Taking advantage of AI doesn’t require a technical overhaul to make significant differences for teams and customers.
When organizations discuss the potential of artificial intelligence (AI), a common question is what technology must be adopted to derive the most advantages from using it. It’s an interesting consideration, but it assumes that an organization needs to have an enterprise data warehouse or customer data platform or that it needs to build its own large language model (LLM) as an entry-level requirement for using its data with emerging solutions. However, a good entry point might already exist within an organization’s stack.