Bridging the AI adoption gap: turning experiments into enterprise value
SMRTR summary
AI adoption faces challenges despite its potential to streamline operations and enhance decision-making. Only 26% of companies have achieved tangible results beyond proofs of concept. To bridge the adoption gap, businesses need clear objectives, centralized knowledge, employee engagement, and flexible measurement of impact. Success requires strategic intent, robust data foundations, and a culture of continuous improvement.
SMRTR provides this summary for quick context. The original article belongs to TechRadar.
Read the original article