Nextmv

Working with Pyomo models? Follow this guide for streamlined development, simple deployment, built-in testing, and collaboration on the Nextmv platform.  #orms #python #pyomo #decisionscience #datascience #decisionintelligence #operationsresearch Get started here ➡️ https://hubs.la/Q03RzyRC0

🎃 Developing, launching, and managing optimization projects isn't spooky with DecisionOps! 👻 We're back from INFORMS and excited to share the latest from the OR community, Nextmv updates, and new job postings. Dive into this month's newsletter below ⬇️ #orms #decisionops #decisionintelligence #datascience #decisionscience #informs #python

What do Ryan O'Neil and Thiago Serra think is worth knowing about translating operations research and decision science learnings into industry practice? Join this session to find out! What advice will they have? What questions will you bring? Hope to see you there! #orms #informs #operationsresearch #datascience #decisionscience #decisionintelligence

Join us on October 16 for a guided introduction to operationalizing a #Pyomo model on the Nextmv platform. Geared toward operations researchers and decision scientists, this presentation will show you how to take your optimization project safely and quickly from research to production with streamlined engineering flows and transparent model management. #orms #decisionscience #datascience #decisionintelligence #decisionops #python

🎃 October has arrived! Explore what's new from Nextmv and the decision science community. This month, we're highlighting new experimentation features, a step-by-step tutorial for operationalizing an AMPL Optimization model using HiGHS and Gurobi Optimization, and the latest events and jobs in the OR space. #orms #decisionscience #datascience #decisionintelligence

What if switching between solvers were as easy as toggling a dropdown menu? Or exploring the impact of demand by dragging a slider? Join us this Thursday for a hands-on DecisionOps workshop featuring AMPL Optimization Inc. At the end of the session, you'll have an optimization model running on scalable infrastructure, configurable model options, and a suite of testing and collaboration tools. Reserve your spot >> https://hubs.la/Q03Kk1JX0 #gurobi #highs #decisionops #decisionintelligence #orms

“You have MLOps for a data science team and DataOps for the data engineering world. We need the equivalent in the decision science space — we need DecisionOps.” Key aspects to this from Carolyn Mooney's conversation with Michael Watson and Vijay Mehrotra: → Always store the input and output of your decisions → Make sure decisions are reproducible → Manage different model versions over time → Perform systematic experiments and tests → Make it easy for end users can access/interact with the model to build trust Check out the full discussion on the Decision Intelligence Lab Podcast: https://lnkd.in/gqvQUbth #decisionintelligence #DecisionOps #orms #datascience #MLOps #operationsresearch

Join us for a hands-on workshop to take your optimization project safely and quickly from research to production. Designed for operations researchers and decision scientists, you'll get a guided introduction to operationalizing an AMPL Optimization Inc. model with HiGHS on the Nextmv platform. #orms #decisionops #decisionscience #decisionintelligence

“Once you start learning how to recognize mathematical optimization use cases, they exist pretty much everywhere: in finance, logistics, supply chain, manufacturing, energy, and even government — the possibilities are endless.”  – Yash Puranik Read the full interview >> https://hubs.la/Q03FwLgD0 #decisionscience #datascience #orms #mathematicaloptimization #artificialintelligence #machinelearning #decisionintelligence