For the UK to realize its AI ambitions, both public and private sectors must prioritize building robust data foundations. Entity resolution, contextual intelligence, and graph analytics provide the ...

Your Path to Financial Freedom “Art for finance tracking?” You might be tilting your head right now, and honestly, who could blame you? It sounds like an oxymoron, doesn’t it? But hold on a moment, ...

Actian, the data division of HCLSoftware, is introducing Actian Data Observability, leveraging AI and machine learning for comprehensive data quality monitoring as well as anomaly detection and ...

ROUND ROCK, Texas, May 12, 2025 /PRNewswire/ -- Actian, the data division of HCLSoftware, today launches Actian Data Observability, which leverages AI and machine learning for comprehensive data ...

The rise of AI-generated content is creating an authenticity crisis, risking unreliable AI models. In 2025, businesses must prioritize trust, interoperability, and high-quality data to ensure AI ...

Background Rehabilitation is a complex biopsychosocial process in which multidisciplinary professionals work in collaboration with a person and their family, with the shared objective of enhancing the ...

The proposal suggests adding new rules to the application layer response headers for robots: “DisallowAITraining – instructs the parser to not use the data for AI training language model.

Figure 2: Data governance model modified and extended from the data quality within a lifecycle approach model (taken from reference 2, Figure 15). The crucial concept is that data quality is only ...

Our data content spans company data, sustainability data, pricing, reference, investment research, regulatory data, and more. Building process and application on a foundation of high quality, reliable ...

This means data quality is critical for achieving the best AI performance. It also explains the differences between leading GenAI models, which are distinguished more by the data they have been ...

A recurring theme in big data over the past two decades is the poor quality of data. No matter how much ink is spilled on the topic, organizations continually seem surprised that the data they want to ...