Challenges can include data integration complexities, technical hurdles, organizational resistance, regulatory unknowns and ethical risks like bias. Thorough planning, starting small to test and providing AI training helps mitigate pitfalls. Developing rigorous data governance and being transparent about AI processes promotes trust.