Several pioneering applications of technology in agriculture to improve crop productivity and farmers' income had been driven out of India Lab under his leadership. "The blockchain effort for preventing food wastage and in creating digital twins of farms was worked on by India Lab," he had said in a recent interaction with Business Standard
. Many AI- and predictive analytics-based solutions in the field of agriculture that have been developed at IBM's India centre are currently in use in several Indian states. Niti Aayog
had, in fact, roped in IBM last year to develop a crop yield prediction model using AI, through which real-time advisory to farmers would be given in aspirational districts.
Despite his accomplishments, both in academic and professional fields, people who have worked with Raghavan vouch for his simplicity and humility. "He is a very approachable and down-to-earth person. He has all the ingredients to be a successful leader," a person who worked closely with him told Business Standard. No wonder, his current transition to a bigger role has a lot of similarity with IBM's current head of Asia Pacific business, Harriet Green, who before leading this region, had successfully transformed IBM's Watson IoT (Internet of Things) platform from a start-up to a profitable business segment.
As IBM doubles down its Watson AI bet, it is critical to have leaders like Raghavan who can deliver value to customers though the development of multiple cognitive applications. According to IBM CEO, Ginny Rometty, the company is currently engaged with over 20,000 AI projects for varied organisations, and analysts are of the opinion that the company's growth prospects will largely depend on the success of its Watson platform, which will drive its digital revenue in the years to come.