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Early days for AI: Only 25% of enterprises have deployed, few reap rewards
Vellum polled 1,250 AI developers to understand what’s happening in the AI trenches, including techniques, use cases and challenges.
According to the report, the majority of companies still in production are in various stages of their AI journeys — building out and evaluating strategies and proofs of concept (PoC) (53%) beta testing (14%) and, at the lowest level, talking to users and gathering requirements (7.9%). Still, enterprises continue to face big challenges — notably around AI hallucinations and prompts; model speed and performance; data access and security; and getting buy-in from important stakeholders. Sharma pointed out that “lack of technical expertise becomes easier when you have proper tooling that can guide you through the development journey.” In addition to Vellum, frameworks and platforms used by survey participants include Langchain, Llama Index, Langfuse, CrewAI and Voiceflow.
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