Infosys Ltd, India’s second-largest software services provider, on Wednesday said it has partnered with Stanford University’s Institute for Computational and Mathematical Engineering (ICME) to research on industry issues using data science and analytics. Under this arrangement, Infosys will work with ICME to develop curriculum in data science and analytics, focused on real-world problem areas, in addition to the research on solving industry issues, the company said. These curriculum modules will be based on identified needs of customers drawn from Infosys’s engagement with enterprises across industries.
The Stanford partnership will also provide the Bangalore-based firm an access to required talent. The company will provide an opportunity to Stanford students to participate in its internship programme, InStep, and to explore a career at the firm. “Rapid advances in computing and technology have placed many powerful algorithms only a few clicks away. Gaining meaningful insights from source volumes of data has however become harder, as the deluge of data continues to outpace the gains in technology,” said Vishal Sikka, chief executive officer and managing director at Infosys.
“Our clients inform us that their great challenge is to fuse domain and business knowledge with algorithms and machine learning. I am confident that our relationship with Stanford will strengthen the foundations of data science for our clients and for Infosys through training on cutting edge technologies and algorithms. We look forward to conducting meaningful research with world-class researchers on issues of most importance to our clients and their business of today and tomorrow,” Sikka added.
According to Nasscom, SMAC (social, mobility, analytics, cloud) is a fast-growing market, though it contributes only about 10% to overall revenue for software services companies. Globally, IT firms are setting up centres and partnering with educational institutes for researching on analytics using these new-age technologies.
ICME director Margot Gerritsen said: “… Our institute develops computational and mathematical models to solve complex problems, ranging from optimization problems to flow physics, from financial mathematics to the geosciences, from uncertainty quantification to recommender systems and machine learning.”