Haley Eshagh retweeted
Looking for an open source, CLI plotting tool that works with arbitrary JSON formats? Look no further >> hubs.la/Q02kn4Qj0
If you’re using OR-Tools, VROOM, Nextroute, or any optimization tool that can produce a JSON output, you can quickly plot your routes with Nextplot.
Congrats to the whole team 👏 ! Check @getnextmv out on Product Hunt and may your solutions be ever improving 🖖
🎉 We’re live on Product Hunt!
We’re incredibly proud of the entire team for the work they’ve done to create and launch the Nextmv platform.
The OR community is near and dear to us.
Head over to the launch and let us know what you think! >> producthunt.com/posts/nextmv…
Haley Eshagh retweeted
🎉 We’re thrilled to release v1.0 of the Nextmv platform!
This release brings all the tooling together – for development, testing, deployment, and operation – to accelerate decision model development.
Read more >> hubs.ly/Q0296xjp0
A fun interview with the @kale__co team about creating a greener future by starting with a rethink on cargo bike delivery logistics.
How do you support sustainable and resilient city design in the face of climate change? One way: optimize urban delivery #logistics by starting with dispatch apps for eco-friendly operators. The @kale__co co-founders explain: hubs.ly/Q024j-Z60
#orms #cargobikes #ML #AI
Haley Eshagh retweeted
🎉Our integration with Google OR-Tools is here – and we can’t wait for you to try it! Bring your OR-Tools model and launch it in minutes.
✅Deploy remotely
✅Run experiments
✅Manage model versions
✅Collaborate
Take it for a spin 😀
hubs.ly/Q022HTgC0
#decisionops
Haley Eshagh retweeted
New release! Shadow test decision models with Nextmv. Check out all the goodness in the release blog: hubs.ly/Q01_Z76P0
Let us know what you think!
#orms #datascience #MLops #DecisionOps #foodlogistcs #foodtech
Haley Eshagh retweeted
Shadow testing is a useful way to de-risk decision algorithm rollout and build confidence in deploying changes to production systems. We take a look at the what, why, when, and how: hubs.ly/Q01-jqR40
#orms #foodtech #datascience #decisionops
Two extraordinary humans, Go devs, and decision optimization gurus to run into and chat with for sure
At @gopherconeu with @larsbeck and @getnextmv. Looking forward to all the great talks! If you are interested in route optimization technology written in Go, talk to us 🤓 #gopherconEU #golang
Haley Eshagh retweeted
"Troubleshooting without testing is complicated. These are plans that drive real-world activities with real people involved...It's hard to have confidence in your outcomes if you don't have testing in place." --> youtu.be/ffS4MTKxZwM
#datascience #foodtech #foodlogistics
Here's to avoiding melted ice cream with acceptance testing...Nice post from @tiffbogich that's giving more shape to the universe of decision model testing. I'm looking forward to the follow-on posts around scenario testing, benchmarking, shadow testing, etc.
Should you deploy that new decision model to your production systems? Acceptance testing can help you decide. We look at the what, why, when, and how: hubs.ly/Q01Q0VM30
#orms #modelops #foodlogistics #datascience #decisionops
And just like that, a HiGHS/MIP decision model endpoint created in under 3 minutes...
Are you a fan of @HiGHSOpt like we are? See how to take a locally developed MIP model and deploy it to the cloud in minutes. Watch now >> hubs.ly/Q01NdpQx0
#modelops #orms #optimization
Running experiments to compare two decision models in the Nextmv console is a super slick experience. It's neat to watch this framework continue to evolve and grow.
Switchback testing, shadow testing, scenario testing, acceptance testing — the universe of optimization model testing can feel unwieldy. @cmoon6 details a framework for model testing and how to approach it: hubs.ly/Q01MJ6F10
#orms #modelops #INFORMS #datascience
Props to @cmoon6 @tiffbogich @ryanjoneil (and Joe!) for some great presentations and demos. Very cool to see the new model testing/experimentation features at work on the farm share delivery problem. May your solutions be ever improving 🖖.
Wrapped @ryanjoneil 's #INFORMS talk on deploying, testing, and collaborating on decision diagram and #MIP models. Want an introduction to custom decision modeling with Nextmv? Join us this Wednesday: hubs.ly/Q01Kn48P0
#2023Analytics #modelops #orms #decisionops
This will be a great (short) talk for #golang devs interested/involved route optimization and #fooddelivery
Late-night pizza, craft kombucha, farm fresh blueberries, frozen popsicles: see how to automate and optimize their delivery with a custom decision model that we’ll build, test, and deploy in under 30 minutes: hubs.ly/Q01H225B0
#foodlogistics #decisionops #modelops #orms
Haley Eshagh retweeted
Build a custom package delivery model (step-by-step) with Joe, our Solutions Engineer! In under 30 minutes, he’ll show you how to create custom constraints, discuss optimization goals, and answer your questions live. Join us March 1: hubs.ly/Q01D0s6f0 #routeoptimization
This 👇👇👇 is exciting 🎉🎉🎉
😮👌🤗 🙌🎉 That feeling when your custom decision #optimization model is running remotely as a service. See how to spin up a unique decision endpoint in minutes. hubs.ly/Q01BHb0q0
#orms #devops #routeoptimization
If only there were Koroks...
It’s like a Mario or Zelda speedrun, but for a decision optimization model: youtu.be/9hzvt87sEqU
See @ryanjoneil start from nothing, initialize a routing model, test it locally, and put it into a prod environment in minutes.
#orms #decisionoptimization #routeoptimization
Haley Eshagh retweeted
Bonus points if you recognize the matrix.
On November 16, @ryanjoneil will show how a dev-focused workflow can accelerate building decision optimization services.
Learn more in this 30-minute techtalk: hubs.ly/Q01rfLTK0
#orms #decisionoptimization #datascience
"And now we need to solve the model...yes, that's right." A neat, lightweight watch.
I recorded a fun video for my coworkers at @getnextmv the other day experimenting with Github Copilot🤖 to solve a knapsack problem using integer programming. It was pretty mind blowing🤯. Anyone else using Copilot for operations research work? youtu.be/bqdJhJ12PT4 #orms
A @ryanjoneil presentation is always worth carving out 30 minutes for. He's great at balancing technical deep dive with approachable applications and storytelling.
A dev-focused workflow can accelerate going from decision model definition to production environment. @ryanjoneil explains in an upcoming techtalk, demo, and Q&A — join us: hubs.ly/Q01rfLTK0
#orms #decisionoptimization #datascience










