INFORMS Open Forum

  • 1.  Member OPPORTUNITY of the Week: AI and Your Work

    Posted 05-15-2024 13:54

    This week, instead of offering a tip, I want to present an opportunity to you. As you may know, we frequently feature member-written articles in our magazine, OR/MS Today. Currently, we're working on a piece intended to incorporate insights from multiple members on how artificial intelligence is impacting their work. We'd like to include a wide range of perspectives from members of different ages, career stages (including students), academic departments, and industries.

    If you're interested in sharing your thoughts on this topic, we invite you to reply to this thread with a 100-200 word summary detailing how AI has changed or is currently changing your work. By posting here, you're granting permission for OR/MS Today editor Kara Tucker to publish your words, along with your name. Please post your responses by May 31.

    Alternatively, if you prefer talking to writing, you can share a video of no more than 60 seconds on the same topic.

    We eagerly await your perspectives!



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    Tracy Cahall
    Member Engagement Manager
    INFORMS
    Catonsville MD
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  • 2.  RE: Member OPPORTUNITY of the Week: AI and Your Work

    Posted 05-16-2024 12:14

    Hi Tracy, thanks for the invitation. Let me share my thoughts from Latin America, from the field of Educational Management. 

    "In my role in Educational Management, I've seen firsthand how AI can be a game-changer, especially through Learning Analytics modeling. My journey with AI started about 15 years ago during my undergraduate studies (I'm under 40 yet), and it's been incredible to see how the field has evolved, largely thanks to the leaps in computational power. By using AI, I've been able to dig deep into data to uncover insights that make our decision-making smarter and our work more efficient. In my point of view, this is super important in a country like Peru, where we're striving to make education at all levels (K-12 and HE) better and more accessible for everyone.

    One specific way AI has helped us is by predicting how students will perform. This lets us tailor the learning experience to fit their needs better, which can really make a difference in their learning process. Though it's not all that easy-working with human data brings big ethical concerns, like making sure our AI tools are fair and don't leave anyone out. Even though I haven't taken the Certified Analytics Professional (CAP) exam yet, I've been using its framework a lot. It's been incredibly useful in guiding me through the challenges we face in the Management of Education, helping me think through problems and find solutions that are not just smart but also right.

    I believe that as AI keeps evolving, skills like communication, systems thinking, and critical thinking will become even more essential. We'll need these skills to tackle the complex issues AI brings into our work."

    Thanks again!

    Nicolas



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    Nicolas Nunez
    Researcher
    Centrum PUCP
    Lima
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  • 3.  RE: Member OPPORTUNITY of the Week: AI and Your Work

    Posted 05-17-2024 02:40

    Hi Tracy,

    Great topic! Here are my thoughts:

    AI has the power to bring transformative changes to higher education. It can potentially help analyze vast amounts of data very quickly to provide real-time data-driven insights to educators regarding student performance and learning trends. As a result, low-performing students can be identified in order to implement timely intervention strategies to improve their performance as well as instructors can be given the opportunity to refine their teaching strategies to further enhance student outcomes in a course. This technique has proved to be immensely successful in my courses (undergraduate level) on business analytics at a minority-serving institution, often regarded as "bottleneck" courses. The data dashboards made available to faculty members at our institution through IT services and have proved to be a very useful tool contributing to student performance and success.

    Furthermore, generative AI has become a topic of much discussion in academia due to its impact on student assessments. Just as this technology can improve assessment processes by reducing bias and improving the quality of student work, in also raises complex ethical issues. Being deeply involved in assessment activities at our university, I see more and more faculty members struggling to find a balance between using AI tools to improve student outcomes and detecting unethical and unauthorized usage. This is why faculty and higher education administrators are devoting a significant amount of effort in developing institutional policies related to "acceptable" use of AI that can be incorporated in courses as deemed contextually appropriate.

    AI and generative AI are here to stay. So, there is no way but to embrace it based on a good understanding of the associated pros and cons involved for both faculty and students. Professional development trainings for faculty can also be helpful in this regard.



