Data decay: One reason insurers should value synthetic data
As data decays, it becomes less useful. See how synthetic data for insurance can help.
Artificial Intelligence
4 tangible ways for insurers to tackle climate risks
Climate risks threaten insurers' profitability and financial stability. See how insurers can adapt.
6 tips to maximize human productivity, lower costs and build trust in AI models
The search to maximize our own productivity is never-ending. We all want to be more efficient in our work and carve out more time with loved ones. As you assess data and AI technology to automate processes and maximize efficiency, you may wonder if it’s truly possible for you or
4 industries that stand to benefit from SAS Decision Builder
Making informed decisions quickly is more critical than ever. As markets shift and customer expectations evolve, companies need tools to process vast data and turn insights into actionable strategies. That’s where SAS Decision Builder comes in, now available through Microsoft Fabric's public preview announced at Microsoft Ignite. With SAS Decision
Racing to succeed with GenAI: Key takeaways for insurers
Insurers are racing to adopt GenAI, despite concerns. See where the industry is headed.
We’re in our developer era
Fearmongers would have you believe that AI will replace us, but I truly believe there has never been a better time in history to be a developer. With the advance of artificial intelligence into generative AI (GenAI) and enhanced computing power, we stand on the brink of a new era
The new data frontier: Next-generation AI technologies and synthetic data
Data scarcity, privacy and bias are just a few reasons why synthetic data is becoming increasingly important. In this Q&A, Brett Wujek, Senior Manager of Product Strategy at SAS, explains why synthetic data will redefine data management and speed up the production of AI and machine learning models while cutting
Marketers tap AI for synthetic data generation
Synthetic data generation, as its name suggests, is one component of generative AI. With this technology, marketers can generate artificial data sets that share the attributes and characteristics of real customer data. As marketers continue to expand their use of both traditional AI and GenAI, synthetic data generation reduces the
Navigating AI ethics in manufacturing and agriculture: Balancing innovation with responsibility
As we move into 2025, AI continues to transform industries in unprecedented ways, driving efficiency, innovation, and productivity. But with this rapid advancement come critical ethical questions. How can we ensure that AI systems protect the rights and well-being of individuals? Manufacturing and agriculture are two essential industries where answering
Tricks, treats and tech: Don't let your data scare you
Halloween is one of my favorite times of the year – I'm a Halloween enthusiast. It’s a time for spine-tingling thrills, haunted tales and lots of candy corn. But there’s one fear lurking in the shadows that sends shivers down the spines of data scientists, IT leaders and executives alike,