Food and beverage manufacturers face growing pressure to reduce costs, improve sustainability, meet regulatory requirements, and maintain the highest standards of quality and food safety.

Yet many facilities still struggle with a common challenge: critical operational data exists across machines, utilities, and processes, but remains difficult to access, interpret, and turn into meaningful action.

This presentation demonstrates how AI-enabled Industrial IoT (IIoT) technologies can bridge that gap and deliver measurable business impact without requiring complex IT projects or large-scale system replacements.

Using real-world examples from the world's largest soft drink and chocolate manufacturers, a leading bakery producer, and OEM-driven membrane filtration applications, we will explore how operational data can be transformed into actionable insights.

Attendees will learn how manufacturers are using connected sensors, industrial software, and AI-driven analytics to identify inefficiencies, detect emerging equipment issues, reduce unplanned downtime, improve energy transparency, and extend asset life. The session will also showcase how operational data can support more informed decisions across engineering, maintenance, quality, and production teams.

The presentation provides a pragmatic framework for connecting assets, contextualizing data, and converting insights into actions that improve reliability, support food safety objectives, enhance sustainability performance, and generate a measurable return on investment.