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On-Demand Webinar

Bringing Knowledge Graphs to Life: From Theory to Context to Decision

The rise of knowledge graphs is transforming how organizations connect, contextualize, and interpret data. In this webinar, Quantexa's data science experts will take you through the evolution of knowledge graphs and explain their critical role in grounding Large Language Models (LLMs) and Generative AI in enterprise data. Discover how knowledge graphs can reveal new insights, mitigate risks, and provide a solid foundation for AI applications in business.

Join us as we dive into common architectures, discuss whether knowledge graphs need a graph database, and share best practices for integrating knowledge graphs within AI and data science workflows. This session is essential for data professionals looking to enhance decision-making and leverage knowledge graphs for impactful, data-driven insights.

In this webinar, you will learn:

  • What knowledge graphs are and how they evolve over time

  • The role of knowledge graphs in grounding LLMs and Generative AI

  • Best practices for implementing knowledge graphs to drive contextual insights

  • Use cases where knowledge graphs can reveal hidden risks and insights

  • Technical considerations and architectures for knowledge graph deployment.

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Speakers

Aaron Zolnai-Lucas photo
Aaron Zolnai-Lucas
Lead Data Scientist
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Aaron Zolnai-Lucas
Lead Data Scientist

Aaron focuses on AI and machine learning, specializing in graph learning. At Quantexa, Aaron has designed and developed an analytics engine scaling deep learning to knowledge graphs with billions of nodes, and worked on large bank and government projects.


Committed to advancing scientific knowledge, Aaron has published research on Large Language Models and graph learning and contributed to the popular open-source network analysis library NetworkX.

Anastasia Petrovskaia photo
Anastasia Petrovskaia
Product Manager
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Anastasia Petrovskaia
Product Manager

Based in London, Anastasia has over six years of experience in product management, with the last three years focused on decision intelligence. As a full-stack product manager at Quantexa, she is responsible for developing key platform components, including Entity Resolution and Graph Analytics, which are integral components of the decision intelligence solutions. With a background in full-stack product management, Anastasia is passionate about leveraging advanced analytics to drive innovative solutions. 

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Ben Houghton
Head of Analytical Innovation
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Ben Houghton
Head of Analytical Innovation

Ben is a data science leader with nearly 10 years of experience in machine learning and advanced analytics within the financial sector. At Quantexa, he leads a team of data scientists to build and deploy innovative analytics products using network analytics, machine learning, deep learning and NLP. Prior to joining Quantexa, Ben was Head of Data Science at Barclays.

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Steve Wilcockson
Technical Product Marketing Manager
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Steve Wilcockson
Technical Product Marketing Manager

Steve focuses on model-led and data-driven technologies, particularly quantitative research to production workflows in financial services front and middle offices. At Quantexa, Steve advocates analytics, AI, and data management capabilities for the Quantexa Platform.

Prior to Quantexa, he worked for time-series and vector database provider, KX, Java OpenJDK support organization Azul Systems, satellite data specialist Geospatial Insight, and MATLAB developer, MathWorks.

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