When it comes to artificial intelligence (AI) adoption, there is a growing gap between the haves and the have-nots. According to IBM, the global AI adoption rate went up by 4 percentage points in 2022, reaching nearly 35%. However, the study also found that the gap in AI adoption between larger and smaller companies also grew significantly in the past year. AI projects generally take months to develop and mature, bringing a long gestation period and significant expenses. That’s where AI-as-a-service (AIaaS) comes in: It was born out of a desire to democratize AI for all while addressing the growing demand for AI, cognitive computing and large-scale adoption of cloud-based solutions.
