Program: April 18 2024
Home / Program Day 1
Morning: 9:00-9;45 AM
Vinay Ambar
Putnam, Boston
Join Vinay as he proposes a human-focused approach to AI, capitalizing on humans’ ability to innovate, learn, communicate, and share and AI’s ability to process and evaluate huge swaths of data swiftly to help in decision-making. Through practical insights, attendees will gain a nuanced understanding of the challenges associated with implementing AI and strategic steps required for successful integration.
Morning: 10:00-10:45 AM
James Salokes
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
Sarah Joules
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
Hooman Dijones
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
Naveen Vinayak
Point 83, New York
Facing the dual challenge of enhancing deployment quality without extending regression testing time, Naveen Vinayak's team turned to automation. The team consisted mainly of manual QA professionals with a background in UI testing, not automation engineering. The question was how to leverage the existing team's skills to test services layers and develop stable release automation scripts. Utilizing prior experience in building Postman automation frameworks, they aimed to empower the team.
Afternoon: 4:00-4;45 PM
Mary Droland
CME, Chicago
With the foundational knowledge in place, they utilized TeamsGPT to craft scripts, requiring only minor refinements from the team. This approach enabled them to incorporate automation alongside development, ensuring tests were ready for the subsequent regression cycle. Join Mary as she demonstrates these practical steps, showcasing how organizations can introduce efficient automation at minimal cost. included adopting Postman as the primary API testing tool and integrating TeamsGPT, an adapted version of ChatGPT for enterprise use.
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.
Vinay Ambar
James Salokes
Sarah Joules
Hooman Dijones
Naveen Vinayak
Mary Droland
Supporters
Interested in attending?
This is an invitation only event. Please email us for details.