Open Source Data Management for Industry 4.0

Continuously improving factory operations is of critical importance to manufacturers. Consider the facts: the total cost of poor quality amounts to a staggering 20% of sales (American Society of Quality) and unplanned downtime costs plants approximately $50 billion per year (Deloitte).
The most pressing questions are: which process variables affect quality and yield and which process variables predict equipment failure? Getting to those answers is providing forward-thinking manufacturers a leg up over competitors.
The speakers address the data management challenges facing today's manufacturers, including proprietary systems and siloed data sources, as well as an inability to make sensor-based data usable.
Integrating enterprise data from ERP, MES, maintenance systems and other sources with real-time operations data from sensors, PLCs, SCADA systems and historians represents a major first step. But how to get started? What is the value of a data lake? How is AI/ML being applied to enable real-time action?
Join us for this educational session, which includes a rare view from one of our SWAT team experts into our roadmap for an open source industrial IoT data management platform.
Key Takeaways:
• How to choose an initial project from which to quickly demonstrate high-value returns
• Understand the value of multivariate data sources, as opposed to a single sensor on a piece of equipment
• Understand advances in big data management and streaming analytics that are paving the way to next-generation factory performance