Data, AI, & Machine Learning
The Economics of Vibe Coding: Productivity Without Defensibility?
As developers shift from writing code to supervising AI systems, the economics of software are changing and so is the distribution of value.
As developers shift from writing code to supervising AI systems, the economics of software are changing and so is the distribution of value.
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.