Loved reconnecting with @jordanrcrook and meeting @etherington on the @TechCrunch Found podcast. We explored our developer platform for automating and optimizing decisions https://t.co/5T1LIm2KuV
🎉 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! >> https://t.co/ttmSAo5eS0
🎉 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 >> https://t.co/fwjyi19ZYi
Why use our Google OR-Tools integration? "The short answer: it will accelerate your workflow."
Hear more from @ryanjoneil on how model management and experimentation with Nextmv help teams with DecisionOps.
#ortools#python#decisionops
https://t.co/FyQWKrCiVA
This is extremely cool. Now #ORTools users can build optimization models in Python, then manage and experiment with them in @getnextmv's infrastructure. #orms
https://t.co/DhJb5Moa6A
How do you avoid breaking production when rolling out a new decision model? Shadow & acceptance testing can help. @dirk_sch and @tiffbogich present this Thursday: https://t.co/7A0WHMFPRd
Register to join live or watch later!
#orms#informs#mlops#decisionops#datascience
Test early, test often. See three experiments on three decision models: https://t.co/JfTae1BRrW
→ Upgrade the entire fleet to be cold chain-ready?
→ Add an inventory cap to reduce food waste?
→ Increase shift break time?
#decisionOps#CICD#orms#foodlogistics#foodtech
“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 🙌
“One of the hardest things about being on the receiving end of these test results is having to reinterpret and understand different formats… [acceptance testing with Nextmv] produces results for any model change that are consistent and easily readable.”
https://t.co/GsSpsSKXVT
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: https://t.co/4rYMV5U91H
#orms#foodtech#datascience#decisionops
Ready to start optimizing routes? Explore our out-of-the-box constraints using the Nextmv Routing app. Need to customize? We support that, too! Use the same model code to define your own constraints and objectives. https://t.co/n9vyf5CROm #supplychain#routeoptimization
Today was exciting. Our team @getnextmv released an update to our routing app that makes it up to 10x faster. Then they immediately followed up with a great new user experience in our console.
At the best startups, if you blink you might miss something important.
You update a constraint – shorter shift times – in your decision model. How does this change impact your business metrics? How does it compare to your prod model? Batch experiments let you explore → https://t.co/iqVmIJWOKY #datascience#modelops#decisionops#orms#foodtech
If @BLS_gov data is right, #orms job growth outpaces comp sci.
tl;dr: Operations Research may be the new Data Science. If you don't have a team, you'll have one soon.
Panic-inducing question: Are you ready to integrate an OR team into your tech org?
https://t.co/zHAbZpgUAx
@thserra@cmoon6 and @tiffbogich were also representing the shirts today @thserra while talking through an o10n model testing speedrun!
may your solutions be ever improving 🖖