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 […]
In September Irv was interviewed for the “Global Visionaries” podcast by Carlos Ponce. Listen to the full episode here: https://www.advancio.com/advancio-talks-season-2-episode10-with-irv-lustig/. Following are lightly edited excerpts. Carlos: Tell us about Princeton Consultants. What is your value proposition? What problems do you solve? Irv: I joined Princeton to help grow the optimization part of the business. We […]
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. […]
At the INFORMS Analytics+ Conference in Indianapolis, Irv presented a workshop along with Siddhesh Pore of Databricks, https://www.databricks.com/. They discussed data-first principles and best practices, data prep and engineering, and optimization integrations on the Databricks platform. Following is an edited excerpt from the Q&A at the end of the program. Audience Member: I enjoyed the […]
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 […]
In a Gurobi webinar on Data-First Optimization Development, Irv discussed the transformative benefits of pandas and best practices using the gurobipy-pandas library, and walked through an example. Following is a lightly edited excerpt from Irv’s presentation and the Q&A with practitioners from around the world.  In emphasizing Data-First optimization development, I have drawn on […]
Scheduling has for decades been a prime process to optimize. Recently at Princeton Consultants, we are seeing an increasing number of highly complex scheduling problems across industries, perhaps because costs are rising and critical resources are becoming more limited. Executives are looking to maximize efficient utilization of their workforce, equipment, vehicles, and other high-value assets. […]
Following are edited excerpts from Irv’s April 11 webinar with Taipy, https://taipy.io/, a tool that eases web development with drag-and-drop Python integration. We created a solution that optimizes a complex scheduling process for a client organization. The tasks range in duration from several days to more than a year. There are teams of varying sizes, […]
