
Co-Founder & CEO @getnextmv and volleyball coach @JerseyJuniors . Still working on how to combine them 😉👩🏼💻 🏐 #decisionautomation #sports
Joined August 2009
- Tweets1.8K
- Following337
- Followers460
- Likes2.5K
Carolyn Mooney retweeted
New release! 🎉🎉🎉 The Nextmv Gurobi integration accelerates how you run, test, and deploy decision models running @gurobi with Nexmv’s DecisionOps platform: hubs.la/Q02nyvvK0
#orms #decisionops #decisionscience #gurobi #optimization #datascience
Carolyn Mooney retweeted
“The application of OR-Tools and LAD regression for forecasting feels new, but the use of LP for shift scheduling is timeless.”
@ryanjoneil demos #ORTools, @HighsOpt, Nextroute: nextmv.io/videos/forecast-sc…
#datascience #Python #logistics #lastmile #linearprogramming #orms #informs
Carolyn Mooney 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
Carolyn Mooney retweeted
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
youtu.be/GTbuiS94Hdc
Carolyn Mooney retweeted
This is extremely cool. Now #ORTools users can build optimization models in Python, then manage and experiment with them in @getnextmv's infrastructure. #orms
nextmv.io/blog/the-nextmv-or…
Carolyn Mooney retweeted
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: hubs.ly/Q020ztpz0
Register to join live or watch later!
#orms #informs #mlops #decisionops #datascience
Carolyn Mooney retweeted
Test early, test often. See three experiments on three decision models: hubs.ly/Q021tDwX0
→ 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
Carolyn Mooney 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
Carolyn Mooney retweeted
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. hubs.ly/Q01--q7F0 #supplychain #routeoptimization
Carolyn Mooney retweeted
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.
Carolyn Mooney retweeted
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 → hubs.ly/Q01RMm5P0 #datascience #modelops #decisionops #orms #foodtech
Carolyn Mooney retweeted
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?
fortune.com/2023/05/28/highe…
Carolyn Mooney retweeted
Replying to @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 🖖
Carolyn Mooney retweeted
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
Carolyn Mooney retweeted
→ What’s the best promotion mix to offer customers?
→ Does an electric car fleet affect your delivery costs?
→ Should staff pack one order at a time or multiple?
We’ll discuss: hubs.ly/Q01NBWry0
#foodlogistics #grocerydelivery #foodtech #orderfulfillment #qcommerce
Carolyn Mooney retweeted
Take a tour of the decision model testing galaxy with @tiffbogich and @cmoon6 on May 24: hubs.ly/Q01NBWry0
Bring your towel. 😉
#datascience #modelops #operationsresearch #orms
Carolyn Mooney retweeted
If a solver finds the best solution but no one's there to 🎉, does it make an impact? If a model stops doing what you expect, is there anyone to 🤔? Embrace collaborative workflows to 🪚 through the noise of using optimization at my tech talk on May 11. hubs.ly/Q01MB45k0
Carolyn Mooney retweeted
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
Carolyn Mooney retweeted
Next up: @ryanjoneil with a bit of optimization theater. Join us on May 11 for a story (and demo) of optimization models, the people who build them, and the stakeholders who rely on them: hubs.ly/Q01MB45k0
#modelops #orms #devops #datascience
Carolyn Mooney retweeted
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






