Isaac Gallardo

Many manufacturers are modernizing unevenly, with individual plants pursuing their own digital initiatives without a unified strategy. Connectivity remains the foundational barrier, with issues such as inconsistent Wi Fi, legacy infrastructure, and siloed modernization programs slowing progress. This panel brings together leaders who are building enterprise wide connectivity roadmaps that support MES, maintenance modernization, digital work instructions, predictive maintenance, and connected worker initiatives. The discussion will explore how to align plants, IT, and operations around a common connectivity foundation that accelerates transformation at scale.

• Establish a unified connectivity strategy that aligns all plants and modernization programs under a common vision

• Build the foundational infrastructure required for MES, maintenance modernization, digital work instructions, and AI enabled use cases

• Identify and close critical gaps such as inconsistent Wi Fi, outdated networks, and fragmented technology ownership

• Create a scalable approach that avoids each plant taking its own path and ensures repeatable deployment models

• Connect connectivity investments directly to operational outcomes such as reliability, productivity, and workforce enablement

Danaher Corporation is transforming how quality data is collected, analyzed, and acted upon across its manufacturing operations. By combining digital quality workflows, AI-enabled analytics, inspection technologies, and operator-driven development, the team has moved beyond traditional spreadsheets and manual reporting to create real-time visibility into defect trends, process performance, and operational improvement opportunities. This session will explore how Danaher is building a scalable digital quality ecosystem that enables faster decision-making, stronger root cause identification, and improved manufacturing performance while securing buy-in from operators and frontline teams.

• Leveraging AI-driven quality intelligence to identify defect trends faster and improve operational performance.
• Transforming quality management from manual reporting and spreadsheet-based processes to real-time digital visibility.
• Using quality and process data to distinguish equipment and process issues from operator-related performance challenges, enabling more effective root cause analysis.
• Driving user adoption through an operator-led development approach, ensuring solutions are designed around frontline requirements and continuously improved through feedback.
• Building a scalable roadmap for AI vision systems and automated inspection capabilities to support deployment across multiple manufacturing sites.