AI-Driven Data Quality & Data Enrichment Platform

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AI-Driven Data Quality & Data Enrichment Platform

AI-Driven Data Quality & Data Enrichment Platform

@interzoid

AI-Driven Data Quality and Data Enrichment Platform. User Apps & APIs: Improve the ROI of your data assets: ANY data on ANY topic, visit https://t.co/AwjUAjzA2n

San Francisco, CA Katılım Ağustos 2017
7.5K Takip Edilen1.2K Takipçiler
Kevin Naughton Jr.
Kevin Naughton Jr.@KevinNaughtonJr·
has anyone in sf ever had a conversation that didn't involve tech?
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Daniel Smidstrup
Daniel Smidstrup@DanielSmidstrup·
Tell me one thing you can do that CLAUDE cannot do yet
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Mark Cuban
Mark Cuban@mcuban·
I’m not a doomer an AI at all. I think the nature of work, particularly entry level jobs will change. Ai will make business more complicated and competitive. Not less. Which means more layers where humans have to make decisions before the next process can happen And there will be millions, if not more, local models. We will we modify and train them for our lives and the businesses we create. Just leveraging the foundational models for things we don’t have access to. Maybe the new gig economy will be the models that represent our lives and the knowledge and experiences each one of us train those models on, and we get hired by companies for access to those models ? Thoughts ?
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Sam Altman
Sam Altman@sama·
chatgpt has gotten soooo much better with the latest update. really proud of the team for this one.
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Mark Cuban
Mark Cuban@mcuban·
We should federally tax Tokens at the Provider level. Not a lot. Less than 50c per million tokens. It will accomplish 4 things (at least ) 1. It will push the big AI players to optimize tokenization, caching , routing and localization Which will 2. Reduce energy usage. Saving them in energy costs more than what they paid in tax and reducing strain created by the growth in energy consumption Which will 3. Generate maybe 10 billion dollars a year to start, but over the next ten years could grow 30x to 100x Which will 4. Create a source of funding to pay down the federal debt or deploy, in response to the things AI brings that we don’t expect or don’t like At some point the models will pass it on to customers. Of course. That’s ok. Customers will have the ability to choose between providers. Or to do everything using open source models locally. Thoughts ?
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Eliana
Eliana@eliana_jordan·
do you also test your saas with a real $1 payment in prod before going live? I don’t trust sandboxes anymore
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Peter H. Diamandis, MD
Peter H. Diamandis, MD@PeterDiamandis·
Data centers are going to the OCEAN. Panthalassa just raised $140 million led by Peter Thiel to build floating AI compute nodes powered by wave energy. Commercial deployment by 2027. This is real.
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Sam Altman
Sam Altman@sama·
being a dad is the thing that has most exceeded already-high-expectations in my whole life
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AI-Driven Data Quality & Data Enrichment Platform
From our perspective, enrichment and external data fit directly into that same framework alongside quality, cleansing, and verification of internal data. Our tools help organizations improve data quality and data value by making it as easy as possible to do these things.
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Fabio Lauria
Fabio Lauria@fabiolauria92·
Most SMEs I work with have valuable data sitting unused because manual preparation consumes their resources before analysis begins. Quality data matters, but accessing it shouldn't demand a dedicated team. My platform automates enrichment and transformation, eliminating grunt work so businesses can focus directly on extracting insights. 🎯
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Kaito
Kaito@KaiXCreator·
What will come after AI?
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