How mid-market companies can capitalize on their AI advantage
Three barriers are keeping mid-market businesses stuck in AI pilot purgatory and how to overcome them.
Recent research indicates that 90% of mid-market firms that have delved into AI are still in the early stages or experiencing stalled pilots. Despite their agility, many remain stuck in the experimental phase. This stagnation stems from uncertainty about where to begin, which technologies to adopt, and how to invest with confidence.
To overcome this stagnation, three root causes must be addressed: building the right expertise and skillsets, establishing robust data and technology foundations, and ensuring proper governance guardrails are in place. Mid-market companies possess agility that allows them to act quickly and deploy AI in targeted ways, but they often struggle with where to start and how to invest.
Many lack concrete knowledge in areas such as integration or change management, despite feeling confident in their capabilities. To tackle data and technology foundations, robust data and technology frameworks are crucial. However, many mid-market firms face challenges like legacy technology, poor data quality, and incomplete guardrails.
Addressing these issues, along with governance, ethics, security, and privacy, can help mid-market companies accelerate their AI pilots into full deployment and achieve measurable, sustainable value from their AI investments.
Written by urgent.news from TechRadar's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
