Gaps in basic AI understanding reveal room for growth
The research reveals organizations worldwide are embracing AI across various CRM use cases. But, it’s not all smooth sailing. The research uncovers critical gaps that could impact the success of AI adoption in CRM.
Here’s a striking revelation: Despite all respondents making plans to adopt AI, only half were able to choose the correct definition for both predictive and generative AI when presented with both side by side.
Predictive AI: analyzes existing data to make forecasts
Generative AI: creates new content based on learned patterns
Considering that an AI strategy likely encompasses both afghanistan phone number list types of AI models – which serve specific purposes and goals – this signals an opportunity for more comprehensive education. People need to know the specific use cases each type of AI enables, the anticipated business outcomes, and how to design a strategic plan for AI grounded in those goals.
Another key finding is the significant gap in data maturity and readiness. While 92% of leaders emphasize the importance of a robust data strategy, only 34% claim to have one implemented across their business. Bridging this gap is crucial to using AI effectively.