Integration is the art of harmonizing hardware, software, and equipment systems in order to optimize, visualize, and automate manufacturing processes.

Automation is the art of transforming manually performed business activities into processes that are orchestrated and controlled through software solutions.

Optimization is the art of maximizing manufacturing efficiency, throughput, OEE, yield, and quality by monitoring, analyzing, and iteratively tuning manufacturing processes.

Visualization is the art of providing transparency into manufacturing, engineering, and supply chain operations in order to enable continuous optimization.

Migration is the art of exchanging critical business processes and IT systems without disrupting manufacturing operations.

A white paper is an authoritative report or guide that informs readers concisely about a complex issue and presents the issuing body's philosophy on the matter.

Best practices documents describe manufacturing IT solutions which are accepted within the manufacturing industry as being correct or most effective.

Previously recorded webinars provide in-depth discussion regarding specific manufacturing topics and solutions.

Demos are brief videos that showcase a specific aspect of a manufacturing topic or solution.

Presentations and recordings from past events hosted or attended by SYSTEMA are available to view or download.

Case studies are up-close and detailed examinations of challenges faced within a real-world manufacturing environment along with proven solutions.

Data sheets provide critical pieces of information, such as features and technical details, related to SYSTEMA’s products and services.

Blogs are informal discussions or informational pieces related to manufacturing optimization topics, solutions, and SYSTEMA-related news.

Dr. Holger Brandl

Dr. Holger Brandl

Holger Brandl is an analytics solution architect at SYSTEMA (Dresden, Germany) where his work is focused around developing machine learning and cloud solutions for Industrial IoT and analytics. His commitment to revealing patterns in large unstructured data sets leads to quick and efficient delivery of actionable insights. The open-source tools, methods and algorithms he develops for factory optimization, high-performance computing, and data science are aligned with and supported by the latest technology and science. He holds a Ph.D. in machine learning, has developed novel concepts in computational linguistics, and recently co-authored systems biology publications in high-ranking journals including Nature and Science.

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