The real data quality breakthrough happens when companies transition to the third mode, where errors are prevented at the source. But this shift requires a major change in mindset, in which every employee recognizes that they are both a data creator and a data customer and starts acting like it.
Data is invaluable, but working with it doesn’t always feel meaningful. Four strategies can help make data work more engaging.
What matters is the scale of the problem a startup tackles and the path to sustainable economics—an ethos Indian AI founders already follow
Pointing to the earlier waves of disruption such as the rise of the internet and cloud computing, Krish said concerns over job losses have surfaced with every major technological breakthrough, adding that “it’s wrong to look at it through the lens of job loss and it is more an opportunity to transform skill.”
More clients are embracing full-scale AI shifts, moving beyond isolated use cases, with AI agents playing a key role, Infosys CEO Parekh said
