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Empowering Decision-Making with LLMs

Single course

Discover the transformative potential of Large Language Models (LLMs) in decision-making processes with our comprehensive training programme. In today’s fast-paced business landscape, the integration of LLMs into decision intelligence (DI) frameworks represents a paradigm shift, unlocking new avenues for data-driven insights and informed decision-making. This course offers a deep dive into the convergence of LLMs and decision intelligence, equipping decision-makers with the knowledge and tools needed to leverage LLMs effectively and navigate the complexities of integrating advanced AI models into decision-making processes.

This programme is led by two experts in AI and business strategy, bringing a unique blend of practical, field-tested expertise. Each session combines theoretical insights with actionable learning, offering participants the tools to apply LLM-driven techniques to real-world decision-making challenges. The format ensures a deep understanding of the subject, with immediate opportunities to implement the strategies discussed.

What you’ll learn

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Revolutionise Decision-Making

Understand how Large Language Models (LLMs) are enhancing natural language understanding (NLU), predictive analytics, and contextual reasoning to revolutionise decision-making processes.

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Accelerate Decision Intelligence

Explore the role of LLMs in decision intelligence (DI) and their potential to improve speed to market and enhance decision-making efficiency

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Navigate Integration Challenges

Gain insights into the challenges and considerations involved in integrating LLMs into decision intelligence projects.

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Strategise Successful Integration

Learn strategies for successfully integrating LLMs into existing decision-making frameworks and navigating domain-specific challenges.

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Develop a Deployment Roadmap

Create a roadmap for leveraging LLMs effectively, ensuring seamless deployment and maximising the impact of AI-powered decision-making processes.

Programme Overview

Week 1
Introduction to LLMs and Effective Prompting
Week 1
Introduction to LLMs and Effective Prompting

Learn the foundational concepts of Large Language Models (LLMs) and how they can be prompted to support decision-making. The session covers various prompting techniques for crafting precise, actionable prompts and explores ethical considerations in using AI-driven insights for business decisions.

Week 2
LLM-Powered Brainstorming and Problem Solving
Week 2
LLM-Powered Brainstorming and Problem Solving

Learn how LLMs can assist with brainstorming and out-of-the-box thinking through techniques like reverse brainstorming and counterfactual prompting, and how they support complex problem-solving with cross-disciplinary insights. Additionally, explore the investor decision-making workflow and how LLMs can enhance decision processes in investment strategies.

Week 3
LLM-Powered Data Analytics and Strategic Integration
Week 3
LLM-Powered Data Analytics and Strategic Integration

Learn how LLMs enhance human analytic thinking through specific prompting techniques, and explore practical examples of their use in real-world business strategy decisions, focusing on your own industry or organisational challenges.

Jan 15, 2025

Online

3 Weeks / 2-hour session per week

 399,00

Any questions? Contact us

Guiding Your Learning Journey

This programme is led by experts who bring a unique blend of AI and decision intelligence expertise.

Ben Smith
CTO of InReach Ventures

Ben Smith

Ben Smith is the Co-founder, Partner and CTO of InReach Ventures, an AI-powered Venture Capital firm investing in early-stage European companies. Before this he has been CTO in a number of startups and run large teams in massive companies. Ben is an expert on using AI for better strategic insight and smarter decision-making. He will explore how AI can support and enhance decision-making processes.

Cristiano De Nobili
Lead AI Scientist

Cristiano De Nobili

Cristiano is a theoretical physicist with a PhD in Quantum & Statistical Physics from SISSA in Trieste, Italy. With over seven years of experience in Deep Learning, he is currently the Lead AI Scientist at Pi School, working mainly on AI applied to environmental and climate challenges. He is a lecturer in Deep Learning at the Master in High Performance Computing (ICTP/SISSA, Trieste) and in Quantum Machine Learning at the Ca’ Foscari College School. His focus has always been on emerging technologies, AI and quantum technology, with collaborations ranging from the European Space Agency to the SIOS Remote Sensing Centre in Svalbard.

Data Scientist

Leading the way in AI innovation, this expert specializes in cutting-edge technologies like Large Language Models (LLMs). With a wealth of experience and deep expertise, they are uniquely positioned to provide you with invaluable insights and practical knowledge to navigate the intersection of AI and decision intelligence.

Decision-Making Professional with AI Integration Experience

Decision-Making Professional with AI Integration Experience: Bringing extensive experience in decision-making and a deep understanding of AI integration, this specialist bridges theory with practice. Their real-world insights and hands-on experience will empower you to harness the full potential of AI in decision intelligence, ensuring you are well-equipped to drive business success in today’s rapidly evolving landscape.

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