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    Sinjini Mitra
    Professor
    California State University-Fullerton
    Fullerton CA
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  • 4.  RE: Member OPPORTUNITY of the Week: AI and Your Work

    Posted 05-17-2024 12:10

    Hi Tracy, Thanks for the opportunity. 

    Here is my note on this: 

    Artificial intelligence (AI) has significantly influenced my research in the domain of community resilience. My work focuses on optimizing community infrastructure and response strategies to enhance safety and resilience against natural hazards. AI has enabled the development of sophisticated models and algorithms that can analyze vast amounts of data, predict disaster impacts, and optimize resource allocation for emergency response. Furthermore, AI has notably improved research productivity by assisting with coding and debugging, allowing for more efficient development and refinement of complex models. This has accelerated the pace of research and increased the reliability of the results.

    For the first time, I am incorporating presentations on AI in the area of disaster resilience into my session at the INFORMS Annual Meeting. This highlights the growing recognition of AI's potential in this critical field. I believe integrating AI in disaster resilience is a groundbreaking area of research. AI-driven models can simulate various disaster scenarios, providing critical insights that inform the development of robust, adaptive strategies for community resilience. Additionally, AI tools have facilitated more effective stakeholder engagement by enabling the visualization of complex data and scenarios, fostering more informed and collaborative decision-making. AI has transformed the landscape of my research, providing powerful tools to address complex challenges in building disaster-resilient communities.



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    Himadri Sen Gupta
    Ph.D. Candidate | Graduate Research Assistant
    NetSys Research Lab, School of Industrial and Systems Engineering
    President, INFORMS University of Oklahoma Student Chapter
    University of Oklahoma, Norman, OK 73019, USA
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  • 5.  RE: Member OPPORTUNITY of the Week: AI and Your Work

    Posted 05-20-2024 17:12

    Hello Tracy, I appreciate the invitation. I want to extend my gratitude to everyone who has contributed to this event. Allow me to share my industry experiences with you all.

    AI has significantly transformed my role in capacity planning for Amazon's peak events like Prime Day, Black Friday, and Cyber Monday. This job involves analyzing traffic forecasts and determining the necessary capacity to manage peak loads. To enhance decision-making speed, I've focused on multiple automation efforts, developing machine learning algorithms and creating self-service software for cross-functional teams.

    Generative AI has been a game-changer in my productivity. For instance, I recently developed a self-service tool that reduced our capacity scaling time from days to hours. It aids in documentation, providing grammatical checks and structured writing, enabling me to deliver projects at least five times faster than before. Additionally, I am able to ship software solutions at least five times faster, which has been crucial during peak event preparations.

    AI also revolutionized my research process. Previously, I spent hours searching for and reading research papers. Now, with generative AI, I can quickly summarize existing research, making me five times more productive. This efficiency allowed me to implement a cutting-edge API costing method that improved our cost monitoring.

    Moreover, AI serves as a reliable assistant, offering guidance and explanations when I encounter challenges. It's like having a knowledgeable colleague always ready to help, boosting my confidence in tackling complex tasks. This personalized support has not only enhanced my efficiency but also my innovation capacity, making AI an indispensable tool in my daily operations.

    Thanks!



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    Mahindra Venkat Lukka
    Amazon
    San Jose CA
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  • 6.  RE: Member OPPORTUNITY of the Week: AI and Your Work

    Posted 05-21-2024 07:05
    Edited by Jill Capello 05-21-2024 08:20

    Hi Tracy,

    Until January 2020, I didn't say I was working in AI. Then an article, "Competing in the Age of AI" by Iansiti and Lakhani, was published in the Harvard Business Review. It defined AI as "a computer system able to perform tasks traditionally handled by people". With this definition, I found that I had been working in AI, and that I was running an "AI Factory".

    At present, the FrogData.com Decision Analytics SaaS that I work on provides decision advice and operations analyses to US car dealers to make a range of business decisions spanning sales, inventory, service, accounting, and HR. For example: which cars to buy, what price to set for each car each day, etc.

