A new MIT Sloan Management Review India study finds that fragmented operational data and missing plant context continue to limit the accuracy and credibility of industrial AI systems.
A company’s future depends on the new directions it explores and develops today — and that requires different structures and capabilities from incremental innovation.
Collaborators who begin with an ambiguous problem may get better innovation results than teams that define a problem at the outset.
Despite years of regulation, penalties, and technological interventions, spam calls and messages remain among the most persistent digital nuisances in the country.
India generates nearly a fifth of global data but hosts only a fraction of the world’s data centers, exposing a competitiveness gap that fiscal measures alone may not close.
