AI and Computer-Aided-Dispatch

[Arnie Shore]

I have been wondering what effect AI might have on CAD operations, but couldn't really come up with anything I thought worthwhile -- YMMV!. So I thought I'd let an available bot -- perplexity -- answer. .Here's the result.

https://www.perplexity.ai/search/what-role-might-ai-play-in-com-K3gHw3jtRdiGMWIkKCQZhA

That's not the best question, I'm sure, but the reply suggests some others.  Your thoughts are welcome.

[Ronald Jones]

As the age of technology advances and AI becomes more widely used, I feel that unless there are individuals involved who have good knowledge of AI, projects like this will no longer exist or be relevant unless an "off-grid" backup is needed in case of system failures, or for hobbyists who enjoy tinkering with open-source dispatch systems. in my opinion

[Jackson Hardee]

the 'modern' AI is definitely impressive in its use cases but its far from being reliable. It is at best a tool to help assist humans for critical missions, we've been using classic machine learning/automation for a long time already in existing and pre-existing CAD systems, newer models should definitely reduce overhead (resource allocation) but that means more technical debt in upgrading existing tech. We definitely still need man-made codebases that guarantee quality assurance and compliance with regulatory requirements.

I think AI as in deep learning models embedded in robotics systems will be the next big iteration in the computer-aided dispatch world, adding/modifying requirements for managed real-time-communication and fleet management solutions. But this industry at the moment is probably the MOST unreliable at performing anything mission-critical, only the most isolated and heavily-tested use cases seem to succeed.

[Murali Thangaraj]

AI is transforming the law enforcement domain, particularly in predictive policing and data analysis. In the past, concerns about data availability and quality posed challenges to using AI effectively. However, with advanced AI models like DeepSeek R1 and the capability to run them in-house, predictive policing and data analysis have become more feasible than ever.

Additionally, AI can automate the creation of incident reports from incident narratives, streamlining the reporting process. To realize these possibilities, it is crucial to bring together the right people and develop well-structured, actionable plans. With the right approach, these advancements can significantly enhance law enforcement operations.

Thanks

Murali Thangaraj

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