Part 7/12:
Data Quality Experts should focus on bias mitigation and annotation automation.
Teams need to reframe job descriptions, emphasizing AI readiness and integration, and prioritize acquiring new skills—often through partnerships—since these skills are scarce.
3. Internal Structuring and Empowerment
Workforce restructuring involves creating cross-disciplinary teams that include AI strategists, process owners, and business line leaders. Embedding AI into core business operations ensures sustainable engagement and ownership.
4. Strategic Prioritization and Use Case Selection
Given the plethora of potential applications, ruthless prioritization is vital:
- Focus first on domain-specific, high-ROI use cases where AI already demonstrates effectiveness.