London Business School

Faculty Experts in Generative AI

Day 1 – Keyvan Vakilli

Decoding Generative AI

Unpacking Generative AI:
Understanding Generative AI’s building blocks and how it differs from previous AI technologies.

Exploring the capabilities:
A deep dive into what Generative AI can do and what it cannot do.

Discussing insights:
Exploring recent studies and what they reveal about the impact of Generative AI across different applications.

Exploring strategic impact:
How organizations are rethinking work structures and encouraging leadership to embrace Generative AI.

Hands-on Application with Generative AI

Understanding Generative AI’s practical use:
Real-world examples of Generative AI applications.

Guided Application:
Exploring how Generative AI can be used in a controlled environment.

Integrating Generative AI into personal workflows:
Capturing ideas on how Generative AI can be used in everyday work.

Identifying use cases:
Discussion on potential use cases within participants’ organisations and industries.

Day 2 – 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.

Dr Keyvan Vakili is an Associate Professor of Strategy and Entrepreneurship and the Academic Co-Director of the Data Science & AI Initiative at London Business School.

His research focuses on innovation, digital technologies, and artificial intelligence. He has published extensively in leading strategy and management journals. Beyond research, he is actively involved in developing AI solutions and initiatives at LBS, helping to shape the school’s approach to data science and emerging technologies.

At LBS, Keyvan teaches executives and senior leaders on digital transformation, artificial intelligence, and competitive strategy, drawing on both his academic expertise and practical experience. Before academia, he founded a video game production company that was later acquired by Samsung and worked as a consultant across various industries, including automotive, energy, education, and technology. Today, he serves on the advisory boards of companies in Agentic AI, healthcare, and finance domains, bridging his academic insights with real-world innovation.

In his research, Keyvan studies how collaboration, team design, and incentives shape innovation and creative breakthroughs. In a separate research stream on digital platforms, he investigates how platform’s governance choices can drive growth, and at the same time lead to myopic behaviour by platform participants. Ongoing work explores novelty vs. impact in creative settings, quality trade-offs in patent and technology races, and the workforce implications of generative AI.

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.

London Business School Executive Generative AI Masterclass