GenAI adoption 2024:
Challenges with enterprise data

When looking at GenAI adoption, the overwhelming majority—86%—are opting to augment their LLMs, using frameworks like Retrieval Augmented Generation (RAG), recognizing that out-of-the-box models often lack the customization needed to meet specific business needs.

We see a strong momentum in adopting RAG for pilot projects, particularly in industries where data privacy and response accuracy are critical. The transition to full production is still limited, reflecting the complexities of scaling these technologies.

The survey reveals a unique set of challenges specific to enterprise application data, including scalability, data quality, and real-time access. Organizations have yet to fully address these unique challenges.