The Intelligent Series AI Leadership

Ritchie Wingo
  • 5.0 (1)
  • Management
  • Semiweekly

AI leadership for Nigeria's energy sector, from Coach Ritchie and author Ritchie Wingo. The Intelligent Series AI Leadership unpacks the 13 books of The Intelligent Series, from oil and gas, refining and petrochemicals to terminals, trading and power, in practical conversations for CEOs, MDs and senior managers. Each episode turns one big idea from the books into decisions you can act on. Episodes are AI-voiced discussions of the books. Books and free leadership programmes: intelligent-ai-leadership.com

  1. 1d ago

    The Intelligent AI Governance, Part 5: Buying, Monitoring, Assurance and the Board

    What should a board see before it trusts an AI portfolio, and what should a leader do in the first ninety days? The season finale on Ritchie Wingo's The Intelligent AI Governance goes deep on chapters 24 to 32: buying AI without buying unsupported claims, monitoring outcomes and responding to incidents, assurance, audit and the limits of certification, two completed release decisions, portfolio control and the board report, the first ninety days, capability maturity and a culture of correction, and what remains unresolved. It closes by drawing the five parts into the first actions a leader should take. Previous: Part 4, Generative AI, Agents, Security and Human Oversight. The book and its free companion leadership programme: https://intelligent-ai-leadership.com This episode is an AI-voiced discussion of the book, created with Google's Gemini Notebook from Ritchie Wingo's text, introduced and closed by Ritchie Wingo. Worked examples in the book are illustrations, not reported company results.

  2. 1d ago

    The Intelligent AI Governance, Part 4: Generative AI, Agents, Security and Human Oversight

    When AI can draft, retrieve and act on its own, where should its authority stop, and who can still say no? Part 4 of 5 on Ritchie Wingo's The Intelligent AI Governance goes deep on chapters 17 to 23: evaluating the complete generative system, retrieval and controlled knowledge, agents that need enforceable authority, security and adversarial evaluation, privacy beyond removing names, industrial AI and the engineering boundary, and human oversight with the capacity to challenge. For leaders in Nigerian oil, gas and power. Previous: Part 3, Measuring Whether AI Works. Next: Part 5, Buying, Monitoring, Assurance and the Board. The book and its free companion leadership programme: https://intelligent-ai-leadership.com This episode is an AI-voiced discussion of the book, created with Google's Gemini Notebook from Ritchie Wingo's text, introduced and closed by Ritchie Wingo. Worked examples in the book are illustrations, not reported company results.

  3. 1d ago

    The Intelligent AI Governance, Part 3: Measuring Whether AI Works

    How do you know an AI model actually works, and that it is improving the business rather than just scoring well on a test? Part 3 of 5 on Ritchie Wingo's The Intelligent AI Governance goes deep on chapters 9 to 16: defining the target before measuring accuracy, metrics, thresholds and the cost of error, statistical uncertainty and validation design, calibration, distribution shift and feedback, fairness with explicit trade-offs, why explanation is not causation, and experiments that prove business improvement. For leaders in Nigerian oil, gas and power. Previous: Part 2, Accountability, Evidence and Risk. Next: Part 4, Generative AI, Agents, Security and Human Oversight. The book and its free companion leadership programme: https://intelligent-ai-leadership.com This episode is an AI-voiced discussion of the book, created with Google's Gemini Notebook from Ritchie Wingo's text, introduced and closed by Ritchie Wingo. Worked examples in the book are illustrations, not reported company results.

  4. 1d ago ·  Bonus

    Why the AI Operating Model Is Bigger Than IT | Bonus Episode

    An AI system flags a pump that may be developing a fault. The pump is still running and production is on plan. Who checks the warning, who has the authority to act, and who answers for the decision? In this solo bonus episode of The Intelligent Series AI Leadership Podcast, Ritchie Wingo uses that oil and gas scenario to explain why the AI operating model is bigger than IT. He draws on his experience in operations and ERP to show how business leaders, technology teams, and frontline staff share responsibility when AI starts influencing real work. The episode also looks at what changes when you scale a pilot across assets, joint ventures, or production sharing contracts. It closes with five questions you can take into your next AI review, from naming the business owner to deciding who can pause the system and when.

