Forbes contributors publish independent expert analyses and insights. The path to enterprise AI maturity runs directly through data. However, constructing AI-ready data platforms is more than just a ...

Data strategies and modernization initiatives misaligned with the overall business strategy—or too narrowly focused on AI—leave substantial business value on the table. In partnership withThoughtworks ...

Data quality in the modern economy, where data-driving action is critical to business success, can no longer be perceived as mere tech detail. Business leaders increasingly use data to make strategic ...

Stop blaming "the algorithm" for bias; without a rigorous trust scoring framework, your AI is just a high-speed engine for ...

Privacy-first approach. Prioritizing privacy-first practices and compliance with privacy regulations creates consumer trust and enables better, more ethical data use ...

Fifty-five per cent of businesses say they are being let down by data quality technology. Joel Curry, MD of Experian Data Quality, explains how to ensure your data quality strategy works Most ...

Chief Digital and Artificial Intelligence Officer Craig Martell said private sector companies will play a crucial role in the Pentagon’s adoption of AI technologies and the pursuit of high-quality ...

Are you grappling with managing your test data in an automation framework? Here’s a fact: effective Test Data Management (TDM) can significantly improve your software testing process. This ...

Retail margins are always under pressure. And while today’s growth in digital commerce streamlines so much for retailers and shoppers, it also means new opportunities for bad data to cause problems at ...

According to research published by data management consultancy Carruthers and Jackson, 26% of organisations, mostly in the UK and US, lack a formal data strategy, and 39% have little or nothing in the ...