How can you manage decision model versions on Nextmv? Let us count the ways… An overview of approaches for managing model versions for testing, roll out, roll back, and provisioning by geographic region, client, or development environment in the context of DecisionOps.

How can you manage decision model versions on Nextmv? 🤔 Let us count the ways... 🧐

Tour examples that manage model versions by dev environment, geographic region, client/customer, and shadow mode: www.nextmv.io/blog/how-can...

#orms #decisionOps #decisionscience #datascience

In conversation: Building stakeholder trust in decision intelligence Human review and feedback is part of any good decision workflow. Learn what decision algorithm developers and teams can do to increase trust and build confidence.

How to build trust in OR - Insights from Toyota, Hertz, Stitch Fix, and more: hubs.la/Q045TJPk0

→ “Once users start referring to it as ‘our algorithm'...you’re in business.”

#decisionOps #orms #datascience

DecisionOps and reflections on the road ahead The future of operations research and decision science hinges on DecisionOps infrastructure, systems of record, and an integrated ecosystem.

As you think about the year ahead, do you want to spend time building (and maintaining) tools to build models? Or do you want to spend time building (and improving) models that deliver value to your business? hubs.la/Q044Qfxr0

#decisionOps #orms #decisionscience #logistics #supplychain

Getting optimization solutions into the hands of stakeholders faster at Grubhub How Grubhub’s data science team uses Nextmv to accelerate model development, ship models as microservices, and build trust with business users.

Learn how Grubhub’s data science team uses Nextmv to accelerate model development, ship models as microservices, and build trust with business users: hubs.ly/Q043PF4d0

#orms #foodlogistics #delivery #datascience #decisionscience #DecisionOps

Decision Optimization with GPU acceleration: In conversation with the NVIDIA cuOpt team How can GPUs improve decision optimization workflows? In what ways will solving optimization problems change? How does this change the way technology leaders think about their AI strategies? We spoke ...

→ How can GPUs improve optimization workflows?
→ How will solving optimization problems change?
→ How should tech leaders rethink their AI strategies?

Read the discussion about the NVIDIA cuOpt decision engine and what’s next: hubs.la/Q042Jv840

#DecisionOps #DecisionScience #orms #cuOpt #nvidia

New GAMS decision apps on the Nextmv Marketplace Explore customizable GAMS decision models using starter applications on Nextmv, a collaborative DecisionOps platform for streamlined testing, deployment, and management. Run your GAMS decision apps re...

We’re excited to release two new decision apps powered by GAMS on the Nextmv Marketplace! Explore these customizable decision models using starter applications on Nextmv for streamlined testing, deployment, and management. hubs.la/Q03YC_5c0

#GAMS #GAMSPy #orms #routeoptimization #decisionops

Manage and scale your operations research projects with a local DecisionOps framework Introducing a free, open source framework for more efficient decision model development: Track model runs, easily find input and output, manage visual assets, and more with the local Nextmv experience...

Introducing a free, open source DecisionOps framework for more efficient local decision model development:

👟 Track model runs
📂 Easily find input and output
🗺️ Manage visual assets
🪩 and more!

Check it out >> hubs.la/Q03XFNGg0

#decisionops #decisioscience #datascience #orms #opensource

Nextmv Platform adds support for NVIDIA cuOpt GPU-accelerated solver Say 👋 hello to Nextmv support for NVIDIA’s cuOpt optimization engine and NVIDIA GPU-enabled compute on the Nextmv DecisionOps platform.

Say 👋 hello to Nextmv support for NVIDIA’s cuOpt optimization engine and NVIDIA GPU-enabled compute on the Nextmv DecisionOps platform: hubs.la/Q03Vcntx0

#nvidiaAI #nvidiacuOpt #decisionOps #orms #nvidia #decisionintelligence #decisionscience #vehiclerouting #operationsresearch

Join us for DecisionFest Tune into DecisionFest to hear from industry practitioners from organizations such as IKEA, Walmart, Carvana, Toyota, and more!

🪅🎉Join us for DecisionFest, a series of sessions exploring practitioner insights on successfully operationalizing decision models in industry. Learn more: hubs.la/Q03TMbzL0

#decisionOps #decisionscience #operationsresearch #orms #datascience #decisionfest

Tracking decision model runs: an OR-Tools region allocation example in Python Record your assignment model runs, results, input data, and more in Nextmv. Add a few lines of code to your existing model to track every run and easily share data with your teammates.

