New Delhi, February 18 The artificial intelligence landscape is rapidly evolving, with Agentic AI being the latest frontier, and machine voice being the next, according to a report released here.
Since 2024, Agentic AI has been a leading force in artificial intelligence. Agentic AI leverages GenAI, through which systems respond to environments, including prompts, to then plan and automatically execute tasks.
However, the next step in this ever-evolving landscape will be machine voice. According to a report by Prosus and BCG, in the current year and the next, audio input/output models—using audio input and output speech to text and back—"reduce latency and enhance emotional maturity."
The report was released at the ongoing AI Impact Summit.
Over the past three decades, the tech world has seen a transformation from machine learning in the 1990s to deep learning in 2015, followed by Generative AI in 2022. The report, released on Tuesday, pointed out that 2024 saw the advent of Agentic AI.
Speaking after unveiling the report, R Chandrasekhar, former secretary, electronics, IT and telecom, said, "In healthcare today, we have startups providing a service that captures direct conversations between a healthcare professional and a patient in a local language and converts them into a medical case sheet ready for use by a doctor. This reduces the time a doctor needs with a patient."
Despite the increasing penetration of AI in recent years, key sectors such as agriculture, education, and public health continue to be under-integrated, while financial services and advanced manufacturing have made faster progress in integrating AI into decision-making, risk assessment, quality control, and operations, according to the report.
Calling for precision agriculture and the use of AI, Ashok Gulati, former Chairman of CACP, GoI, and professor at ICRIER, said, "With the same amount of water, land, and less fertilizers, you can produce much more. China has a smaller arable area of 129 million hectares compared to India's 159 million hectares, but its agricultural production is double ours."
Highlighting nutritional security as the biggest challenge for the country, he said, "There is a 30 per cent deficiency of zinc in our wheat and rice due to overuse of soil. This is where AI can help. Genome mapping has been done, and gene editing will be the future, and with that, you can introduce varieties with higher biofortification of higher zinc in wheat and rice."