Manufacturers operate some of the most complex machinery on the planet – from CNC machines and industrial robots to gas turbines with over 20,000 components. Keeping these assets running smoothly is mission-critical, yet maintenance teams are often buried under vague alerts, scattered documentation and time-consuming root cause analysis. Much of
We see headlines about misbehaving chatbots, fictitious reports, and systemic fairness issues. Yet AI risks are neither unexpected nor unforeseeable. They stem from a combination of well-known but underestimated risks across ethics, data security and legal topics. These are not black swans, but grey swans. Recognizing this shift in perspective
Building a machine learning pipeline in SAS® Model Studio is rarely a straight line. You start with a goal in mind but quickly find yourself navigating many decisions: understanding the nuances of your data, identifying and fixing data quality issues, choosing models for the task and evaluating training results to
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
How can schools use data to make strategic improvements for students at all levels, from special education programming to high-level performance? For Bettendorf Community School District, data revealed new opportunities and insights into engagement and achievement. Read all the stories in this series to find out how schools across Iowa
Every so often, new technology hits like an earthquake. It starts with faint rumblings, then suddenly creates an irreversible shift in the landscape. Social media was one of those moments. What began as an experiment quickly became a cultural engine, reshaping how we communicate, consume information and do business. Its
From intake to settlement, agentic AI can create notable improvements in insurance claims processing.
If AI engineering is the connective tissue, what exactly does it connect? In part one of this series, I made the case that AI engineering isn't just another buzzword – it's a discipline that integrates the technical, ethical and human dimensions of building AI systems. So, what are we connecting,
Now that AI has entered the business world, I believe the next stage involves combining AI technology with significantly greater computing power. Quantum AI represents the next step, opening up exciting prospects for organizations by enabling speed, precision, efficiency and innovation in areas where classical technology reaches its limits. Traditional
Responsible innovation is more than a framework. It’s the discipline of building technology that earns trust. As AI becomes more capable and deeply embedded in business workflows, organizations must ensure that every decision, design choice, and workflow supports accountability, transparency and human-centered outcomes. The Responsible Innovator Spotlight is a new