    This system converts decision intelligence from craft to mass production. It makes decision intelligence accessible and affordable to an entire market segment. Affordability comes because of repeatability and automation. The costs of making enterprise data warehouses and analytics algorithms are amortized over hundreds of customers. System operations and support costs are minimized by job automation that lowers costs.

    My work consists of running and improving this AI factory, while adding and supporting a growing number of decision-makers.



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    Rahul Saxena
    FrogData.com
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  • 7.  RE: Member OPPORTUNITY of the Week: AI and Your Work

    Posted 05-22-2024 09:04

    Rahul's response to the question raises another interesting question, which is "What do we (in INFORMS) mean when we use the phrase 'artificial intelligence'?"

    Tracy was looking for input "from multiple members on how artificial intelligence is impacting their work."

    Rahul used a definition from Iansiti and Lakhani that defined AI as "a computer system able to perform tasks traditionally handled by people".

    With the latter definition, many of us could say that we have been working on various methods to be embedded in such computer systems, and thus we, as INFORMS members, have been doing AI way before it has become a mainstream topic.  And members of our community are using methods such as machine learning, reinforcement learning, etc., to solve problems, and those methods are typically considered in the domain of "artificial intelligence" as defined by the computer science community.

    I am hazarding a guess that what Tracy is really looking for is how "generative artificial intelligence" is impacting our work.  Some interesting work in this area has been led by Segev Wasserkrug of IBM that was the topic of a talk at the recent INFORMS Analytics Conference.  See https://meetings.informs.org/wordpress/analytics2024/speakers/segev-wasserkrug/ for a description.  I believe he and other members of the INFORMS Practice Section will be publishing an article in OR/MS Today about their work.



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    -Irv Lustig
    Optimization Principal
    Princeton Consultants
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  • 8.  RE: Member OPPORTUNITY of the Week: AI and Your Work

    Posted 05-22-2024 12:42
    Edited by Rahul Saxena 05-22-2024 12:45

    Thanks, Irv, for posing the question of "what does INFORMS mean by AI".

    AI is very broadly defined. When asked for a 1-sentence definition, ChatGPT says: AI is the simulation of human intelligence processes by machines, especially computer systems.

    The decision intelligence (DI) subset of AI is more germane to INFORMS. Gartner says: DI advances decision making by explicitly understanding and engineering how decisions are made and how outcomes are evaluated, managed and improved via feedback. Ref https://www.gartner.com/en/information-technology/glossary/decision-intelligence.

    The INFORMS vision aligns with DI: Better decision-making for a just, prosperous and sustainable world. Interestingly, the "AI Factory" of Iansiti and Lakhani works as the capability for DI. In this article from 2021 I explored this topic a bit further: https://rahul-saxena.medium.com/narrow-ai-for-decision-intelligence-ada9e0d01001.

    Since LLMs have become salient, I think all of us would have tried them out and started to use them. In my "craft" work, LLMs provide content that I can use after tweaking, especially summaries, draft papers, and illustrations. The "mass-produced" decision support analyses from our SaaS are most interesting for the outliers and surprises we unearth, for which we find the LLMs lacking.

    We're exploring how to use LLMs to provide a conversational interface as a parallel to the web-browser interface. Looking forward to reading Segev Wasserkrug's article.



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    Rahul Saxena
    FrogData.com
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  • 9.  RE: Member OPPORTUNITY of the Week: AI and Your Work

    Posted 05-22-2024 12:53

    Just for fun, I asked ChatGPT: What do INFORMS members mean when they use the phrase 'artificial intelligence'?

    It said (emphasis added): When INFORMS members use the phrase "artificial intelligence," they typically refer to the use of computational systems and algorithms to perform tasks that would normally require human intelligence. This includes processes like learning from data (machine learning), understanding and processing natural language (natural language processing), recognizing patterns (computer vision), and making decisions or predictions. AI in this context is often associated with optimizing operations, improving decision-making, and solving complex problems across various industries and disciplines.



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    Rahul Saxena
    FrogData.com
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