Part 6/11:
Participants underscored that, despite the complexity, organizations need to start their AI journeys without waiting for perfect data. As Keith from Nokia noted, data is never fully clean or complete; the key lies in incremental progress by focusing on high-value use cases, building observability into data processes, and deploying a pragmatic build-versus-buy approach. Establishing environments for experimentation allows companies to learn and adapt swiftly, even amid regulatory constraints.