Successful Event on Data-Driven Operations in Industry
calls for a follow-up
The kick-off event on Data-driven Operations in Industry proved to be a winning formula, clearly meeting the industry’s need to share knowledge on this topic. Attendees expressed strong interest in organizing similar events in the future to continue the exchange of ideas and best practices.
Industry leaders shared practical insights into the smart use of data, showcasing inspiring applications of Advanced Analytics and Artificial Intelligence (AI). The event sparked lively discussions among participants, fostering valuable new connections.
Held on November 28th at SAS Estate in Huizen, the event was co-organized by SAS, Notilyze, and HAI. It brought together pioneers from industry and academia to inspire each other and exchange experiences on the opportunities and benefits of Data-driven Operations. The vast potential of smart data utilization, analytics, and AI was evident, with early successes leaving participants eager for more.
Key Insights from Expert Speakers:
1. Dr. Jeroen J. Jansen
As an Associate Professor of Analytical Chemistry at Radboud University, Dr. Jansen shared compelling real-world examples of data analyses his team conducted for industrial partners. His presentation highlighted how combining process knowledge with AI optimizes production processes.
- Key takeaway: Reliable data and seamless integration of predictive models into daily operations are critical for impactful results.
2. Jos Kok
With over 35 years of experience in the dairy industry, Jos Kok, Plant Manager at Royal A-ware, discussed how the HAI Cloud Data Platform supports operations at one of the Netherlands’ largest cheese factories. From real-time production insights to successes with Predictive Analytics—such as the winning project from the SAS Hackathon 2023—he demonstrated that Data-driven Operations is already a reality.
- Key takeaway: Integrating data from various sources creates significant value, especially when combined with domain knowledge embedded in data structures.
Peter Wijers
Peter Wijers, Global Manager ICT & BI at Euramax, focused on the practicalities of implementing Machine Learning in industry. His mantra, “Think big, but start small,” resonated as he outlined a step-by-step approach to collecting, analyzing, and operationalizing data for smarter decision-making.
- Key takeaway: Gradual adoption of Advanced Analytics delivers substantial benefits for industrial processes. His advice: “You don’t need to be great to start, but you need to start to become great.“
Presentation Slides Available
Slides from the speakers’ presentations are available for those who want to dive deeper into the details: Access Presentation Slides.
Innovation in Practice: Worker Safety Demo
SAS showcased its Worker Safety solution during the event. The demo illustrated how SAS Data Analytics and Computer Vision can monitor unsafe behaviors, provide real-time alerts, and offer insights into long-term safety trends—all while adhering to privacy regulations. This solution has applications in industries such as Healthcare, Energy & Utilities, and Smart Cities.
The Power of Collaboration
The event underscored the value of collaboration. SAS and HAI, providers of analytics software and a cloud data platform respectively, joined forces with Notilyze, a data analytics specialist. Together, they cover the entire spectrum of data collection, storage, and analysis, driving more sustainable and cost-effective production processes.
This successful gathering has set a strong foundation for future initiatives, demonstrating the immense potential of Data-driven Operations in advancing industrial innovation.
Get inspired
Get inspired by these successes in digital transformation, data-driven operations, and smart use of data (science) in manufacturing. Also consider applications such as Overall Equipment Effectiveness, Statistical Process Control, smart quality control, smart batch release processes, golden batch management, CIP cleaning optimization, operator support, trending, in-line measurements, production and technology dashboards, smart utilities monitoring, and much more.
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