For Asset Management, Investor Relations, and Due Diligence Professionals
Struggling to navigate the AI jargon? You’re not alone. In a rapidly evolving landscape, understanding the language of Generative AI (GenAI) and Large Language Models (LLMs) is key to staying ahead. That’s why we created the GenAI & LLM Terms – Field Guide for DiligenceVault Users.
📘 What’s Inside?
This plain-English guide breaks down the most essential AI terms, with definitions and real-world industry specific analogies drawn from investment due diligence, IR, and asset management workflows. Whether you’re just getting started or refining your AI strategy, this guide is your foundation for:
- Understanding key AI concepts like LLMs, hallucination, fine-tuning, prompt engineering, and more
- Framing smarter internal conversations around AI use cases
- Empowering your teams to adopt GenAI tools strategically
Bridging the gap between technology and investment processes
✅ Who Should Use This Guide?
- If you are learning about AI as a business user
- If you are researching AI vendors for your due diligence or investor relations processes
- If you are tasked with integrating AI in your business processes
🧭 Why It Matters?
AI isn’t just a buzzword anymore. It’s reshaping due diligence, document analysis, and investor communication. But without the right knowledge, teams risk misunderstanding the tools or underutilizing their potential. This guide provides a practical foundation, so you can make smarter, faster, and more informed decisions.
Access the guide here: https://diligencevault.com/diligencevault-guide-genai-and-llm-terms/
Also, curious about how big is the TAM for GenAI for the asset management industry? We estimate it to be $45B. Here’s a quick read on our approach.