Fraud rarely happens in isolation — it's a connected activity, making it the perfect problem for graph technology. Let's discover the world of fraud detection using Neo4j to uncover hidden patterns and suspicious relationships that traditional methods often miss.

We'll start by modeling fraud scenarios using real-life-inspired datasets and demonstrate how Cypher queries can surface anomalies like transaction loops, fake identities, and collusive networks. Then, we’ll go further using the Neo4j Graph Data Science (GDS) library to apply powerful algorithms like community detection, centrality, and node similarity — helping you move from rule-based to intelligent, data-driven detection.

Whether you're a developer, data scientist, or architect, this session will give you practical techniques to expose fraud before it costs you. Live queries, real examples, and actionable insights — all packed into one graph-powered talk!

Many developers use cryptography without fully understanding how it works — and that’s where things often go wrong. Misapplied crypto can quietly weaken the security of an entire system.

In this talk, we’ll break down the core building blocks of modern cryptography in a way that’s practical and easy to grasp — no PhD required. You’ll learn:

• What cryptography actually protects (and what it doesn’t)
• The basics of symmetric vs. asymmetric encryption
• How hashing, digital signatures, and key exchange work
• Why randomness and entropy matter so much
• Common developer mistakes — and how to avoid them

Through clear visuals and real-world examples, you’ll leave with a solid mental model of how cryptography works — and the confidence to apply it correctly in your own projects.