Episode: 00302 Released on January 19, 2026 Description: Artificial intelligence is everywhere but to what degree? Andreas Olligschlaeger returns to Analyst Talk for a deep dive into AI in law enforcement analysis. We break down what AI really is (and isn’t), explore graph databases, anomaly detection, and Graph RAG, and discuss how analysts can use AI without replacing human judgment. The conversation also tackles ethics, explainability, and why validation and transparency matter more than ever. This episode is a must-listen for analysts trying to separate real capability from AI hype. 🎧 Listen, share, and keep talking! [Note: Description produced by ChatGPT.] Name Drops: Nancy Levine (00:32:07) Public Service Announcements: Related Links: https://www.leapodcasts.com/e/analyst-talk-dr-andreas-olligschlaeger-the-futurist-analyst/ https://www.cs.cmu.edu/~olli/dissertation.html Other podcasts on AI: https://www.leapodcasts.com/e/analyst-talk-david-jimenez-the-military-man-returns/ https://www.leapodcasts.com/e/analyst-talk-phil-powell-the-fundamentals-analyst/ https://www.leapodcasts.com/e/analyst-talk-real-crime-all-the-time-ai-is-a-lead/ AI Tools: Analyst-Friendly (Good Starting Points): Python Best for: Small, Medium, Large agencies Why: Widely used for data analysis, anomaly detection, and automation. Tons of tutorials and low barrier to entry. Website: https://www.python.org GitHub Best for: All agency sizes Why: Primary source for open-source examples, tutorials, and AI/graph workflows discussed in the episode. Website: https://github.com ChatGPT Best for: Small, Medium agencies (non-sensitive use) Why: Helpful for drafting, summarizing, and learning concepts—but should not be used with sensitive or classified data. Website: https://chat.openai.com Intermediate / Power-User Tools: Neo4j Best for: Medium, Large agencies Why: Core graph database used to model relationships between people, places, and events. Very powerful once set up. Website: https://neo4j.com Apache TinkerPop Best for: Medium, Large agencies Why: Provides the Gremlin query language to work across different graph databases. Website: https://tinkerpop.apache.org i2 Analyst’s Notebook Best for: Medium, Large agencies Why: Industry-standard link analysis tool; often paired with graph databases for visualization. Website: https://i2group.com/ Advanced / Infrastructure-Heavy Tools: Databricks Best for: Large agencies, federal partners Why: Cloud-based analytics and machine learning platform with AI coding assistants. Powerful but complex. Website: https://www.databricks.com Microsoft Azure Best for: Large agencies Why: Used to host graph databases, AI models, and analytics pipelines at scale. Website: https://azure.microsoft.com GraphRAG Best for: Large agencies, research units Why: Combines graph databases with LLMs to preserve context, relationships, and explainability. Website: https://github.com/microsoft/graphrag Secure / Local AI Options: Hugging Face Best for: Medium, Large agencies Why: Repository for open-source, locally hosted AI models to avoid sending data outside the agency. Website: https://huggingface.co Ollama Best for: Medium agencies Why: Allows agencies to run LLMs locally on their own hardware for added data security. Website: https://ollama.com Association(s) Mentioned: Vendor(s) Mentioned: I2 Contact: https://www.linkedin.com/in/andreasolligschlaeger/ Transcript: https://mcdn.podbean.com/mf/web/y49ywmf2w4qetmne/AndreasOlligschlaeger2_transcript.pdf Podcast Writer: Podcast Researcher: Theme Song: Written and Recorded by The Rough & Tumble. Find more of their music at www.theroughandtumble.com. Logo: Designed by Kyle McMullen. Please visit www.moderntype.com for any printable business forms and planners. Podcast Email: leapodcasts@gmail.com Podcast Webpage: www.leapodcasts.com Podcast Twitter: @leapodcasts 00:00:17 – Reintroducing Olli 00:01:32 – The real history of AI in law enforcement 00:06:23 – Using AI to help analysts write code (and its limits) 00:13:54 – Graph databases explained for crime analysts 00:17:58 – Generating investigative leads with AI & graph analytics 00:23:33 – Graph RAG: connecting documents, context, and explainability 00:39:45 – Ethics, transparency, and keeping humans in the loop
