Program: April 20 2024
Home / Program Day 3
Morning: 9:00-9;45 AM
Brady Ginourides
Putnam, Boston
In this talk, we explore how Large Language Models (LLMs) are reshaping the cryptocurrency landscape. From enhancing trading strategies through sentiment analysis to augmenting security measures via anomaly detection in blockchain networks, LLMs offer unprecedented potential. We discuss their role in smart contract development, ethical considerations, and future opportunities. By leveraging LLMs, we can navigate towards a future where AI-powered crypto applications drive innovation, efficiency, and security.
Morning: 10:00-10:45 AM
Max Somes
Microsoft, San Francisco
We will detail how five innovation-minded companies across diverse sectors are applying optimization techniques, often in combination with machine learning, to effectively manage operations while balancing efficiency, service level and other KPI targets, even amidst operational disruptions and demand shifts. These case studies from recognizable brands span workforce and manufacturing planning and scheduling use cases.
Morning: 11:00-11:45 AM
Mindy Baenes
CME, Chicago
With the sudden rise of ChatGPT and large language models (LLMs), practitioners are using these tools for all aspects of engineering. This includes leveraging LLMs for creating software artifacts such as requirements documents, source code, and tests; reviewing them for issues and making corrective suggestions, and analyzing or summarizing results or outcomes. However, if LLM's are not fed good prompts describing the task that the AI is supposed to perform, their responses can be inaccurate and unreliable.
Afternoon: 2:00-2:45 PM
Simon Jones
BMO, Montreal
Have you ever gotten into an argument on whether or not Die Hard is a Christmas movie and thought "If only machine learning could help" or "What could I do to automate my dog's daily routine and make his life easier" or "Is it possible to spend 3 months time to determine if I can sleep in 5 minutes tomorrow morning"? If so, you might get along with Matt Eland. Come join this lighthearted talk for an exploration.
Afternoon: 3:00-3:45 PM
Hemant Nayak
GS Trading, New York
This talk delves into the transformative impact of Large Language Models (LLMs) on cryptocurrency trading strategies. By harnessing LLMs for sentiment analysis and predictive modeling, traders can decipher market trends, news sentiment, and social media chatter to inform their decisions. We explore how LLMs are revolutionizing trading by offering real-time insights, enhancing risk management, and optimizing investment strategies. With LLMs, traders can navigate the volatile crypto market with greater confidence and agility, ushering in a new era of data-driven trading.
Afternoon: 4:00-4:45 PM
Sash Sarangi
EMAlpha, Atlanta
EMAlpha is a pioneer in multilingual AI and its applications to financial industry. Information discovery is a big challenge in emerging markets due to the local language barrier. EMAlpha provides EM risk datasets with various underlying themes, thus providing extensive coverage of emerging market companies. EMAlpha’s Multilingual Large Language Model (LLM) services encompass a comprehensive suite of knowledge discovery solutions designed to facilitate knowledge sharing, learning, knowledge capture and storage, strategy development, and collaboration.
Evening: Networking 1
Technology Focus
CME Large Hall
Networking event for business leaders from technology sector.
Evening: Networking 2
Finance Focus
CME Blue Room
Networking event for business leaders from finance sector.
Evening: Networking 3
AI Focus
CME Yellow Room
Networking event for business leaders from AI sector.
Brady Ginourides
Max Somes
Mindy Baenes
Simon Jones
Hemant Nayak
Sash Sarangi
Supporters
Interested in attending?
This is an invitation only event. Please email us for details.