INFORMS Open Forum

Friends,

The Vice President and CEO of Innovation at Microsoft, Jason Wild, predicted that every job will be transformed by an existence of an AI co-pilot, driven by large language models (LLMs) such as ChatGPT (see Microsoft: Every job will have an artificial intelligence copilot).  Microsoft is already driving such a transformation by infusing ChatGPT technologies into office - see Microsoft co-pilot for work). 

When applying OR/analytics to solve real world problems, there are two fundamental roles: The business professional who makes the decision, and the OR/Analytics professional.

This got me thinking about the following questions: Can co-pilots for decision making, created by combining LLMs and OR techniques, and targeting these two roles, also transform the way decisions are made? How can a co-pilot for decision making provide value for the business professionals making such decisions? Can a co-pilot be created, to, for example, guiding analytics professionals in applying OR by, for example, walking them through the INFORMS CAP methodology in the context of the specific application? What other features should such co-pilots provide? 

For a couple of initial examples of how LLMs can be used in the context of decision making, see some of my experiments in using ChatGPT to create optimization models starting from minute 19 of the video here and ChatGPT Does Decision Intelligence for Net Zero).

Would love to hear your feedback!

Friends,

The Vice President and CEO of Innovation at Microsoft, Jason Wild, predicted that every job will be transformed by an existence of an AI co-pilot, driven by large language models (LLMs) such as ChatGPT (see Microsoft: Every job will have an artificial intelligence copilot).  Microsoft is already driving such a transformation by infusing ChatGPT technologies into office - see Microsoft co-pilot for work). 

When applying OR/analytics to solve real world problems, there are two fundamental roles: The business professional who makes the decision, and the OR/Analytics professional.

This got me thinking about the following questions: Can co-pilots for decision making, created by combining LLMs and OR techniques, and targeting these two roles, also transform the way decisions are made? How can a co-pilot for decision making provide value for the business professionals making such decisions? Can a co-pilot be created, to, for example, guiding analytics professionals in applying OR by, for example, walking them through the INFORMS CAP methodology in the context of the specific application? What other features should such co-pilots provide? 

For a couple of initial examples of how LLMs can be used in the context of decision making, see some of my experiments in using ChatGPT to create optimization models starting from minute 19 of the video here and ChatGPT Does Decision Intelligence for Net Zero).

Would love to hear your feedback!

Friends,

The Vice President and CEO of Innovation at Microsoft, Jason Wild, predicted that every job will be transformed by an existence of an AI co-pilot, driven by large language models (LLMs) such as ChatGPT (see Microsoft: Every job will have an artificial intelligence copilot).  Microsoft is already driving such a transformation by infusing ChatGPT technologies into office - see Microsoft co-pilot for work). 

When applying OR/analytics to solve real world problems, there are two fundamental roles: The business professional who makes the decision, and the OR/Analytics professional.

This got me thinking about the following questions: Can co-pilots for decision making, created by combining LLMs and OR techniques, and targeting these two roles, also transform the way decisions are made? How can a co-pilot for decision making provide value for the business professionals making such decisions? Can a co-pilot be created, to, for example, guiding analytics professionals in applying OR by, for example, walking them through the INFORMS CAP methodology in the context of the specific application? What other features should such co-pilots provide? 

For a couple of initial examples of how LLMs can be used in the context of decision making, see some of my experiments in using ChatGPT to create optimization models starting from minute 19 of the video here and ChatGPT Does Decision Intelligence for Net Zero).

Would love to hear your feedback!

Friends,

The Vice President and CEO of Innovation at Microsoft, Jason Wild, predicted that every job will be transformed by an existence of an AI co-pilot, driven by large language models (LLMs) such as ChatGPT (see Microsoft: Every job will have an artificial intelligence copilot).  Microsoft is already driving such a transformation by infusing ChatGPT technologies into office - see Microsoft co-pilot for work). 

When applying OR/analytics to solve real world problems, there are two fundamental roles: The business professional who makes the decision, and the OR/Analytics professional.

This got me thinking about the following questions: Can co-pilots for decision making, created by combining LLMs and OR techniques, and targeting these two roles, also transform the way decisions are made? How can a co-pilot for decision making provide value for the business professionals making such decisions? Can a co-pilot be created, to, for example, guiding analytics professionals in applying OR by, for example, walking them through the INFORMS CAP methodology in the context of the specific application? What other features should such co-pilots provide? 

For a couple of initial examples of how LLMs can be used in the context of decision making, see some of my experiments in using ChatGPT to create optimization models starting from minute 19 of the video here and ChatGPT Does Decision Intelligence for Net Zero).

Would love to hear your feedback!

Friends,

The Vice President and CEO of Innovation at Microsoft, Jason Wild, predicted that every job will be transformed by an existence of an AI co-pilot, driven by large language models (LLMs) such as ChatGPT (see Microsoft: Every job will have an artificial intelligence copilot).  Microsoft is already driving such a transformation by infusing ChatGPT technologies into office - see Microsoft co-pilot for work). 

When applying OR/analytics to solve real world problems, there are two fundamental roles: The business professional who makes the decision, and the OR/Analytics professional.

This got me thinking about the following questions: Can co-pilots for decision making, created by combining LLMs and OR techniques, and targeting these two roles, also transform the way decisions are made? How can a co-pilot for decision making provide value for the business professionals making such decisions? Can a co-pilot be created, to, for example, guiding analytics professionals in applying OR by, for example, walking them through the INFORMS CAP methodology in the context of the specific application? What other features should such co-pilots provide? 

For a couple of initial examples of how LLMs can be used in the context of decision making, see some of my experiments in using ChatGPT to create optimization models starting from minute 19 of the video here and ChatGPT Does Decision Intelligence for Net Zero).

