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

EPISODE · Mar 2, 2026 · 44 MIN

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

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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: 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: [email protected]  Podcast Webpage: www.leapodcasts.com  Podcast X: @leapodcasts 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

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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.

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

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