Allen Yeung

Allen Yeung

Vice President of Product Dozuki

Allen Yeung is a supply chain and automation expert with over a decade at Colgate-Palmolive, where he led global initiatives in Industry 4.0, IIoT, and machine learning. He developed a five-year automation roadmap and introduced predictive analytics to reduce downtime and costs across manufacturing operations. At Dozuki, he leads product development and innovation efforts. Bringing easy to use and ROI-driven products to customers is his passion. During his time at Dozuki he has helped customers achieve meaningful results and adopt this cutting edge technology in realistic ways.

Event Day 1 | May 5, 2026

1:15 PM Executive Boardroom: Empowering the Future – Building a Digitally Connected Workforce for Manufacturing Resilience

Manufacturing is under pressure from every direction: labor shortages, retiring expertise, rising costs, and escalating operational complexity. Digitization is no longer the differentiator. The advantage now comes from building an operating system that learns, adapts, and improves every single day.

This executive boardroom convenes senior leaders for a high-level, practical discussion on architecting a digitally connected workforce. Through peer dialogue and applied frameworks, we will explore how to modernize frontline execution, institutionalize expertise, and turn daily work into a compounding strategic asset.

What You’ll Gain: 

  • Strategic Clarity: A pragmatic blueprint for moving from static documentation to a connected, data-driven frontline that aligns execution with enterprise priorities.
  • Workforce Resilience: Proven approaches to capturing tribal knowledge, accelerating onboarding, and protecting operational continuity as experienced talent transitions out.
  • Operational Performance: How intelligent workflows and real-time visibility reduce downtime, eliminate hidden bottlenecks, and improve OEE without adding layers of overhead.
  • AI-Accelerated Continuous Improvement: How embedded AI layers within frontline workflows surface patterns, detect gaps, recommend updates, and convert real-time signals into smarter processes. Move from reactive problem solving to a compounding improvement flywheel where every task strengthens the system.
  • A Self-Sustaining Continuous Improvement Engine: Design a closed-loop model where frontline feedback instantly informs documentation, training, and performance metrics. Capture issues at the moment of work, orchestrate updates automatically, and tie improvements directly to measurable gains in safety, quality, and productivity.
This is a strategic working session for leaders who expect digital transformation to be operational, measurable, AI-enabled, and durable.

Check out the incredible speaker line-up to see who will be joining Allen.

Download The Latest Agenda