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 ...

Introduction The Accessible Information Standard (AIS) sets out how organisations should ensure people who have a disability, impairment or sensory loss get information they can access and understand ...

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 ...

Unlike reactive, rule-based approaches, Actian Data Observability defines and runs thousands of data quality rules concurrently across the entire data landscape.

In the hunt for authentic data to train the AI, your corporate data IP is next. As a result, data quality and authenticity will become highly valued - and the demand to prove provenance will soar.

The original Template for Intervention Description and Replication (TIDieR) checklist and guide provides a valuable foundation for reporting but is not specific to rehabilitation. The TIDieR-Rehab ...

Data governance, data integrity, and data quality are all widely used terms, but what do they actually mean and how are they connected? The purpose of this article is to provide a structured model for ...

Earlier this month, Bloomberg launched its Virtual Data Room (VDR), which is transforming how firms access and evaluate data. Traders Magazine caught up with Brian Doherty, Bloomberg’s Global Head of ...

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 February, Informatica issued a report that found data quality to be the number one issue preventing companies from succeeding with generative AI (GenAI) initiatives. A pair of data observability ...