Only 12% of businesses trust their AI data. Learn why data integrity is essential for reliable, scalable, and risk-free AI ...

Most data mining research has focused on developing algorithms for building more accurate models or building models faster. However, data preparation and mining model deployment present several ...

Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot ...

Neo4j also trumpeted the value of graphs as vector databases used in generative artificial intelligence. AI training requires ...

Data Models in common use based on real world use-cases. These definitions underpin a digital market of interoperable and replicable smart solutions ...

This paper investigates the linear quadratic optimal output feedback control problem for an unknown linear continuous-time system. Combined with adaptive dynamic programming and optimal control theory ...

The Cleveland Clinic and startup Piramidal are developing an AI model trained on brain wave data to monitor intensive care patients.

Planning for integrated data systems must include requirements for interoperable data management, analytic model management and automation of federated governance and data management workflows.