AI Strategy for CEOs: Aligning Tech with Business Goals

by Charles Humble , Associate Editor

Join Phil Winder and Charles Humble in this insightful interview as he delves into the critical components of an enterprise AI strategy, based upon his excellent article on the subject.

Gain actionable insights on aligning AI with your business goals, building robust data infrastructure, and prioritizing projects based on ROI. Learn about MLOps, AI security, and the role of generative AI and reinforcement learning across industries.

Charles addresses key challenges like AI talent acquisition, governance, and ethical considerations. Perfect for CTOs and CEOs, this discussion will help you navigate the complexities of AI implementation in your enterprise.

Based upon his excellent article on the subject, I will be discussing the following questions:

  1. How do I assess if AI aligns with my company’s long-term strategic goals?
  2. What steps should I take to prepare my data infrastructure for AI adoption?
  3. How should I approach AI talent acquisition or training within my organization?
  4. What role will MLOps play in scaling AI across my business?
  5. How can AI improve operational efficiency in my specific industry?
  6. How do I prioritize AI projects based on ROI?
  7. What are the key AI security risks I need to mitigate?
  8. How do generative AI models apply to my company’s use cases?
  9. What industries are successfully leveraging reinforcement learning, and how can I apply it?
  10. How do I ensure AI governance and ethical compliance throughout implementation?

More articles

Getting Enterprise AI Strategy Right

A practical guide to building a successful enterprise AI strategy. Leverage generative AI, MLOps, and ML in real-world business applications.

Read more

Artificial Intelligence in the Future of Supply Chains

Discover how AI and generative AI are revolutionizing supply chains, optimizing inventory, demand, and logistics.

Read more
}