It can be tough to manage data manually, and doing so can sometimes lead to errors or inefficiencies. Spreadsheets can get overly complex, and data quality can suffer. This has become a large enough ...

For all of financial services’ progressiveness with technologies such as as generative AI capabilities and cloud or exploring the realm of quantum computers, there’s one thing they have yet to master: ...

DQM is becoming a core capability for organizations that need to make better decisions with data. What are the responsibilities of different roles in DQM? Image: WrightStudio/Adobe Stock Data quality ...

We are all familiar with examples of the poor data quality that pervades large organisations. How many misspelt versions of your name appear on letters and bills sent to you, for example? There are ...

Pharmaceutical and biotechnology companies generate mountains of data that need to be interpreted into information to make decisions. Knowledge about product quality and patient safety need to be ...

Utilities are becoming increasingly skilled at adapting to changes brought on by the digital age: pressure from automation, disruption from new technology, and challenges with how to ingest, manage, ...

Forbes contributors publish independent expert analyses and insights. Gary Drenik is a writer covering AI, analytics and innovation. In today’s rapidly transforming world, Data has emerged as a key ...

Universities must tighten the quality of the data entered into AI models to improve the output generated by tools such as chatbots. Universities have been cautious adopters of artificial intelligence.

In 2025, enterprises are leveraging AI capabilities to enhance data management. Just like 2023, 2024 was a dynamic year for enterprise data management, and 2025 is shaping up to bring even more change ...