Following are lightly edited excerpts from Rob’s recent webinar (watch the recording here). An optimization model can perform beautifully in development but struggle or fail when it reaches production. The reason is straightforward: production changes the rules. A prototype often operates against a controlled dataset and can be given considerable time to find an answer. […]
At the INFORMS Analytics+ Conference in April, I moderated a panel on GPUs, the Primal-Dual Hybrid Gradient (PDHG) and “the ongoing evolution of Mixed Integer Linear Programming (MILP) and an investigation into the potential value of each to solve larger and more complex models.” I was asked because of my research at Stanford University and […]
Following are lightly edited questions and answers from Patricia’s presentation on Orchestrating Optimization with Precision Agents at the INFORMS Analytics+ conference and in a subsequent webinar (watch the recording here and see Patricia’s previous blog post for reference.) Question: What is the difference between an agent and a tool? Patricia: The agent is the decision […]
This post is based on Patricia’s presentation at the INFORMS Analytics+ Conference and in a subsequent webinar (watch the recording here). For decades, enterprise optimization systems have been built around a familiar assumption: if you can centralize enough data, encode enough constraints, and build a sufficiently sophisticated model, you can produce better operational decisions. That […]
In October I conducted a webinar, “Optimization Solution Development & Deployment, a Framework for Success” (watch it here). Following are lightly edited excerpts from the Q&A with the attendees. Some of the questions relate to the INFORMS Analytics Framework, which is described here. Question: What value does Princeton find in building optimization and analytics solutions […]
At the Gurobi Decision Intelligence Summit in September in Las Vegas, Irv participated in a panel discussion on Generative AI (GenAI) for Optimization, moderated by Gurobi’s Dan Steffy. Following are lightly edited excerpts. Irv Lustig: Regarding GenAI, I would say I’m an observer, using my experience to evaluate different things that are going on in […]
Irv was the first guest on The Decision Intelligence Lab, a podcast hosted by Professor Michael Watson (Northwestern University) and Professor Vijay Mehrotra (University of San Francisco) to “deliver real-world insights for data professionals, business leaders, and anyone seeking to leverage data for smarter decision-making.” Listen to the episode here. Following are lightly edited excerpts. […]
When discussing optimization solution development, I often refer to “the journey” from opportunity identification and business problem framing to deployment and solution lifecycle management, and the important steps in between. As a consulting firm, we are engaged by organizations whose in-house teams can be at varying stages of the journey with a given solution. This […]
Steve recently gave a guest lecture to Professor Shruti Sharma’s introductory class on optimization for graduate students at the NYU Tandon School of Engineering, in the Technology Management and Innovation Department. Following are lightly edited excerpts. Scalable “Scalable” is something that everyone your age has heard a bunch of times. For my generation and older, it […]
What optimization solvers, programming and modeling languages do professors, students and industry practitioners use? Do they align? At the INFORMS Annual Meeting in October in Phoenix, Princeton Consultants asked attendees to see what has changed since 2017, the last time we conducted the survey. The findings are summarized as follows: The usage of Gurobi increased. The […]
