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Analytics | Data for Good
Lilia Rodriguez 0
How SAS HBCU+ Fellows are inspiring future analytics professionals

Since its inception in 2023, the SAS HBCU Program has been dedicated to supporting faculty at historically Black colleges and universities (HBCUs) and predominantly Black institutions (PBIs). This initiative was created for educators who are passionate about learning and teaching analytics. The program brings together faculty members at different stages

Analytics
Alison Bolen 0
Growing up quantum in an AI world

Bill Wisotsky’s interest in quantum mechanics began in graduate school more than 20 years ago. For Wisotsky, a Principal Technical Architect at SAS, it was one of those ideas that takes root in your mind and doesn’t let go. As Wisotsky’s career progressed from studying behavioral neuroscience and teaching statistics

Advanced Analytics | Artificial Intelligence | Machine Learning
Albert Qian 0
SAS Decision Builder in Microsoft Fabric: Helping you translate insights into action

SAS Decision Builder is a decision intelligence solution, which means that it uses machine learning and automation to augment human decision-making for better and faster insights that drive tactical and strategic business decisions. It’s a cousin to business intelligence and the next step after data engineering and model training, completing the analytics lifecycle to help achieve business goals.

SAS Events
Olivia Ojeda 0
WIA spotlight: Women's voices in AI

This summer, the buzzword on everyone's lips is generative AI. From tech conferences and industry panels to mainstream media and casual conversations, AI has taken center stage, driving innovation and sparking debates about its impact on our future. One of the most exciting developments in AI is the growing impact

Analytics
Jonathan Moran 0
3 reasons why marketers need SAS® for customer analytics

Customer analytics is becoming imperative for organizations that desire to create and provide personalized and satisfying customer experiences. To understand and anticipate customer needs, preferences and behaviors in a fast-moving marketplace, organizations must make sense of unstructured data, apply industry-specific data and analytics techniques, and optimize every customer-level decision and

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