Ekaterina Volkova-Volkmar

Codec helps brands remain relevant to their target audiences. Our content intelligence platform combines big social data with versatile machine learning solutions to tell brands what content resonates with the audiences they want to target, all before the brand spends big on high-production content. The result is interesting content, engaged consumers and increased marketing ROI. We enable brands to start contributing to culture through more relevant, valuable and impactful content. In this talk I will describe our innovative approach to one of the foundations in our research - brand audience analysis and relevant tribe search.

Ekaterina Volkova-Volkmar is a lead data scientist at Codec. Prior to this role she was a data scientist in the field of digital health. She finished her PhD at the Max Planck Institute for Biological Cybernetics in Tübingen, Germany, in 2014. With research background in neuroscience, computer science, and computational linguistics, Ekaterina is interested in integrating artificial intelligence into digital solutions to scale human expertise and excellence.

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