In today’s interconnected digital landscape, information sharing is a fundamental aspect of business operations. However, the exchange of data comes with inherent cybersecurity risks, making it vital ...

Test data management (TDM) is a crucial practice for ensuring compliant data and providing uniformity to test data. In the same way testing environments and data models are continuously evolving, test ...

Data integrity is an ongoing concern across all R&D organizations, no matter what part of the research lifecycle they’re navigating. These concerns extend beyond the potential for delayed timelines or ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

The AI wave has come on faster than most (including me) expected. Over the last decade, companies have slowly but surely started deploying AI. Return on Investment (ROI) was beginning to turn positive ...

Despite the continued hype surrounding AI adoption, many overlook one of the biggest factors for AI success: data quality.

Leading Salesforce consulting partner expands cross-cloud capabilities to help clients harness data, AI and analytics to drive transformation and growth. "As businesses look to stay ahead in an ...

Vast majority of respondents say data privacy matters more to them than ever "As technology continues to advance at an unprecedented pace, it's clear that people are becoming increasingly aware of and ...

When Scott Milner first joined what is now the e-data practice at Morgan, Lewis & Bockius he recalls many "paper cuts in warehouses." This week, he assumed the new role of global head and practice ...