Open Source Data Management for Industry 4.0

Open Source Data Management for Industry 4.0

Thursday, March 21
4:00 PM - 4:40 PM
Room 120-121

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 effect 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 are AI/ML being applied to enable real time action?

Join us for this educational session, which includes a view into a roadmap for an open source industrial IoT data management platform.

Key Takeaways:
• Understand key use cases commonly undertaken by manufacturing enterprises
• Understand the value of using multivariate manufacturing 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

Presentation Video


Michael Ger
General Manager, Manufacturing and Automotive
Michael Ger has over 25 years of experience working in industry and Information Technology strategy roles. He has deep cross-industry knowledge in product development, manufacturing, supply chain and customer experience related business processes. As General Manager of Manufacturing and Automotive Industries at Hortonworks, Mike is responsible for driving the solution vision and go-to-market strategies within each industry segment and works with industry leaders to drive next-generation business insights through Big Data Analytics. Prior to joining Hortonworks, Mike worked at Oracle for over 20 years as their Automotive Industry lead, at A.T. Kearney as an Automotive Management Consultant and at General Motors (Saturn Division) as a Product Engineer.