This article was written for CMSwire by Greg Kihlström. Read the full article here.

We are ostensibly at the peak of AI hype, driven heavily by the rapid adoption of generative AI in both the consumer and business space. But hype does not necessarily equate to understanding, as a study of more than 500 business decision-makers across enterprises worldwide, conducted by research firm Savanta for Pega shows.

The majority (82%) of those surveyed expect that AI adoption and usage will be responsible for up to half of their increased profits over the next three years. Building on this, an even greater majority (93%) claim to have a good understanding of what AI is and how it works, yet only 35% could provide an accurate definition of generative AI. The risk of this knowledge gap between the reality of AI and potential AI applications and benefits only stands to hurt companies that stand to gain by its strategic adoption.

Let’s explore a few areas where the delta between AI knowledge and its potential application can affect the enterprise. We'll examine some AI challenges caused by this knowledge gap and some missed opportunities. 

This article was written for CMSwire by Greg Kihlström. Read the full article here.