The world is driven by connections – it’s time you leveraged the value hidden in your connected data. To not just react but predict and prescribe the best course of action, you need powerful data science created for connected systems.

In this webinar we want to give you whirlwind tour over Neo4j's Graph Data Science Library! Discover what it is exactly and why you should care about it to harness the predictive power of relationships in your data.
Particularily in the Nordics we see a lot of interest around the fraud topic - no matter if we are talking about financial instituations like banks and insurances or public regulators.
Therefore we want to take the opportunity in this webinar to not only talk about this topic but we also picked a simulated payment dataset to showcase in a brief demo how our powerful graph algorithms can help combat fraud or even prevent it in the first place.





Agenda

  • Neo4j in the Nordics - Tomas Eriksson & Fredrik Johansson
  • Graph Data Science Overview - Alicia Frame
  • Graph Data Science in Action - Håkan Löfqvist
  • Q&A Session


Who attends?
It doesn't matter if you are a fellow Data Scientist and want to understand why graphs and data science are THE perfect match or if you heard about Graph Algorithms or Graph Embeddings and want to know more, we will cover the topic from all angles.

Alicia Frame
Director of Product Management - Data Science

Alicia is the lead product manager for data science and a data scientist working at Neo4j. She is responsible for setting the roadmap and development plans for the Graph Data Science library, and works with customers and community members to build projects that show off the power of graphs. She's excited to be able to translate cutting edge academic research into tools to empower data scientists and developers.

Tomas Eriksson
Regional Sales Manager

Tomas is a Senior Account Executive, Nordics at Neo4j. Prior to joining Neo4j, Tomas has held a variety of Sales roles at companies like Oracle, SAS Institute and IBM. He studied at Umeå University, where he earned his Master’s Degree in System Engineering. Tomas loves the mountains and the sea and is a keen skier and sailor.
Kelsey Bieri
Data Governance Analyst, ICC

Kelsey Bieri is a Data Governance Analyst at ICC in the Master Data Management and Data Governance Practice. She has contributed to numerous data governance and data lineage projects in the Banking industry, helping organizations build a better understanding of their data universe. Kelsey holds a degree in Management Information Systems from the College of Business at Ohio University.

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