Custom Python models, combining OR & ML, a Q&A with HiGHS developers, and more
Welcome to our first LinkedIn newsletter! We’re excited to share new features, community highlights, and upcoming events. Learn more about us here: https://www.nextmv.io/?
What’s new?
Bring your custom Python model to Nextmv
Accelerate development of your Python decision models – from completely custom models to those built using popular modeling tools – with features for testing, deploying, managing, and collaborating. Read more >>
Simulate multiple “what if” scenarios
What if order volume increases 4x? What if I changed shift length? What’s the best model formulation? Efficiently play out different scenarios under realistic conditions before commiting to a plan using Nextmv’s scenario testing capabilities. Read more >>
Create ensemble runs to find the best solution
Generate multiple runs in parallel to take into account randomness, test varying model configurations, or compare different models for a given input. Read more >>
Thought piece
What is DecisionOps and why does it matter??
The ops-ification of disciplines such as software development, machine learning, and security aims to increase efficiency and reduce risk. For decision science and operations research — a discipline built on efficiency — it’s no different. Read more >>
Customer spotlight
Optimizing routes for student pickup and dropoff with HopSkipDrive and Nextmv
To solve the complex transportation challenges of school districts nationwide, HopSkipDrive leverages Nextmv’s building blocks to develop its proprietary and customizable student routing solution. Read more >>
领英推荐
Community highlights
Operationalizing HiGHS-based MIP models and Q&A with project developers?
Many operations research and decision science practitioners start their optimization modeling journey with open source projects such as HiGHS. What is HiGHS? What role does it play in the MIP ecosystem? And how can we accelerate the real-world impact of HiGHS-based decision models? In this session, we explore these questions alongside the HiGHS project developers, Julian Hall and Ivet Galabova. Watch now >>
Upcoming events
Gurobi Summit Americas 2024: The Decision Intelligence Summit | Las Vegas, NV | September 19 & 20, 2024
2024 INFORMS Annual Meeting | Seattle, WA | October 20 -23, 2024
Nextmv Workshop | Virtual | October, 2024
On-demand viewing
Combining machine learning (ML) and operations research (OR) through horizontal computing
In this talk, we will explore what has made blending ML and OR outputs challenging, the roles of deterministic and stochastic optimization in relation to ML, and how scenario testing techniques via horizontal computing provide an expedient and more accessible path for combining these worlds. Watch now >>
Optimization modeling with AMPL, Streamlit, and Nextmv: A stochastic facility location example
In this techtalk, join Filipe Brand?o, AMPL Head of Development, and Nicole Misek, Nextmv VP of Engineering, as they discuss the value of integrating these tools together, share insights into the process, and walk through a live demo. Watch now >>
Until next time!
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Operations Research Scientist ? PhD ? Data Science
6 个月Amazing to see a lots of interesting development in OR space. What’s the hype with HiGHS (lots of people are talking about it)? Maybe someday I’d try it.