When does it make sense to use map and traffic data for route planning? And when is Haversine (“as the crow flies” distance) sufficient? @muelld looks at questions to consider for using different approaches: https://t.co/IKoq1pqqRP
#routeoptimization#logistics#orms
We just shipped a new shift scheduling solver based on mixed integer programming. It’s a marketplace app, which means all behind an http api. No custom code needed. Just json in, optimal schedule out 🤓 #orms
“Even a very simple rudimentary forecast with a good optimizer can often outperform a really good forecast with a terrible optimizer.”
Great #GoogleCloudNext talk from URBN and Nuuly leaders on inventory logistics and demand forecasting decision algorithms. Love to see it 🙌
Shadow testing is now available on the nextmv platform. It is a very useful addition to our other experiment types.
I like that the "shadow" runs alongside on production data and not just some selected instance set.
Congrats and thanks @dirk_sch and @getnextmv
We just shipped a new feature I have been working on for the last few weeks: shadow testing of optimization models in the @getnextmv cloud.
🎥: https://t.co/RHlWwncxFw
✍️: https://t.co/zbHXRUWqSJ
You can now attach a shadow test to a production instance. Every run input of your optimization model is then also sent to a candidate instance in the background. At a later point in time you can look at the results and compare performance on very recent production data. That helps you de-risk the deployment of a new model into production.
Under the hood all written in Go. I am still very much enjoying the language for backend applications. #orms #golang
I've always wanted to see the struct size in Go even if it was optimal.
It's amazing for a language ecosystem that you can go to the `gopls` code (a core language tool), add a little hack, do `go install .` and it just works. Go is a joy to work with. #golang
Speedrunning isn’t just for Mario or Zelda: https://t.co/pkjiNMx0Ld
"There are a lot of solvers and decision technologies out there that feel like they stand in their own way...What we're focusing on is how to make using optimization tech frictionless."
#orms#datascience
🧪 It's time to experiment!
We published gonew, an experimental tool for instantiating new projects in Go from predefined templates.
Learn more and try it out today 👇 https://t.co/4mgruGH0Ln
@ROberdieck@GamsSoftware Nice post! We’re building out an experimentation platform for decision algorithms, including benchmarking. If you are interested, I’d love to hear your take on how we’re thinking about it and building it out. Would you be up for seeing what we’re working on?
@YardenLaif@TMobile Weird. Not a solution but merely a band-aid in case you have a Gmail account: [email protected] works. You have a virtually unlimited number of email addresses using + and some extension. Not great but maybe a little better.
Excellent write-up of @gopherconeu by Benjamin Bryant. #golang
One of the funniest Benjamins I know, and certainly the funniest Bryant.
https://t.co/VWPTLFunZf
While @dirk_sch and I had a lot of fun at #gopherconEU, @cmoon6 showed what acceptance testing will look like on our platform - to be released soon. Very cool stuff!
Check your project's execution path for vulnerabilities now by installing govulncheck (go install https://t.co/EScp8YZxFq) and run govulncheck ./...
Nice presentation by @JQiu25#gopherconEU