Knowledge graphs and what they can do for master data management.

It has been a decade since Google first released an article about knowledge graphs. Since then, knowledge graphs have been incorporated in many ways at different organizations. Knowledge graphs help capture the true essence of data, semantics, and the relationships between them. As the saying goes, everything has a perspective.

During this event, our speakers will walk you through the implementation of knowledge graphs and the various ways they have incorporated this technology to tackle challenges and drive business.

We have planned sufficient time to address your questions and hear out your ideas and perspectives.

Knowledge graphs are here to stay, and the adoption of knowledge graphs is only going to continue to grow. If you are interested in this topic, this will be an insightful and entertaining event for you.

Last but not least, we are committed to having a lot of fun and doing some quality networking. You can definitely count on German beer and Italian pizza!

Katariina Kari (online), lead Ontologist at IKEA and Scoutbee's Knowledge Graph Advisor

Katariina is the lead Ontologist at Inter IKEA Systems B.V. Holding both a Master of Science and a Master of Music, Katariina specializes in the semantic web. In her free time, Katariina advises institutions, such as chamber music festivals, on digitalization, guiding the arts industry into the digital age. At IKEA, she models the IKEA Knowledge Graph, a common vocabulary to offer customers compelling interior design solutions in the digital space.

Presentation outline: A knowledge graph (KG) can be understood by dividing it into three layers: concepts, categories, and data. In this talk, Katariina runs through all the aspects that help understand the three-layered pyramid and how they play with the authorship, storage, and data quality of a knowledge graph.

----

Michael Hunger, Senior Director User Innovation, Neo4j

Michael has been passionate about software development for 30+ years. Over the last 12 years, he has been working on the open-source Neo4j graph database filling many roles, most recently leading the Developer Relations team. As caretaker of the Neo4j community and ecosystem, he especially loves working with graph-related projects, users, and contributors. As a developer, Michael enjoys many aspects of programming languages, learning new things every day, participating in exciting and ambitious open-source projects, and contributing to and writing software-related books and articles.

Presentation outline: Goodreads provides book metadata and reviews, ratings, and recommendations - perfect for a graph database. After importing a subset of the Goodreads dataset into a Neo4j AuraDB free instance, we’ll get a preview of applying graph data algorithms to our dataset to see how they cluster and what recommendations we can predict.

----

Nischal Padmanabha, VP of Data & Enterprise Architecture, Scoutbee

Having worked in the industry for 12+ years, across various enterprises and startups, Nischal has had the privilege of building and being a part of teams that have designed and implemented data engineering and data science solutions to solve complex problems. Understanding the challenges of developing data systems and taking them from the research to the production stage has been a fascinating and rewarding experience for him.

Presentation outline: Coming soon

Host or Publisher Scoutbee & Neo4j