Webcast: Automated Intelligence and Supply Chain Risk Analysis Using NLP

Uncovering Hidden Relationships Between Tier-N Suppliers on a Graph Visualization

In this webcast Nelson Silva will show a case study how relationships in the supply chain can be evaluated to uncover risks and gain valuable information on competitors.

The automation of information extraction and the application of advanced machine and deep learning algorithms allow companies to gain valuable information insights about their competitors.

We will briefly describe a real use case of identification of challenges in the analysis of supply chain risks, and we will discuss how NLP and graph analysis, enables strategic decisions before new problems occur in the supply chain.

10SIlva

Nelson Silva is the Lead of the Strategic Intelligence business area at Know-center. His work includes advanced data analytics and visualization projects and the development of automated and intelligent analytics solutions. He is also a senior researcher at Knowledge Visualization division at Know-Center. His research interests are focused on eye-tracking for visual analytics recommendations and on the development of innovative adaptive and assistive user interfaces. He contributes with multiple techniques for human-robot collaboration, IoT and mixed reality research.

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