The future of data is one of flexible, natural ways of representing information—data that is organized less like tables and more like interconnected, complex webs.

With AI models being increasingly applied in critical uses like healthcare and safety, data quality is becoming a significant issue. Yet data is one of the most under-valued aspects of AI.

In this guide, we examine the data storage needs of artificial intelligence, the demands it places on data storage, the suitability of cloud and object storage for AI, and key supplier AI storage ...

ChatGPT and similar large language models learn from the data you put in — and there are big risks in sharing sensitive business information with AI chatbots.

Amid growing concerns over Chinese AI models like DeepSeek, new research suggests that fears may be overblown - at least when it comes to data privacy. In fact, some popular US-based AI chatbots ...

AI is upending the way robots learn, leaving companies and researchers with a need for more data. Getting it means wrestling with a host of ethical and legal questions.

What is generative AI in simple terms, and how does it work? Discover the meaning, benefits, limitations and dangers of generative AI with our guide.

Recently, defect detection systems using artificial intelligence (AI) sensor data have been installed in smart factory ...