David Frede

David Frede

Principal IoT Product Manager SAS

David is a seasoned product manager with deep roots in manufacturing and industrial engineering. Beginning his career as an application and sales engineer, David spent years on the factory floor helping manufacturers implement high-value solutions to improve efficiency, quality and reliability. His hands-on experience with industrial processes and control systems shaped a pragmatic, customer-first approach to solving complex operational challenges.

Over time, David transitioned into roles that bridged engineering with business – translating technical needs into strategic solutions. Today, at SAS, he leads product strategy for advanced analytics and AI-driven applications in manufacturing, helping companies unlock the full potential of their IoT and production data.

David’s background uniquely positions him to understand both the realities of shop-floor operations and the strategic value of enterprise analytics. His passion lies in building tools that empower domain experts, improve process visibility and accelerate industrial transformation.

Pre-Event Workshops & MxD Site Tour - Tuesday October 14

7:45 AM WORKSHOP C: Adapting to Emerging Technologies for Predictive Maintenance in Manufacturing

Getting ahead of manufacturing challenges around supply chain, digital transformation and sustainability has never been more important and requires adapting to emerging AI technologies. With the right data, digital twin, analytics solutions and processes in place you can simplify processes, anticipate future outcomes and deliver financially impactful results quickly.

In this insightful workshop we’ll explore how your organization can move from reactive to proactive maintenance and predict when parts will fail before there is an unplanned downtime incident.


Key Topics:

  • Explore how predictive analytics can foresee equipment failures avoiding equipment failures and maximizing uptime.
  • Examine case studies and success stories from manufacturing organizations that have implemented AI and analytics to predict accidents before they occur, reduce failures in a production stream, gain a 30% reduction in downtime and a 10% improvement in overall efficiency, reduce data cleanup times by 95% and more.
  • Understand the reference frameworks and typical deployment topologies for analytics within manufacturing organizations.
  • Engage with experts and ask questions specific to your organization’s applications of AI and analytics in the manufacturing processes

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

Download The Latest Agenda