Product lifecycle management (PLM) is an enterprise discipline for managing the data and processes involved in the lifecycle of a product, from inception to engineering, design, manufacture, sales ...

ValGenesis Smart GxP™ is the first AI-enabled platform purpose-built to unify validation and process development across the product lifecycle. Featuring five integrated applications—ValGenesis ...

In this Q&A from the 2025 Veeva R&D and Quality Summit, Ibrahim Kamstrup-Akkaoui, vice president of data systems innovation at Novo Nordisk, discusses simplifying system use through the company’s ...

This approach is repeatable, minimizes dependence on manual controls, harnesses technology and AI for data management and integrates seamlessly into the digital product development process.

One key challenge in AI implementation is fragmented data across departments, which slows decision-making and reduces the effectiveness of data use.

AI-enabled data collection and management can reduce the time and effort required for clinical trials, accelerate the drug development process, and help companies get new treatments to market more ...

Data management is the process by which businesses gather, store, access and secure data from business software solutions. Here’s what you need to know.

In the last three years, corporate views of master data management have rapidly evolved from data-centric confusion to a point where companies now focus on the consumers of master data and the ...

Discover the critical role of data-driven approaches in leadership development and how they can transform organizational success.

DQM is a core capability for organizations that need to make better data decisions. What are the responsibilities of different roles in DQM?