As manufacturing technologies rapidly evolve, organizations face a common challenge: modern shopfloor sensors generate significantly larger volumes of data, enabling Al and machine learning platforms to rapidly deliver insights that previously required extensive processing time. These insights improve quality assurance and quality control by utilizing machine vision and acoustic inspection, which help detect defects in real time, enhance predictive maintenance scheduling by identifying equipment issues before they cause downtime, and reduce operational waste by optimizing the utilization of raw materials.

The OT infrastructure supporting this surge in data, network bandwidth, and compute demands often remains outdated and overloaded, resulting in adjustments to configurations which often lower security requirements and increase online exposure.

Attendees will learn common pitfalls and practical guidance to modernize legacy OT infrastructure, securely manage increased data volumes, network bandwidth, and compute demands of smart manufacturing while minimizing disruption to shopfloor operations. The session will also cover effective strategies for gaining stakeholder buy-in and detailed technical guidance for planning and executing successful OT infrastructure upgrades.