I was hoping for some clever ideas about direction of software / UIs, and new use-cases for LLMs / AI, since for now I'm still struggling and have a lack of vision, it seems.
For example, I work on developing a logistics management and route optimization platform. If I try to envision new features that could be unlocked through AI or just LLMs, I basically get nothing back from my feeble brain, that I would fit into this category. E.g. - automate incident handling (e.g. driver broke down, handle redirection of other driver, handover of goods, reoptimize routes) - but the implementation would be just a decision tree based on a couple of toggles and parameters - no AI there? Other things that come to mind - we already use ML for prediction of travel times and service durations - it's a known space, that I refuse to call AI.
Apart from serving as an alternative and sometimes more efficient interface for data queries through NLP (e.g. "tell me which customers I had margin lower than 20% on, due to long loading times and mispackaged goods" - even then, all the data already needs to be there in appropriate shape, and it's just replacing a couple of clicks), I really fail to see new use-cases / features that the current state / hype for AI / LLMs unlocks.
Am I just lacking vision? Are there opportunities I'm grossly overlooking?
Turn the company jingle into a heavily distorted guitar track, make a database with 3d models of drivers, locations and drone footage, from departure to delivery including the people driving desks, then have the llm generate a movie with narration in a dark voice. Dealing with broken down vehicles is an opportunity to brag and show off.
Given all the log data for the last N packages, analyze for anomalies and hypothesis as to their cause. Eg is there a specific shipper, warehouse or driver causing problems?
ML does well when you have too much data for a human to wrangle and the search target is well described.
Ideas are probably the last thing humans will delegate to AI. We have needs and wants that Ideas help us meet, AI only sets priorities in a reactive way.
Yeah it's a pretty interesting experience actually, trying to use it for idea generation.
It's like talking to a very well informed and generally competent person ... who has no spark of creativity or insight whatsoever.
This does vary product to product - some are excruciatingly boring by design - but I think they're universally uninteresting just to different degrees.
For example, I work on developing a logistics management and route optimization platform. If I try to envision new features that could be unlocked through AI or just LLMs, I basically get nothing back from my feeble brain, that I would fit into this category. E.g. - automate incident handling (e.g. driver broke down, handle redirection of other driver, handover of goods, reoptimize routes) - but the implementation would be just a decision tree based on a couple of toggles and parameters - no AI there? Other things that come to mind - we already use ML for prediction of travel times and service durations - it's a known space, that I refuse to call AI.
Apart from serving as an alternative and sometimes more efficient interface for data queries through NLP (e.g. "tell me which customers I had margin lower than 20% on, due to long loading times and mispackaged goods" - even then, all the data already needs to be there in appropriate shape, and it's just replacing a couple of clicks), I really fail to see new use-cases / features that the current state / hype for AI / LLMs unlocks.
Am I just lacking vision? Are there opportunities I'm grossly overlooking?