Part 4/12:
Alignment with Business Strategy: Many organizations lack a concrete translation of strategic roadmaps into AI deployment plans, leading to fragmented efforts that don’t align with overall business goals.
Data Readiness and Technical Maturity: Success hinges on having appropriate data sources, architectures, and skills. Data must be of high quality at source, and the organization needs to be equipped to scale AI solutions reliably.
Operational and Financial Considerations: Generative AI solutions can be expensive. Managing costs proactively—through thoughtful architecture and platformization—is crucial to avoid unforeseen budget overruns.