  5. 2d ago

    The Intelligent AI Governance, Part 2: Accountability, Evidence and Risk

    Before any AI system goes live, who owns the decision, and what evidence proves it is fit for purpose? Part 2 of 5 on Ritchie Wingo's The Intelligent AI Governance goes deep on chapters 1 to 8: the decision that requires governance, accountability and executive authority, an evidence contract for every deployment, value without exaggerated promises, risk classification that does not average away harm, mapping obligations before claiming compliance, standards as evidence architecture, and inventory, data and lifecycle control. For leaders in Nigerian oil, gas and power. Previous: Part 1, The Big Ideas. Next: Part 3, Measuring Whether AI Works. The book and its free companion leadership programme: https://intelligent-ai-leadership.com This episode is an AI-voiced discussion of the book, created with Google's Gemini Notebook from Ritchie Wingo's text, introduced and closed by Ritchie Wingo. Worked examples in the book are illustrations, not reported company results.

  6. 2d ago

    The Intelligent AI Governance: The Big Ideas

    Who is accountable when an AI system makes a decision in your business, and what evidence should you demand before anyone deploys it? Season 10 opens with the big ideas from Ritchie Wingo's The Intelligent AI Governance: the book's central argument, its key frameworks and the most practical decisions it asks leaders to make, from evidence contracts and honest risk classification to testing, oversight and assurance that a board can rely on. For CEOs, MDs and senior managers in Nigerian oil, gas and power. Next: Part 2, Accountability, Evidence and Risk. The book and its free companion leadership programme: https://intelligent-ai-leadership.com This episode is an AI-voiced discussion of the book, created with Google's Gemini Notebook from Ritchie Wingo's text, introduced and closed by Ritchie Wingo. Worked examples in the book are illustrations, not reported company results.

  7. 2d ago

    The Intelligent Cybersecurity, Part 5: Economics, Assurance, People and the First Ninety Days

    How do you justify cyber spend to a board, prove your defences actually work, and know what to do in your first ninety days? The season finale of Ritchie Wingo's The Intelligent Cybersecurity goes deep on chapters 21 to 24: investing with transparent economics, building assurance that can withstand challenge, developing people and a security culture they can actually use, and executing the first ninety days. It then draws all five parts together into the actions a leader should take first. For leaders in Nigerian oil, gas and power companies. Previous: Part 4, Incident Command, Containment and Recovery. The book and its free companion leadership programme: https://intelligent-ai-leadership.com This episode is an AI-voiced discussion of the book, created with Google's Gemini Notebook from Ritchie Wingo's text, introduced and closed by Ritchie Wingo. Worked examples in the book are illustrations, not reported company results.

  8. 2d ago

    The Intelligent Cybersecurity, Part 4: Incident Command, Containment and Recovery

    When an attack lands, who is in command, and how do you contain it without creating a second incident? Part 4 of 5 on Ritchie Wingo's The Intelligent Cybersecurity goes deep on chapters 17 to 20: establishing incident command before the event, containing without causing further harm to operations, proving recovery at the business level rather than the technical one, and communicating with accuracy to preserve the trust of regulators, partners and staff. For leaders in Nigerian oil, gas and power companies. Previous: Part 3, AI for Detection and Securing AI Itself. Next: Part 5, Economics, Assurance, People and the First Ninety Days. The book and its free companion leadership programme: https://intelligent-ai-leadership.com This episode is an AI-voiced discussion of the book, created with Google's Gemini Notebook from Ritchie Wingo's text, introduced and closed by Ritchie Wingo. Worked examples in the book are illustrations, not reported company results.

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AI leadership for Nigeria's energy sector, from Coach Ritchie and author Ritchie Wingo. The Intelligent Series AI Leadership unpacks the 13 books of The Intelligent Series, from oil and gas, refining and petrochemicals to terminals, trading and power, in practical conversations for CEOs, MDs and senior managers. Each episode turns one big idea from the books into decisions you can act on. Episodes are AI-voiced discussions of the books. Books and free leadership programmes: intelligent-ai-leadership.com

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