Oscar Castillo

Manufacturers are under pressure to simplify increasingly complex digital environments where MES platforms, IoT systems, AI pilots and connected worker tools often operate in isolation. The result is duplicated data, inconsistent workflows and frontline teams forced to navigate a maze of point solutions. This panel explores how leading organizations are building interoperable architectures that unify MES, IoT telemetry, data lakes and AI enabled applications into a cohesive ecosystem. Speakers will share practical lessons from global rollouts, modular MES strategies, data consolidation efforts and the cultural and technical shifts required to move from fragmented tools to an integrated, scalable digital manufacturing stack.

• Creating a unified architecture that connects MES, IoT telemetry, digital checklists and connected worker tools into a single operational backbone

• Moving from isolated pilots to scalable, modular solutions that work across plants with different levels of digital maturity

• Using AI agents to surface insights across systems and eliminate the need for workers to navigate multiple applications

• Strengthening data governance and cybersecurity to support interoperability and safe AI adoption

• Building a culture that supports experimentation, cross site learning and "safe to try" innovation