Data is valuable. Securing it has always been a challenge. Data integrity refers to the accuracy and consistency of data over its lifecycle. Compromised data, after all, is of little use to enterprises, not to mention the dangers presented by sensitive data loss. For this reason, maintaining data integrity is a core focus of many enterprise security solutions. Genetic Engineering and Biotechnology News brought this interesting information to our attention in their article, “Data Integrity Challenges Can be Addressed by Industry 4.0 Techniques.”

On-site data management is likely to get even harder as products and production processes become more complex and the volume of information increases. However, maintaining data integrity in manufacturing should become easier as the sector adopts the core principles of Industry 4.0 since this requires investment in better data management infrastructure.

It is important to maintain the integrity of data, but at the end of the day, data needs to be findable, and that happens with a strong, standards-based taxonomyData Harmony is our patented, award winning, artificial intelligence (AI) suite that leverages explainable AI for efficient, innovative and precise semantic discovery of your new and emerging concepts to help you find the information you need when you need it.

Melody K. Smith

Sponsored by Access Innovations, changing search to found.