302 karma · joined April 6, 2018
The other day I had a unique problem at Amazon and took me a while to get to a chat with human. They solved it in an instant. But the bot or AI previously was just asking questions that was irrelevant and making it difficult to get to the solution.
I’ve always wondered what’s the business case for spending more as I personally feel I am getting so much done.
I’ve always felt the US won trust and respect with these characteristics. It looks like we are now shifting strategy and I wonder where this will lead to.
Unmeshed has all of these, managing holiday calendars etc and makes it super easy. It even has agents for AS400 server commands if that is still a thing you need.
Joke aside, is this going to be cost effective? What would it cost to keep a scammer on the phone for an hour? Who will pay this bill?
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</article>1. Customer service - seems like natural language processing by AI could be a better offering than someone manually trying to resolve problems. I have been in front of many CS agents who couldn't do what I wanted them to do. Untrained CS agents, non native speakers, or people who just don't care enough to help.
2. Internet search - I don't have to search through arbitrary articles and text to get the answer I want. Now its not always accurate or the latest, but still better than scrolling through Google search (feel bad for the publishers and writers though - they aren't getting the same ad views as before and clearly not ideal)
3. Summarizing - AI does a fabulous job here - TLDR and more.
4. Rewriting things to a better tone - AI is going an amazing job here, every time I get stuck on how to write something OpenAI has helped me. Now I don't use the output as it is, but it gives me an idea of how to write my own message.
5. NLP interface to devices / tools = I think this is a really valuable use case.
Almost everything I suggested here is pointing to a $20 or a fixed monthly subscription for individual user. I don't know if its an "enterprise" need. Except for the customer service use case.
It’s more data and the data based probably of the next word leading to this. There isn’t a lot of intelligence in the model as such. It’s not thinking on its own that hey today I want to start working out so that I can lose my beer belly.
The adjustment of heights to make the trucks safer (for others) seems very minimal.
I like the clean separation from home and personal stuff. I like my office building, the view and being among people. There is a lot of stuff that makes it fun compared to being at home.
My commute is short so that works out for me. I also feel a lot more productive at work as my role involves a lot of collaboration to see things through.
I am curious why that didn’t happen. If this is an exec’s decision and this leads to bigger losses than paying Masimo, I wonder what would happen the people involved in the decisions.
Its capabilities comes to light when you model really complex workflows and one real value is how its all very visual not just during modeling but when running it. The history remains visible and you can even see how the whole flow evolved.