Part 8/13:
Talent remains the cornerstone of any AI initiative. The leader stressed that team members should be comprehensive AI professionals, capable of both applied research and business storytelling. This involves:
Developing domain expertise alongside technical skills.
Encouraging participation in conferences, research, and publishing.
Building exploratory, practical, and thought leadership capabilities.
Facilitating continuous learning to bridge gaps left by traditional education.
He highlighted the importance of investing deliberately in training that enhances domain understanding—so data scientists can communicate insights in a language relevant to stakeholders—and developing practical leadership for innovative AI discussions.