“Management’s Outlook: The Business, Economics, and Strategy of Generative AI”
This workshop is part three of a four-part series.
Goal: Understand how AI will change the future of work and where one’s own corporation sits in the AI value chain, if at all; examine how the economics of generative AI interplay with products and services provides and be able to estimate exact costs of products; when does it make sense to be open source?
Prerequisites: Workshop 1-2 completed; purchase of the HBS HuggingFace case
The instructor delivering the workshop on behalf of 387labs is Tim Valicenti. Tim is the creator and an instructor of MIT’s first course exclusively designed around generative AI called Generative AI for Managers.
Topics included throughout the workshop series include:
- Understand the differences between classic machine learning and modern generative AI
- Overview of various use cases of AI (along with some dangerous pitfalls made by big companies)
- Understand – without doing any math – how ChatGPT was trained, on what data, and why now
- Equip managers and teams with the know-how of how to prompt LLMs effectively
- Working With AI Models and LLMs (hands-on)
- Understand how AI will change the future of work and where one’s own corporation sits in the AI value chain
- There is more to generative AI than LLMs: RAG systems and AI agents
Sections:
- Module 1: The AI Value Chain
- Module 2: Value Chain Workshop (hands-on)
- Module 3: The Economics of Generative AI
- Module 4: HuggingFace and Open Source Case (discussion)