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Innovation Abounds in ModelOps at SAS Hackathon

Started ‎05-25-2023 by
Modified ‎05-25-2023 by
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The SAS Hackathon brought together global teams to collaborate from March 15 until April 12. Teams developed innovative solutions to real-world problems using SAS® and open source on Microsoft Azure. SAS Hackathon teams have submitted their ideas and now await as a distinguished panel of judges evaluate their submissions.

 

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While we eagerly await the results, we can review the innovative submissions from the 72 teams who finished their hack. Teams leveraged various tools from visualization, open-source, deep learning models, digital decisioning and more. Nearly half the teams who finished their hack leveraged SAS’s ModelOps capabilities. Let’s dive into a few those teams.

 

Identify Parkinson’s disease with an app

 

Team ParkinStrike used machine learning to classify a user’s probability of having Parkinson’s disease based on their cursor movements. Their models were deployed into a REST API endpoint, which they leveraged within a custom application. Using ModelOps on SAS Viya, Team ParkinStrike were able to deploy their model into the right location and form to return actionable insights in the fight for early detection of Parkinson's disease.  

 

Team ParkinStrike's SolutionTeam ParkinStrike's Solution

 

 

Build a cheesy future

 

Team Notilyze leveraged SAS Viya to optimize cheese production and reduce food waste. Using models and business rules within their robust decision flow, they can suggest control adjustments in real-time to react to changing conditions. These adjustments allow them to use less milk and ensure their products are gouda quality 🧀

 

Ease return-to-office

 

As folks return to office, solutions like those created by the ML Jokers 2.2 team become vital. This team analyzed data from office workspaces to suggest comfortable yet cost effective heating and air conditioning strategies. ML Jokers leveraged multiple types of models and decision flows to make their recommendations.

 

Reduce healthcare costs

 

The iCarenetwork team pulled together a variety of data sources into predictive and text models to help reduce hospital costs.  They built models using SAS Viya and their favorite Python packages. Using python-sasctl, they registered their models into SAS Model Manager to test and compare their models, ensuring they select the best model for their use-case, regardless of language.

 

iCarenetwork's SolutioniCarenetwork's Solution

 

Monetize IoT Data

 

Team Algomine built dynamic pricing models for insurers leveraging IoT data. For the Hackathon, they teamed up with FoodWay2Health, a startup that sells healthy foods through modern vending machines. FoodWay2Health collects and shares a treasure-trove of IoT data from their vending machines. These models were combined with business rules to deliver personalized pricing for insuring the vending machines. Team Algomine’s solution was designed to improve over time, with the models automatically retraining based on new claims data.

 

React to Catastrophic Events in Minutes

 

Linktera4Insurance developed an end-to-end solution to alert insurance companies of their risk exposure minutes after a cataphoric event occurs. Every 10 minutes, the system pulls data from trusted news sources for extreme weather events. Using a decision flow deployed into SAS Container Runtime, they send email alerts to insurance providers listing the number of policies affected and the potential payout amounts, allowing insurance companies to react in minutes.

 

Linktera4Insurance's SolutionLinktera4Insurance's Solution

 

Keep equipment running

 

Using SAS, the REDE team built an end-to-end solution for mining equipment maintenance.  Operational data was collected every 60 second, which the solution used to recommend actions to keep the equipment running. The REDE team built supervised learning models in SAS and Python as well as optimization models to make their recommendation based on current conditions and constraints. They found that their solution increased throughput by 1-2%, increased quality by 3-4%, and lowered power consumption by 1.5%. With just a month using SAS tools, this team put together a golden solution with real, tangible benefits! 

 

Drumroll please!

 

There are too many wonderful submissions to cover in just one article, so check out the Hackers Hub to read up on more of these innovative teams!

 

I’m already on the edge of my seat awaiting the results of this year’s Hackathon. Join us at the SAS Hackathon Award Ceremony on June 1st at 9 AM ET on LinkedIn or YouTube to hear the track, technology and regional winners.  

 

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Then join us at SAS Explore for the announcement of the global winner. Looking for free registration to SAS Explore? Presenters enjoy free registration and call for content is open until May 31st.

 

 

 

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What was your favorite submission? Let me know in the comments!

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Last update:
‎05-25-2023 09:18 AM
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