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Analytics
Kristi Boyd 0
Trustworthy AI: 3 reasons we need it now

Who is responsible for ensuring that new AI technologies are fair and ethical? Does that responsibility land on AI developers? On innovators? On CEOs? Or is the responsibility more widespread? At SAS, we believe that it is everyone’s duty to innovate responsibly with AI. We believe that adhering to trustworthy

Analytics | Data for Good | Innovation
Jerry Williams 0
AI and sustainability: Balancing innovation with environmental impact

Artificial Intelligence (AI) can drive environmental innovation (EI) in sustainability and reduction of carbon emissions. However, the use of AI itself also comes with environmental costs. The high computational requirements of AI-based systems lead to significant energy consumption, contributing to greenhouse gas emissions. The energy consumption of AI systems can

Analytics | Artificial Intelligence | Data for Good | Internet of Things
Emily Johnson 0
Protecting the planet: 7 ways analytics supports sustainability

Analytics are vital to a safer future. As a renowned sustainability leader, SAS is committed to making a positive impact on our customers, employees, and the planet. Climate change is more important than ever, and the explosion of big data is essential to navigating this crisis. Learn how analytics is

Analytics
Vrushali Sawant 0
The ethics of responsible innovation: Why transparency is key

In today's world, data-driven systems make significant decisions across industries. While these systems can bring many benefits, they can also foster distrust by obscuring how decisions are made. Therefore, transparency within data driven systems is critical to responsible innovation. Transparency requires clear, explainable communication. Since transparency helps people understand how

Analytics | Innovation
Jessica Curtis 0
5 key questions to guide your connected factory strategy

Consumer goods manufacturers have faced significant challenges over the past few years due to rapidly changing demand and supply disruptions in their end-to-end supply chain. As a result, manufacturers have realized the need to strengthen their resilience and have prioritized assessing their manufacturing capacity to maximize output and automation. To

Analytics
Cheryl Cass 0
How UNC Wilmington data science students are using SAS to drive business results for Lightcast

Students in the master's program in data science at the University of North Carolina Wilmington (UNCW) drove real-world results using SAS® Viya® for the labor market analytics company Lightcast. The project gave students practical analytical tools to solve a business challenge – invaluable career preparation. At the same time, Lightcast gained business insights

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