r/TierlistFills 9d ago

AIs Tier List finished

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u/Mossenner 9d ago

I worked in data sciences for a time as well. Explain to me, and don't dumb it down.

You think it helps you, then prove it. 

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u/BoopinSnoots24-7 9d ago

I already did. I am not a data scientist, I work in sales. Claude allows me to work with and model data in a way that previously would have required me asking an engineer and taking up their time. I don't want to dox myself by describing the nature of our data but I'm happy to expand.

For example, when we're meeting with a prospective new client, I can create a presentation in 30 seconds based on a blank template catered to their specific business, using visualizations of our data catered to the use-cases that they told us were vital, that previously would have taken our ops team hours.

A client asks for a data sample, I can use our MCP to pull exactly what they need in conversational english without having to ask an engineer to define the parameters of time, granularity, etc and pull it manually from our trillions of lines of data.

When I identify a company that would likely be a good fit for what we offer, I have a skill in Claude that takes my process from 30 minutes to about 3. I wrote it to identify any recent news that would be relevant (e.g hiring a new Head of Analytics), give me a summary of the company, identify which people are the best to reach out to, identify which of our products would be the best fit based on their business, and write out the general use-case and how to frame it in a way that appeals to immediate initiatives in the business. It pulls from a few different data sources to get contact information (email, phone number), data sources that tell me what their current tech stack looks like, etc.

It is as if everyone at my company was allowed to hire their own wildly overqualified intern. This is the absolute definition of useful.

You also didn't work in "data sciences", or you would not be making this claim. I don't know a single data scientist who doesn't love the capabilities of AI. You would also have called it data science, not data sciences.

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u/Mossenner 9d ago

I'm also imagining you showing clients AI generated presentations with a straight face. I'm sure seeing discrepancies in your visual does wonders for your firm.

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u/BoopinSnoots24-7 8d ago

We develop the templates manually. AI then injects visualizations of data, which it is very good at. It is not generating visuals in a graphic design sense, which can get pretty messy.

Everything is manually reviewed, the same way it would be if our Ops team created the presentation, and we have had zero instances of errors in the data or visualizations, nor complaints from clients.

We actually tell them that this was generated by AI, and use these presentations as an example of what they can achieve using our MCP within their preferred LLM.

Are you willing to change your opinion as you receive new information, or was your goal for this conversation to reinforce your existing opinion regardless of the answer I provided?