Bridging the AI adoption gap: turning experiments into enterprise value

AI is more than a buzzword. Across various industries, it’s proving value by streamlining operations, enhancing decision-making and unlocking new levels of efficiency. But despite its potential, many businesses are still struggling to realize their AI ambitions— caught in limbo between experimentation and execution.

According to a recent study by Boston Consulting Group, only 26% of companies have successfully moved beyond proofs of concept to achieve tangible results. Bridging this AI adoption gap goes beyond technology; it's dependent on a clear strategy, organizational readiness and employee engagement.

Start with clear objectives

One of the main reasons AI initiatives fail is an absence of well-defined objectives. It's easy to be swept up in the hype — launching pilot projects or deploying experimental chatbots simply to ‘get started’. But without clear understanding of the areas AI can most effectively enhance, investments will likely devolve into fragmented ...