In structured data, the relationships between data points are well-defined, which enables data processing algorithms to extract meaningful insights efficiently.

In the dynamic world of data science, the conversion of unstructured data into structured data is a key process. This transformation is crucial for enabling more efficient data analysis and ...

Learn about the evolution of structured data in 2024 and its impact on SEO, from knowledge graph development to new data types.

As the industry strives for data use that is standardized, consistent, and fluid, payers that automate data flow, in the long run, will be able to discern the risk of each member and prioritize ...

The big data and artificial intelligence market is projected to grow from $385.89 billion in 2024 to $884.42 billion in 2029, ...

The startup Geniez has announced the end of its stealth mode and is focusing on developing software that connects large language models and agents with mainframe data, enabling real-time AI data ...

Here’s why structured data matters, key schema types to use and advanced techniques to boost visibility in rich results.

AI projects stumble not because of flawed algorithms but because the underlying data pipelines are weak or chaotic.

AI in construction can’t thrive on paper checklists and scattered files. Centralizing and standardizing project data drives ...

Illumex Technologies Inc., a Generative Semantic Fabric platform for structured enterprise data, leverages the power of GenAI to get data in a ready state for LLMs The two-year-old startup has ...

With LLM integration into its data lakehouse Cloudera is easing integration with open-source LLMs and vector databases for AI applications.