MODEX: edge ML in factories
MODEX 2026 panels argued edge ML is moving from isolated pilots to real-time orchestration across supply networks — pushing inference to the device for latency and privacy reasons video. Speakers cited tangible ROI: predictive maintenance deployments cutting unscheduled downtime by ~20–30% and a rising emphasis on resilience and sustainability metrics alongside cost.
The "Brownfield vs Greenfield Condition Monitoring" [session page]mx2026.mapyourshow.com listed speakers Joe Abeln (Fives Intralogistics), Kushagra Thakur (Forge APM, Honeywell), Roberto Michel (Peerless Media) and Marc Trusio (Senseye), framing retrofit vs. new-build ROI expectations across 45 minutes. mx2026.mapyourshow.com Marc Trusio’s speaker profile highlights his role leading Business Development for Siemens’ Senseye Predictive Maintenance and his work on multi-site rollouts to reduce unplanned [downtime profile]mx2026.mapyourshow.com, while Honeywell’s Forge APM was represented on the same panel as a commercial example of deployed APM [software session]mx2026.mapyourshow.com. mx2026.mapyourshow.com An on-floor seminar titled "Assessing the value of Edge AI Cameras for collision avoidance" [session]mx2026.mapyourshow.com featured Franck Gayraud (Blaxtair) and detailed edge-camera detection rates and false-positive tradeoffs for forklift/pedestrian safety, paralleled by a "Sensor Data Fusion" session that demonstrated LiDAR+vision+IMU fusion for fleet safety and predictive [alerts session]mx2026.mapyourshow.com. mx2026.mapyourshow.com MODEX’s 2026 program and scale—April 13–16 at the Georgia World Congress Center with more than 1,000 exhibitors and 200+ educational sessions—set the stage for these vendor-led operational case studies and the MHI Annual Industry Report keynote that foregrounded resilience and sustainability with MHI CEO John Paxton and Deloitte’s Wanda Johnson [event page]modexshow.com. exotec.com
