As Executive Vice President and Chief Technology Officer, Bryan Harris is responsible for SAS’ award-winning software portfolio that empowers organizations with data and AI. In this role, he leads a global research and development (R&D) organization of nearly 4,000 people focusing on product design, engineering, advanced analytics and AI, industry solutions, modeling and quantum computing. Under Harris’ leadership, SAS launched the cloud-native SAS Viya platform and unified the entire portfolio across industry solutions and models. He is also known for his dedication to fostering a purpose-driven, inclusive culture within the R&D organization. He has led several initiatives to support professional growth and encourage cross-divisional collaboration, all of which contribute to SAS’ reputation as a top employer in the technology industry.
Throughout history, the ambition of technological advancement has always been driven by the pursuit of human prosperity. But with AI, we are approaching a pivotal gut check to live up to this promise for the next generation. In my role as CTO at SAS, I talk with a lot of
The ongoing impact of inflation on the economy is a persistent news headline. Organizations around the world are exploring how data and AI can help lower costs and improve efficiency. Georgia-Pacific, one of the world’s largest manufacturers of pulp and paper products, is ahead of the curve. They are poised
Given the headlines each week, it is clear that global disruption and economic volatility are not slowing down. At the same time, information overload is far exceeding human capacity. Despite these pressures, business goals remain the same: improve revenue, increase margins, operate more efficiently and meet customer expectations. So, how do
We hear a lot about responsible AI or AI ethics in the marketplace today. At SAS, we believe there should be a larger conversation about responsible innovation. In reality, the decisions made by AI are the outcome of algorithms, data and business processes. This means ethical considerations must be applied
