Brochure
AI in Treasury — Glossary
Plain-English reference for AI, machine-learning and data terminology as it applies to corporate treasury. A fast orientation for treasurers joining the AI conversation.
What's inside
A working glossary of AI, machine-learning and data-engineering concepts, defined specifically for treasury contexts rather than generic tech.
Useful for treasury teams starting to scope AI initiatives, boards needing to vet vendor claims, and practitioners translating between the data-science and finance sides of the house.
- AI Agents, Autonomous Finance, Generative AI, LLMs
- Supervised, unsupervised and reinforcement learning — with treasury examples
- Data foundations: DataFrames, ETL, Data Lake, Data Warehouse, Data Pipelines
- Feature engineering, neural networks and predictive analytics
- NLP, sentiment analysis, tokenisation and real-time treasury
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