Joakim Nilsson
Capgemini, European Knowledge Graph Lead
Malmö, Sweden
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Joakim is the European Knowledge Graph Lead at Capgemini, where he help organisations turn complex, siloed data into connected, usable knowledge. He was tech lead on a project named a 2026 Gartner Eye on Innovation finalist in Life Sciences & Healthcare, and part of a supply chain effort ranked 5th in Gartner’s global supply chain ranking.
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Building an Explainable GraphRAG System: From Clinical Notes to Knowledge Graphs with Neo4j
Show how to build a complete GraphRAG pipeline that converts unstructured clinical notes into an explainable Neo4j knowledge graph using LLMs. Cover entity extraction, graph modelling, temporal relationships, Cypher queries, GraphRAG retrieval, and lessons learned. Demonstrate how graph-based reasoning provides transparent, evidence-backed answers and discuss how the same architecture can be applied beyond healthcare.
Knowledge Graphs improve GenAI — validating results builds trust for organizations
This presentation is based on an article co-authored by me Joakim Nilsson together with the CTO of Capgemini Sweden Magnus Carlsson and Tomaz Bratanic from Neo4j.
Generative AI has the potential to revolutionize decision-making, but trust in its outputs is critical. One challenge is the unstructured nature of the large language models (LLMs) that GenAI relies on, making it difficult to understand how it arrives at specific conclusions. Knowledge graphs can address this by providing structured, interconnected data, improving the accuracy and reliability of GenAI's results.
Knowledge graphs democratize access to AI by allowing non-experts to inspect how an AI reached its conclusions. This transparency builds trust, as the results are explainable, repeatable, and verifiable. In industries like manufacturing, life sciences, and telecommunications, this approach can enhance decision-making and free experts to focus on more specialized tasks.
As GenAI continues to evolve, the integration of knowledge graphs will play a vital role in ensuring that its outputs remain accurate and trustworthy, empowering businesses to embrace AI with confidence.
Streamlining Legislative Compliance with Neo4j
Discover how the use of Neo4j’s knowledge graph will revolutionize the way organizations tackle new legislation. In this presentation Joakim will showcase the power of knowledge graphs to map complex regulatory requirements into easily understandable models.
Explore how to extract critical insights to streamline compliance processes and reduce risk, enabling organizations to rapidly adapt to new legislation and ensure ongoing regulatory readiness.
To concretize this topic, Joakim will show a recent joint project between Capgemini and Neo4j on tackling the new DORA EU legislation that will be applicable as of 17 January 2025.
Attendees will gain insights into recent developments, challenges faced within the project, and what's to come.
Graphsummit Copenhagen
Co-presented with my colleague Johan on our work with Neo4j in the life sciences space.
NODES 2025 Sessionize Event
Budapest Data+ML Forum 2025 Sessionize Event
Global AI Bootcamp Oslo 2025 Sessionize Event
move(data) 2025 Sessionize Event
Data Saturday #49 - Denmark - 2025 Sessionize Event
Explainable AI Forum
Title of my session: How Knowledge Graphs improve GenAI: validating results to build trust
Nodes24
Neo4js annual conference Nodes
My topic: streamlining legislative compliance with Neo4j
NODES 2024 Sessionize Event
AI Expo
Title of my presentation: Fraud Unraveled: Real-World Insights with Knowledge Graphs
The HIVE
Global AI Notes User group Sessionize Event
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