Zurück / 1-Hour AI-Powered Treasury Workshop: Dec 9, 2024
1-Hour AI-Powered Treasury Workshop: Dec 9, 2024
Overview
Artificial Intelligence is redefining the landscape of treasury management. This 1-hour interactive workshop invites you to step into the future – where AI and Python are not just tools, but catalysts for innovation and efficiency in your treasury operations. Whether you’re a regular AI user or new to these technologies, this session will inspire you to think creatively, innovate boldly, and embrace AI as a powerful tool for driving your organisation forward. Attending as a team will amplify your impact, fostering a culture of innovation and collaboration.
Agenda
Join our exclusive 1-hour webinar
Introduction to LLMs and AI
First Half Hour - 0,5 hours1. Introduction to LLMs
→ Objective: To inspire experimentation with large language models (LLMs) to speed innovation and achieve quick wins.
→ Outcome: By the end of this session, you won’t just understand LLMs – you’ll have a hands-on experience that opens new avenues for how AI can seamlessly integrate and elevate your treasury operations.
Python for Treasury
Second Half Hour - 0,5 hours2. An introduction to Python aided by LLMs
→ Objective: To introduce participants to Python and its capabilities, especially when combined with the power of LLMs, for enhanced data analysis in treasury.
→ Outcome: By the end of this session, you’ll have a hands-on understanding of Python’s capabilities in treasury management, supported by the assistance of LLMs, empowering you to enhance your data analysis and decision-making processes.
Instructor
Jessica Campbell
Jessica is an experienced teacher and data scientist who specialises in Python analysis, visualisation and automation. As a former quantitative research scientist, she has been recognised with several Awards for her presentation work, her ability to communicate technical concepts to non-technical audiences, and her contributions to diversity, equity, and inclusion. She holds a PhD in Astronomy & Astrophysics from the University of Toronto with numerous publications in esteemed research journals.
