Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...

In today’s customer-centric market, addressing customer churn is no less than a battle. It requires in-depth data-led customer insights for proactive identification of churn risks, driving timely ...

Recent advancements in technology, data availability and changing consumer preferences have opened new opportunities for insurers to leverage data and insights. This allows them to enhance operations, ...

Time data is primal. It has always been thus for modern computing, mathematics and, now, artificial intelligence. From the founding grandparents of modern computing and AI – Ada Lovelace’s “analytical ...

To feed the endless appetite of generative artificial intelligence (gen AI) for data, researchers have in recent years increasingly tried to create "synthetic" data, which is similar to the ...

The main reason behind the rising popularity of data science is the incredible amount of digital data that gets stored and processed daily. Usually, this abundant data is referred to as “big data” and ...

Thanks to a boom in generative artificial intelligence, programs that can produce text, computer code, images and music are readily available to the average person. And we’re already using them: AI ...

In an era when data-driven decisions and systems influence every sector of business and society, talented professionals who bring an ethical framework to data science are more in demand than ever. The ...