Check out this tutorial where we use OR-Tools with Nextmv to record allocation model runs, results, input data, and more: hubs.la/Q03DRHhC0

#decisionscience #datascience #orms #decisionops #decisionintelligence #ortools

4 uses for optimization in software Optimization is often highlighted in supply chain contexts – routing, scheduling, inventory, and other tangible, visible problems. This post explores a few use cases in computing and software.

Optimization is often highlighted in routing, scheduling, inventory, and other tangible, visible contexts. In this post, @ryanjoneil.bsky.social explores use cases in computing and software: hubs.la/Q03xJjF40

#orms #decisionscience #decisionOps #sql #informs #optimization #operationsresearch

How to record decision model results, visuals, and I/O with tracked runs: A facility location example Decision model development and collaboration is easier and faster when there’s a shared system of record to reference and interact with for I/O, results, and charts. Learn how to create one in Nextmv.

Decision model development and collaboration is easier when there’s a shared system of record to reference and interact with for I/O, results, and charts. Learn how to create one in Nextmv using tracked runs: hubs.la/Q03xtJdw0

#orms #decisionOps #decisionintelligence #operationsresearch

Nextmv FICO® Xpress Integration: Accelerating optimization teams with modern DecisionOps We’ve partnered with FICO® Xpress Solver to provide a modern DecisionOps platform experience to FICO Xpress users, allowing them to create end-to-end decision pipelines for model deployment, testing, ...

👋 Say hello to the Nextmv FICO Xpress Integration! See how DecisionOps accelerates optimization teams with decision model development, deployment, testing, monitoring, and collaboration. Read on for more details: hubs.la/Q03wh09Z0

#orms #decisionOps #decisionintelligence #operationsresearch

In conversation about DecisionOps with Fred Gardi, founder and CEO of Hexaly This interview explores perspectives on growth and adoption of optimization across practitioners, challenges and opportunities in the optimization space, thinking about optimization in broader AI stra...

Revisit a conversation with Fred Gardi and @ryanjoneil.bsky.social covering perspectives on growth/adoption of decision science, advocating for optimization within broader AI strategies, and the Nextmv Hexaly integration. 👇👇👇

#decisionscience #DecisionOps #hexaly #datascience #heuristics #orms

Build decision workflows to automate multiple steps in an optimization pipeline Looking for an MLflow experience for optimization? Create and manage end-to-end decision workflows in Nextmv with steps such as data prep, regression, optimization, and visualization. Press play to ki...

Looking for an MLflow experience for optimization? Create end-to-end decision workflows in Nextmv with steps such as data prep, regression, optimization, and visualization. Learn more >> www.nextmv.io/blog/build-d...

#decisionops #mlops #logistics #supplychain #decisionscience #datascience #orms

Build and run an ML + OR decision workflow in Nextmv: www.nextmv.io/blog/how-to-...

Prepare data (Pandas) → run regressor (Statsmodels) → run optimizer (Gurobi) → visualize output (Plotly) and then run a scenario test!

#orms #DecisionOps #DecisionFlow #python #datascience #MLFlow #MLOps #informs

MatchBack Systems: Eliminating historical drayage inefficiencies for imports and exports Optimization plays a key role in MatchBack Systems successfully minimizing costs and improving equipment utilization for its customers — but it's the speed to deployment and model iteration that takes...

Optimization is key to MatchBack Systems minimizing costs and improving equipment utilization for its customers — but it's the speed to deployment and model iteration that takes their solution to the next level: hubs.la/Q03dtMKg0

#orms #supplychain #datascience #decisionscience #decisionOps

A 2024 lookback and 2025 preview of DecisionOps workflows 2024 was the year of the Python modeling experience, optimization integrations, and helping modelers find solutions even faster with parallel runs and interactive visualizations. In 2025, we look forw...

👟 We’re hitting the ground running in 2025! We look back at how the Nextmv DecisionOps platform evolved over the last year and what we plan to release this year. www.nextmv.io/blog/a-2024-...

#decisionops #machinelearning #datascience #decisionscience #orms #python