It takes all kinds of minds on a team – people with diverse backgrounds and skill levels – to do amazing things. If you are looking to join a team, let’s find you a group. Or maybe your team needs more hackers.  If so,  please follow these steps:   STEP 1. Reply to this post with your search criteria. Include the follow details: “I’m looking for a team.” or “I’m looking for a team member.”   Track name Skills Your LinkedIn and/or GitHub profile (if applicable)   Here’s an example: Interest: I’m looking for a team Track: Energy Skills: SAS Viya Social: https://www.linkedin.com/in/christine-brown-47425316/   STEP 2. Create your replies following this order to maintain consistency in the thread.   STEP 3. Contact a potential new teammate using the SAS Support Communities' private messaging feature to discuss if a team or member is a good fit.    STEP 4. You need to be a member of a team in order to officially register for the SAS Hackathon.   STEP 5: If you have any edits to your team after you Register, send an email to sashackathon@sas.com. The Event Team needs to know about any changes to your team and members. Also, don’t forget to update your team profile on the SAS Hacker's Hub.   Happy hacking!   ... View more

Team Name Medicine4Audit Track Health care & Life Sciences Use Case Using text analytics to “cure” labor-intensive audits and lower the burden on care personnel   Challenge Hospitals face a significant administrative burden when reporting clinical outcomes to national quality registries like DICA (Dutch Institute for Clinical Auditing). These forms are often manually filled out by medical professionals, consuming valuable time and resources.   Solution Medicine4Audit proposes an LLM-based extraction pipeline that automates the retrieval of relevant data from clinical texts to populate DICA forms. By leveraging generative AI, the team aims to reduce manual input, improve data quality, and streamline the reporting process.   Impact Efficiency Gains: Automating form completion could save hours per week for clinicians. Data Quality: Structured extraction reduces human error and improves consistency. Scalability: The solution can be adapted to other registries and hospitals. Technology SAS Viya (ML, Intelligent Decisioning, Python (Integration)) Region EMEA Team lead Eddy van der Heijde Team members Eddy van der Heijde @evdheijde  Nikki van Bommel @NikkivB  Joran Roor @snljro  Karen van der Sleen @kvds  Judith Schepers - Vinke @JudithS  Peter Schram @pjwschram  Eline Witjes-Boksem @EWitjes  Debby Vreeken @debby_vreeken  Nikki van den Heuvel @NikkiH  Social media handles *all team members' social media links here* Is your team interested in participating in an interview? Y Optional: Expand on your technology expertise     Jury Video:   Pitch Video:   ... View more

Team Name Data Cowboys Track Public Sector Use Case How can schools use data to identify patterns in shootings and allocate resources more effectively to reduce risk Technology SAS Viya, Python, Machine Learning, AI Region USA Team lead Cody Woodward Team members @shubhamokstate, @Codeia, @Amitnavare9 , @Varshi0701  Social media handles https://www.linkedin.com/in/shubham-choudhary-25832315a/overlay/contact-info/, https://www.linkedin.com/in/codeia, https://www.linkedin.com/in/var**bleep**h-kssp?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=ios_app, https://www.linkedin.com/in/amithnavare/ Is your team interested in participating in an interview? Y Optional: Expand on your technology expertise     Pitch Video Jury Video ... View more

  Team Name SASDataScout Track Health care & Life Sciences  Use Case Data-Driven Soccer Player Scouting Solution In modern soccer, talent identification and recruitment require accurate player comparison. Our solution integrates event data and advanced analytics to objectively evaluate performance and uncover similarities between players. Using SAS Viya and its data visualization and machine learning capabilities, it identifies tactical profiles that match specific team needs and enables clubs to explore player similarity and make faster, more reliable, data-driven recruitment decisions. Technology SAS Viya, SAS Visual Analytics, SAS Studio, SAS Model Studio Region EMEA (Italy, Europe) Team lead Paolo Curatolo Team members Paolo Curatolo Selene Gerali Filippo Giuliani Virginia Nucci Social media handles Paolo Curatolo https://www.linkedin.com/in/paolo-curatolo/   Is your team interested in participating in an interview? Y Optional: Expand on your technology expertise     Jury Video Pitch Video ... View more

Team Name Minority Reporters Track Banking Use Case Agatha, an AI voice agent, proactively calls customers to verify suspicious transactions, investigate possible fraud attempts, and take immediate protective actions Technology SAS Model Studio SAS Intelligent Decisioning SAS Viya Workbench SAS Visual Analytics Region EMEA Team lead Pasquale Maritato Team members Andrea Alessandrelli ( @AAlessandrelli) Fabrizio Tomasso (@ftomasso) Social media handles https://it.linkedin.com/in/andrea-alessandrelli-48754a164 https://it.linkedin.com/in/fabrizio-tomasso https://it.linkedin.com/in/pasquale-maritato-111074218 Is your team interested in participating in an interview? Y Optional: Expand on your technology expertise     Pitch Video   Jury Video   Demo Link   ... View more