The Crucial Role of Data in Successful AI Adoption
AI implementation fails less from model limitations and more from weak data foundations, governance, and organizational readiness.
2024-12-1812 min
Read article Perspectives on AI, data, and strategy.
AI implementation fails less from model limitations and more from weak data foundations, governance, and organizational readiness.
A practical guide to overcoming organizational barriers and delivering AI initiatives that create measurable business value.
LLM costs are dynamic and non-linear; FinOps is essential to keep AI initiatives sustainable, accountable, and ROI-positive.
Why many LLM initiatives stall at proof-of-concept and how to prioritize use cases that create measurable business impact.