London Business School Executive Generative AI Masterclass
London Business School
Faculty Experts in Generative AI
Day 1 – Heiko Hotz
Value Creation Use Cases – Internal and External
Streamlining operations:
How Generative AI can enhance efficiency internally.
Enhancing quality:
The role of Generative AI in quality improvement.
New opportunities:
Using Generative AI to identify new markets and customer segments.
Creating value:
Ways in which Generative AI can drive business value.
Case Studies:
Review of Generative AI applications across various industries.
Navigating the Ethical Landscape
Ethical implications:
The moral and ethical aspects of using Generative AI.
Legal considerations:
The legal landscape, including privacy and copyright issues.
Understanding the regulatory landscape for Generative AI:
Review of current regulations and their implications.
Mitigating risks:
Strategies to address potential risks associated with AI adoption.
Responsible use of AI:
Building a framework for the ethical and responsible use of AI within organisations.
Day 2 – Ioannis Ioannou
Identifying and Exploiting AI Opportunities
Strategy in an Age of AI: Building a Practical Foundation:
Understanding how AI changes traditional strategy frameworks and where competitive advantage can come from.
Three Roles for AI in a Decision: Search, Critic, Adversary:
Using AI to expand options, challenge reasoning and test strategic decisions.
Deployment Risks: Over-Reliance and the Persuasion Trap:
Understanding the risks of over-reliance on AI and learning to critically assess confident but potentially inaccurate outputs.
From Insight to Application: Scenarios and Business Models:
Building scenarios, identifying leading indicators and stress-testing business models and capabilities with AI.
Commitments under Uncertainty and the Adversary Panel:
Exploring strategic commitments under uncertainty and challenging decisions through an AI-powered adversarial approach.
Strategic Implications: AI and Competitive Advantage:
Understanding how AI priorities can support durable sources of competitive advantage and strengthen business models.
Heiko Hotz is an Affiliate Lecturer at London Business School and a Generative AI Global Blackbelt at Google Cloud, where he builds production AI systems and advises enterprise customers on Generative AI adoption and transformation.
An AI leader and hands-on practitioner with over 23 years in technology and more than nine years focused on machine learning and AI, he combines deep engineering experience with strategic advisory. He also writes for O’Reilly and is co-authoring a book on real-time AI agent systems.
At LBS, Heiko developed and teaches “Generative AI Product Design”, a hands-on course covering large language model fundamentals, retrieval-augmented generation, AI agents, evaluation, and LLMOps, and delivers sessions for the Executive Education programme that help C-level leaders translate complex, ambiguous questions into effective, business-aligned AI solutions. Before academia, he held senior AI and data science roles at Amazon, AWS, and now Google Cloud, having begun his career as a software engineer and management consultant across the energy, financial, and technology sectors.
At Google Cloud, Heiko has grown enterprise Generative AI adoption at scale, authored the official reference architecture for the Gemini Live API, and acts as a “voice of the developer” shaping the Gemini product roadmap. He is a widely-read author and speaker on Generative AI architecture, AI agents, and multimodal systems, and founded NLP London, the city’s leading community for natural-language-processing practitioners. He holds an MBA from London Business School and a Master’s in Theoretical Physics and Computer Science.
Ioannis Ioannou is a tenured Associate Professor of Strategy and Entrepreneurship at London Business School and an Associate Editor of Management Science and the Strategic Management Journal. His research examines where competitive advantage comes from and how it is sustained, with a particular focus on sustainability and responsible business.
His work has been cited more than 20,000 times, placing him among the top 0.1 per cent of most-cited researchers worldwide.
At London Business School, Ioannis teaches strategy on the MBA and Executive MBA programmes and across Executive Education, where he has worked with more than 1,000 senior leaders and board members.
He designs and delivers custom and open programmes on strategy under uncertainty, scenario planning and business model resilience, including a full-day format in which leadership teams develop strategy with Generative AI built into every step.
His online course on Sustainability Leadership and Corporate Responsibility received the Financial Times Responsible Business Education Award in 2025.
Beyond the School, he co-chairs the Sustainability Advisory Panel at Merck KGaA and serves on the Advisory Council of the European Institute of Management and Finance and the World Economic Forum Expert Network on Sustainable Development.
He writes regularly for Forbes, the Financial Times and Project Syndicate, and holds a BA from Yale University and a PhD in Business Economics from Harvard University and Harvard Business School.