.
Around 80% of generative AI use cases fail to deliver business value. Raja Jamalamadaka, managing director at Roche Information Solutions India, believes this disconnect lies within the human brain and how we interpret these technologies in a business context.
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I have a keen interest in creative writing and artificial intelligence. As a journalist, I deep dive into the world of technology and analyse how it’s restructuring business models and reshaping society.