Engineering AI for enterprise scale: From models to meaningful outcomes

By Jay Modh, Founder & CEO, Intuitive.ai

Tesla once imagined machines with a mind of their own. A century later, that vision has moved from theory to reality. What was once science fiction now informs how artificial intelligence is being designed, deployed, and scaled across industries. Alongside AI, emerging technologies such as quantum computing are expected to dramatically expand what machines can process and predict. While still early, quantum computing alone is projected to grow into a multi-billion-dollar market by the end of the decade, amplifying AI’s ability to tackle problems once considered intractable.

From autonomous vehicles and intelligent diagnostics to generative systems that reason across language and data, machines today are learning to operate with increasing independence. These advances have the potential to redefine industries, energise economies, and unlock new possibilities for society. But technology on its own does not create transformation. What matters ...