Would love to hear your feedback!

Many thanks for the great comments!

Can you perhaps think of concrete examples of where such a co-pilot can help you as an analytics practitioner?

For example, think if we could  ask for a first draft of a presentation that explains the analysis results in terms that would be understandable to the business person who is trying to solve the problem, and is adapted to the specific problem, and have such a first draft ready in minutes.  Wouldn't this be great? Any other examples?

------------------------------
Segev Wasserkrug
Research Staff Member
IBM Research - Israel
Haifa

Original Message:
Sent: 05-10-2023 10:15
From: Segev Wasserkrug
Subject: Can Decision Making benefit from an AI driven co-pilot?

Friends,

The Vice President and CEO of Innovation at Microsoft, Jason Wild, predicted that every job will be transformed by an existence of an AI co-pilot, driven by large language models (LLMs) such as ChatGPT (see Microsoft: Every job will have an artificial intelligence copilot).  Microsoft is already driving such a transformation by infusing ChatGPT technologies into office - see Microsoft co-pilot for work). 

When applying OR/analytics to solve real world problems, there are two fundamental roles: The business professional who makes the decision, and the OR/Analytics professional.

This got me thinking about the following questions: Can co-pilots for decision making, created by combining LLMs and OR techniques, and targeting these two roles, also transform the way decisions are made? How can a co-pilot for decision making provide value for the business professionals making such decisions? Can a co-pilot be created, to, for example, guiding analytics professionals in applying OR by, for example, walking them through the INFORMS CAP methodology in the context of the specific application? What other features should such co-pilots provide? 

For a couple of initial examples of how LLMs can be used in the context of decision making, see some of my experiments in using ChatGPT to create optimization models starting from minute 19 of the video here and ChatGPT Does Decision Intelligence for Net Zero).

Would love to hear your feedback!

------------------------------
Segev Wasserkrug
Research Staff Member
IBM Research - Israel
Haifa
------------------------------

Friends,

The Vice President and CEO of Innovation at Microsoft, Jason Wild, predicted that every job will be transformed by an existence of an AI co-pilot, driven by large language models (LLMs) such as ChatGPT (see Microsoft: Every job will have an artificial intelligence copilot).  Microsoft is already driving such a transformation by infusing ChatGPT technologies into office - see Microsoft co-pilot for work). 

When applying OR/analytics to solve real world problems, there are two fundamental roles: The business professional who makes the decision, and the OR/Analytics professional.

This got me thinking about the following questions: Can co-pilots for decision making, created by combining LLMs and OR techniques, and targeting these two roles, also transform the way decisions are made? How can a co-pilot for decision making provide value for the business professionals making such decisions? Can a co-pilot be created, to, for example, guiding analytics professionals in applying OR by, for example, walking them through the INFORMS CAP methodology in the context of the specific application? What other features should such co-pilots provide? 

For a couple of initial examples of how LLMs can be used in the context of decision making, see some of my experiments in using ChatGPT to create optimization models starting from minute 19 of the video here and ChatGPT Does Decision Intelligence for Net Zero).

Would love to hear your feedback!

Friends,

The Vice President and CEO of Innovation at Microsoft, Jason Wild, predicted that every job will be transformed by an existence of an AI co-pilot, driven by large language models (LLMs) such as ChatGPT (see Microsoft: Every job will have an artificial intelligence copilot).  Microsoft is already driving such a transformation by infusing ChatGPT technologies into office - see Microsoft co-pilot for work). 

When applying OR/analytics to solve real world problems, there are two fundamental roles: The business professional who makes the decision, and the OR/Analytics professional.

This got me thinking about the following questions: Can co-pilots for decision making, created by combining LLMs and OR techniques, and targeting these two roles, also transform the way decisions are made? How can a co-pilot for decision making provide value for the business professionals making such decisions? Can a co-pilot be created, to, for example, guiding analytics professionals in applying OR by, for example, walking them through the INFORMS CAP methodology in the context of the specific application? What other features should such co-pilots provide? 

For a couple of initial examples of how LLMs can be used in the context of decision making, see some of my experiments in using ChatGPT to create optimization models starting from minute 19 of the video here and ChatGPT Does Decision Intelligence for Net Zero).

Would love to hear your feedback!

Hi everyone, 

Sharing our work at Microsoft on using Large Language Models (such as GPT-4) for supply chain optimization. Our approach is quite general and can be applied to many decision processes.

[2307.03875] Large Language Models for Supply Chain Optimization (arxiv.org)

Friends,

The Vice President and CEO of Innovation at Microsoft, Jason Wild, predicted that every job will be transformed by an existence of an AI co-pilot, driven by large language models (LLMs) such as ChatGPT (see Microsoft: Every job will have an artificial intelligence copilot).  Microsoft is already driving such a transformation by infusing ChatGPT technologies into office - see Microsoft co-pilot for work). 

When applying OR/analytics to solve real world problems, there are two fundamental roles: The business professional who makes the decision, and the OR/Analytics professional.

This got me thinking about the following questions: Can co-pilots for decision making, created by combining LLMs and OR techniques, and targeting these two roles, also transform the way decisions are made? How can a co-pilot for decision making provide value for the business professionals making such decisions? Can a co-pilot be created, to, for example, guiding analytics professionals in applying OR by, for example, walking them through the INFORMS CAP methodology in the context of the specific application? What other features should such co-pilots provide? 

For a couple of initial examples of how LLMs can be used in the context of decision making, see some of my experiments in using ChatGPT to create optimization models starting from minute 19 of the video here and ChatGPT Does Decision Intelligence for Net Zero).

Would love to hear your feedback!