

AI Governance and Strategy for Long-Term Impact - with Steven Eliuk of IBM
16 snips Dec 24, 2024
Steven Eliuk, VP & CTO for AI at IBM, shares his expertise on the complexities of operationalizing AI in enterprises. He emphasizes the importance of executive AI fluency for transforming AI into a strategic asset. The discussion highlights aligning technical choices with business goals and the need for rigorous validation of AI models. Steven also tackles effective data infrastructure for scaling AI while managing costs and avoiding pitfalls. His insights provide a roadmap for organizations aiming to successfully navigate AI-driven transformation.
AI Snips
Chapters
Transcript
Episode notes
Data Due Diligence
- Consider data implications like origin, usage, and licensing.
- Address potential consequences of AI model inaccuracies.
AI Fluency
- Executive AI fluency is crucial for turning AI into strategic advantages.
- It's different from technical skills; it's about connecting AI to business value.
Independent Validation
- Engage independent experts to validate AI project claims.
- Ensure the expertise aligns with your specific domain, not just general AI knowledge.