Digital Transformation for Businesses and Society
IT products and services span the areas of both computer software and hardware, programming, data assimilation and data management. Traditionally Indian firms have been low cost providers of services such as transactional intensive services especially to foreign firms. This outsourcing has transformed, over time, from a primarily cost cutting service to a key strategic initiative of Indian firms that actively drives competitive advantage. Information technology today offers vital services that help companies implement, execute, manage and run their businesses in a more efficient, faster and profitable way in a new world of mobile technologies and business without borders. This calls for a transition in their services, capabilities and resources- factors instrumental in imparting a competitive edge to the Indian IT-ITeS sector. We are keen to explore and understand how firms can make the transition from low cost providers to key innovators in transactional intense services, the requisite governance mechanisms that need to be put in place as well as the capabilities that they would need to invest in.
Artificial Intelligence and Automation
Emergent research posits that artificial intelligence (AI), especially machine intelligence (MI), is the most important general-purpose technology of our era. Rapid advances in MI are engendering economically significant applications in speech and face recognition, customer retention, R&D, trading, anomaly detection, and operations and workflow design, amongst others, across diverse sectors. These applications, in turn, are giving rise to new tasks and occupations, new processes, and new business models, whose contribution is expected to increase from $1.3 billion in 2016 to $59 billion in 20251. However, the evidence of such impact is generally anecdotal in that it has largely comprised a relatively small number of use cases that are not generalizable to a larger cohort of firms and industries. 

SRITNE is interested in studying AI-based workflow automation and work models based on empirical data to present statistical evidence of the systematic and increasingly pervasive impacts of AI on business and society.