Based on a statement given by the institute the operational paradigm of the BRAIN Lab is founded on three pillars: education, research and outreach. The Centre will carry out industry oriented research to build up an inventory of use cases design curriculum-related courses for students, organise AI project and product development contests, enable AI startups through an accelerator and engage in active public policy conversation and collaboration with industry and government.

The research facility will be focused on manufacturing, healthcare, Global Capability Centres and the Banking, Financial Services and Insurance (BFSI) sector. The Centre intends to get directly involved with these sectors through industrial projects, with a view towards developing a repository of use cases which would be made available free of cost to academic institutions, researchers and businesses.

BITSoM's dean and operations professor, Prof. Saravanan Kesavan, contributed to the Center's creation.  Their goal to create the future of business education and practices in an AI-driven world is reaffirmed with the opening of this AI centre, BRAIN Lab. Their goal for the BRAIN Lab is to make AI work through impactful research contributing to the industry, education preparing our students for tomorrow's jobs and outreach ensuring AI benefits society at large and not merely shareholders. As business teachers, they want to prepare executives to grapple with tough questions such as: do you build this AI, who will benefit, and who will fall behind?  BRAIN Lab will not turn away from these questions. The equilibrium between enthusiasm and caution, possibility and accountability, is where our work lies." 

The next major transformation in the way businesses are driven is happening right now, according to Viswanath Ramaswamy, vice president of technology at IBM India & South Asia. AI is significantly enhancing human productivity and opening new sources of revenue, just as the earlier technical eras revolutionised industries. "Are you an AI-first organisation or is AI a post-facto thought?" is the crucial question facing all organisations today.

You'll be left behind if you consider AI an afterthought. There is no artificial intelligence (AI) without a strong information architecture, so keep that in mind. And as they welcome AI, they must do so sensibly, equitably and with robust regulations.