About this Presentation
While the use of AI in quantitative analysis has for long been on the rise, this has until very recently not been practical when it comes to qualitative reasoning. Most of the information used in management decision-making is tacit information, which never finds its way into structured databases. While robust structured analysis frameworks such as the TOC Thinking Processes / Logical Thinking Process do exist, using them is both time-consuming, intellectually demanding and often bias-prone. The new Large Language Models (LLMs) such as ChatGPT can be used in various ways to assist with building and scrutinizing logic trees. Taking advantage of them reduces the time spent building trees, improves logical connections and helps reduce bias. In this presentation Thorsteinn will discuss in what ways LLMs can be used to build, scrutinize and improve logic trees, and how to correctly prompt the models for optimal results, using real-life examples
What Will You Learn
To help you get the most value from this session, we’ve highlighted a few key points. These takeaways capture the main ideas and practical insights from the presentation, making it easier for you to review, reflect, and apply what you’ve learned.
AI has been a part of management for a long time, but the advent of large language models is bringing about a fundamental change.
AI can now be used not only in quantitative analysis, but also in qualitative analysis, which is a game changer.
AI can help in scrutinizing logic trees, checking for invalid causality, checking for incomplete statements, and identifying missing premises.
Instructor(s)
Thorsteinn Siglaugsson
Thorsteinn Siglaugsson is an accomplished independent strategy consultant and corporate trainer, specializing in improving performance and guiding C-level executives. With a focus on clarifying focus, identifying core issues, and developing robust strategies, he assists management in overcoming obstacles to success. Thorsteinn employs the methodology of the Theory of Constraints and the Logical Thinking Process to analyze and address constraints, conflicts, and underlying issues, providing a solid foundation for sustainable results. Since 2006, Thorsteinn has worked with numerous companies across various industries, offering his expertise in planning, forecasting, budgeting, software project management, and implementation. As an independent strategy consultant, he has undertaken diverse projects including analysis and improvement, strategy formulation, process enhancement, asset valuation, and IT implementation. Additionally, as an independent corporate trainer, Thorsteinn has conducted training programs on planning, budgeting, and the Logical Thinking Process for educational institutions and companies. Thorsteinn holds an MBA from INSEAD and a BA in Philosophy from the University of Iceland. He has acquired certifications such as the Goal Systems International Certificate of Mastery in the Logical Thinking Process. In addition to his work, Thorsteinn actively contributes to the field, publishing insightful articles and research essays in various local and international publications. He is a board member of Excellence Iceland, serving in the Strategy and Performance Management Group, and chairs the Icelandic Free Speech Association. Thorsteinn also participates in the Artificial Intelligence Group as a board member.