Quality leaders are rethinking QMS priorities in 2026. Here are the key takeaways from the Gartner® Magic Quadrant™, and what “Ability to Execute” means for real-world quality performance.
Quality management systems (QMS) in manufacturingevolved from medieval craftsmanship throughpost-industrial mass inspections to the sophisticated, data-driven frameworks used today.
Supply chain failure is considered a top threat to life science companies, second only to intellectual property theft. Despite the risks, the market for contract manufacturers continues to grow at a rapid pace.
Quality leaders spend years building their quality programs, designing workflows, training teams and earning organizational buy-in. Then they discover that a meaningful portion of what they built doesn't belong to them.
Mukesh Kumar discusses how high-stakes regulatory environments have shaped his approach to building resilient quality systems, and how AI and automation are now extending those capabilities across modern enterprise operations.
Mukesh Kumar, a SAP Premium Engagement Leader and enterprise transformation strategist, has spent more than two decades designing and delivering large-scale quality, compliance, and digital transformation programs across regulated industries.
Let’s look at several steps in a typical seamless production process and how they ultimately ensure that quality products are produced and delivered on time.
The landscape of quality management systems (QMS) in manufacturing is undergoing a profound transformation, driven by the imperatives of Industry 4.0, rising product complexity, and the need for greater operational resilience.