Happy Saturday! This weekend’s editorial focus is on data quality and infrastructure and how these underscore technology adoption.
In a recent guest column, BioPhorum’s Ciera Clayton emphasizes the importance of organizational readiness in technology adoption, specifically, as it relates to manufacturing execution systems (MES). Advanced technological capabilities are great, but they aren’t magical cure-alls for an organization. “Focusing solely on advanced capabilities without addressing people, process, and governance challenges increases the likelihood of stalled initiatives and unrealized benefits,” writes Clayton.
Steve Gens expresses a similar sentiment in his guest column on regulatory information management (RIM) systems, noting that, “Modernization and readiness are not the same thing.” Building your modern tech stack on immature processes and broken data infrastructure is like building a house on a cardboard foundation.
Proper data governance and infrastructure are critical when it comes to adopting new technology — especially AI. In this guest column with Gourav Pandey, a quality lead at Takeda, he describes a multi-agent audit intelligence framework built for CDMO audit preparation and explains the quality safeguards underpinning this multi-agent system.
Before you go, be sure to check out some selected content from our partners below!
Tyler Menichiello
Chief Editor, Bioprocess Online