Programming Tips
Rick Wicklin 0
Trap and map: Trapping invalid values

Finite-precision computations can be tricky. You might know, mathematically, that a certain result must be non-negative or must be within a certain interval. However, when you actually compute that result on a computer that uses finite-precision, you might observe that the value is slightly negative or slightly outside of the

Advanced Analytics | Artificial Intelligence | Customer Intelligence | Data Visualization | Machine Learning
Suneel Grover 0
SAS Customer Intelligence 360: Make better decisions with analytically driven marketing

According to the SAS Experience 2030 global study, by the year 2030 67% of in-person customer engagements (think sales assistance and information queries) will be completed by smart machines rather than humans. And while it may seem a bit ironic, the most personalized customer experiences could involve no people at

Work & Life at SAS
Josh Morgan 0
Mental health recovery during COVID can be complicated by the workplace

September is Suicide Prevention Awareness Month and Recovery Month, which have the important goals of preventing suicide and promoting the idea that recovery from behavioral health conditions is achievable. Amid an unprecedented year of stressors, 2020’s awareness months around behavioral health conditions have become more relevant to far more people.  In recognition of the challenges and changes in people’s work lives,

Work & Life at SAS
Danielle Adams 0
People Behind the Models: Biljana Wilsey

By now, you’ve heard about our work helping customers combat the coronavirus pandemic. As COVID-19 numbers rose rapidly and cities around the world shut down; SAS ramped up. From our Viya-powered COVID-19 dashboard to the COVID-19 Scientific Literature Search and Text Analysis environment and deployment-ready models, our teams moved quickly to be there for our customers when

Advanced Analytics | Analytics | Customer Intelligence | Data Management | Data Visualization | Machine Learning
Suneel Grover 0
SAS Customer Intelligence 360: Automated explanation and supervised segmentation

One of the wonderful aspects about my client-facing role at SAS is the breadth of audiences that I get to work with. No matter where you fall on this list: Data engineer. Business or marketing analyst. Citizen data scientist. Data scientist. Statistician. Executive. One topic is certain: We all love

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