Analyst Talk - Christopher Cruz - From Analyst to Technologist to AI Leader

Episode: 00308 Released on March 2, 2026 Description:  Artificial intelligence is rapidly changing how crime analysts work, but many analysts are still unsure where it truly fits in their role. In this episode, Christopher Cruz returns to Analyst Talk with Jason Elder to discuss AI’s real impact on law enforcement analysis, the concept of the analyst as a technologist, and why AI should be viewed as a tool for efficiency rather than replacement. The conversation explores data cleaning automation, report generation, custom large language models, trust and verification, and how agencies are cautiously piloting AI solutions. Chris also shares insights on staffing gaps, vendor-driven AI deployments, and why analysts who learn to leverage AI will free up time for deeper analytical work instead of clerical tasks. 🎧 Listen, share, and keep talking! [Note:  Description produced by ChatGPT.]
Name Drops: Jan Mondale (00:07:00), Dawn Reeby (00:11:30), Mike Watson (00:27:00)
Public Service Announcements: Dr. Eliann Carr promoting the Crime Analyst Census Survey
Link to survey:  https://form.jotform.com/251745683433058
Related Links:
https://chriscruz.cc/
https://www.justice.gov/ai
https://huggingface.co/
https://www.nist.gov/itl/ai-risk-management-framework
Key Terms:
Large Language Model (LLM) – AI systems trained on massive text data to generate responses and analyze information
AI Hallucinations – When AI produces incorrect or fabricated information confidently
On-Premise AI – AI systems hosted locally on agency servers for data security
Custom GPTs – AI tools trained with specific documents and instructions for specialized use
Analyst as Technologist – The evolving role where analysts bridge data, IT, and operational needs
Association(s) Mentioned: 
Vendor(s) Mentioned:
Contact: https://www.linkedin.com/in/cruzcr/
Transcript:  https://mcdn.podbean.com/mf/web/e9mhcar22x847wbq/ChrisCruzAI_transcript.pdf
Podcast Writer:
Podcast Researcher:
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00:00:17 – Introducing Chris
01:00 AI and the analyst perspective
02:30 Analyst as a technologist concept
05:30 Entry-level AI vs advanced AI tools
07:30 Trust but verify AI outputs and sources
09:00 Current state of AI adoption in policing
12:00 AI handling clerical and time-consuming tasks
15:00 Using custom AI tools trained on analyst workflows
17:00 AI fixing messy datasets and data cleaning
19:00 Hallucinations, accuracy, and verification risks
20:50 Break: Dr. Eliann Carr
24:00 Trust issues and legal considerations with AI
26:00 Data security and on-premise LLMs
31:00 Vendor-built AI systems vs custom deployments
33:30 How analysts can support AI implementation
36:00 Technology adoption challenges in agencies
38:30 2026 outlook for AI in law enforcement
41:00 AI in 911 and operational efficiency
43:00 Final thoughts: AI amplifies, not replaces analysts