Why Test Data Management Is The Most Overlooked Part Of Quality Assurance
Harini Shankar is a technology leader with expertise in quality assurance, test automation, DevOps and cloud-native quality ...
Why the importance of robust data quality can’t be overstated
Improved decision making: High-quality data provides a solid basis for making strategic decisions. Leveraging accurate data to identify trends, forecast future outcomes, and develop effective business ...
pharmaphorum11d
Breaking down barriers: Data quality as a driver for pharma transformation
Digital challenges are everywhere for pharmaceutical companies There are several reasons why pharmaceutical ... Importance of data quality management in clinical trials The pharmaceutical industry ...
Why strong data infrastructure is essential for effective AI implementation
Artificial intelligence (AI) has revolutionized industries by offering unprecedented opportunities to automate processes, ...
Forbes1mon
Beyond The Algorithm: Why Data Governance Is Key To Pharma's AI Future
data quality and readiness (43%), a lack of technical maturity (43%) and a shortage of skills and data literacy (35%). Traditional data management practices simply aren't equipped to handle the ...
Silicon Republic16d
Why greater strides in AI and data literacy are needed
BearingPoint’s Ellie Fitzpatrick discusses the growing importance of data and AI literacy in order to best leverage its ...