When conversational AIs like ChatGPT, Perplexity, or Google AI Mode generate snippets or answer summaries, they’re not writing from scratch, they’re picking, compressing, and reassembling what ...

While structured data offers a more straightforward path to AI implementation, unstructured data provides rich opportunities for insight—if you plan appropriately for its complexity. The key is ...

Big Data refers to a vast and diverse collection of structured, unstructured and semi-structured data that inundates businesses on a day-to-day basis. The big data space focuses on companies that ...

There are a lot of folks in the community saying that implementing structured data / schema on your pages will help you with AI Search visibility. But few have really tested it until now. And those ...

In June, Google announced it was deprecating seven structured data types from working within Google Search. Now, Google is also removing the reporting related to six of the seven of those structured ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Document databases are an increasingly ...

Traditional data warehouses—once the backbone of business intelligence and reporting—are increasingly misaligned with today’s data demands. The surge in data volume, velocity and variety has exposed ...

Background: Gestational diabetes mellitus (GDM) affects pregnancy outcomes and increases the risk of type 2 diabetes mellitus (T2DM) postpartum. Traditional health education interventions have shown ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...

In this TechRepublic exclusive, a COO states that successful AI initiatives must have the right unstructured data at the right time. Then, she details the proper unstructured data preparation for AI.