SAS 9 Content Assessment for 2026.09 has been released!   Enhancements include: Fitness checks for the SAS Enterprise Guide Correlations task have been enhanced. SAS Enterprise Guide projects with ordered lists are considered project-level concerns. SAS Data Integration jobs with cross joins and natural joins do not affect fitness checks. Enhancements have been made, performance has improved, and issues have been addressed across the applications. ... View more

SAS Viya 3 Content Assessment for 2026.09 Released! Enhancements include:   A new application—summarize SAS log steps—is provided in this release. This application identifies SAS program steps, provides real time and CPU time metrics for optimization on SAS Viya, and identifies runtime issues, table output, and users executing specific programs. Enhancements have been made, performance has improved, and issues have been addressed across the applications.   ... View more

SAS Viya 3 Content Assessment for 2026.08 has been released!  ... View more

Team Name Alloygorithms Track Manufacturing Use Case Use SAS Viya’s machine learning and optimization capabilities to analyze historical melt and chemistry data and recommend optimal nickel-based superalloy production sequences that minimize chemistry adjustments, wash heats, processing time, and material costs at SMM. Technology SAS Viya Region North America Team lead Ystallonne  Alves Team members Pragyat Gautam, Luke Stohrer, Abel Henson Social media handles https://www.linkedin.com/in/principal-data-scientist/ https://www.linkedin.com/in/ystallonne https://www.linkedin.com/in/pragyat-gautam-mba-77743192/   Is your team interested in participating in an interview? Yes Optional: Expand on your technology expertise Superalloy Metallurgy, SAS Visual Analytics, SQL, Python   ... View more

Team Name CashReservas Track Track: Banking Use Case CashReservas presents CashPulse Our solution aims to transform ATM cash replenishment from a reactive process into a predictive and optimized operation. By analyzing historical cash withdrawals, ATM balances, replenishment patterns, capacity, location, and seasonal behavior, the solution will forecast cash demand and anticipate which ATMs are at risk of running out of cash. Instead of simply refilling each ATM to its maximum capacity, the system will recommend which ATMs should be replenished, when they should be serviced, and how much cash they actually need. It will also optimize replenishment routes based on location, urgency, operational constraints, and service priority, helping reduce unnecessary trips, travel time, fuel consumption, and logistics costs. Additionally, the solution will identify over-capacity and under-capacity ATMs, recommending potential ATM swaps between locations according to their actual demand patterns. Ultimately, our goal is to deliver the right amount of cash, to the right ATM, at the right time—improving cash availability for customers while reducing idle cash, operational costs, and unnecessary replenishment activities.     Technology SAS Viya Region LATAM, Santo Domingo, Dominican Republic Team lead @JNavarro  Team members @czamora @EAALVAREZ  @GPolanco @Dberges  Social media handles https://www.linkedin.com/in/joao-alberto-navarro-sanchez-7b6655185/ https://www.linkedin.com/in/eduardo-a-45603913/ https://www.linkedin.com/in/cristiam-camilo-zamora-sanabria-1b1a4a36/ https://www.linkedin.com/in/gpolancoamat/ https://www.linkedin.com/in/diego-berges-econ/  Is your team interested in participating in an interview? Y Optional: Expand on your technology expertise HTML5, JavaScript (Vanilla + Modular), CSS3, Dockerized microservices, LLM via Ollama (DeepSeek model), Mock services (customer profiles, vehicle catalog, financial conditions), SAS, Python, C# .Net, Kibana, LogStash, SQL, PL/SQL, AWS, React, React Native, Angular,     ... View more