2/While a data moat can be helpful, I find people tend to overestimate its strength. The engineering recipe of training on someone else’s API output also raises technical, business and legal questions. My longer piece on this in The Batch:
DATA
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Pre-Trained Models: Using AI Responsibly Without Sensitive Data
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mheu non il est déjà nourrit, c'est le principe du Pré-Train, il ne faut pas lui donner d'infos sensible, pas utiliser d'infos nominative, et ça se passera très bien
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Data Growth and LLM Training: Next Decade Projections
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Sorry I don’t follow. I was respond to you calling LLMs probabilistic, stating we’ve fed it too much data. I think we’ll collect more data in next 10 years than we’ve collected over the last few centuries. Just curious if you’d agree or disagree. Not trying to argue.
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Exponential Growth in Data Collection: Understanding the Pace
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But the amount of data we’re collecting is growing exponentially (or at least at a rapidly increasing pace), no?
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Companies Better Prepared for AI with Improved Data Infrastructure
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Many companies are better prepared for #AI according to Kyle McNealy, a senior vice president of equity research at @Jefferies who covers @IBM . “Customers were not ready in 2011. Now, the landscape could be changing. More organizations have data infrastructure and engineers.”
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Data Foundation as Key to Managing ESG Commitments Successfully
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A well-designed data foundation can be a gamechanger when it comes to managing #ESG commitments. @valuefromdata
, IBM’s Global CDO, discusses how organizations can support their ESG efforts with the right #data and #AI architecture: https://
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Personal Data Marketplace: Trading Privacy for Convenience
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Thanks @JimMarous
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6 Essential Books on Data Science and Programming
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6 Books on Data Science! #BigData #Analytics #DataScience #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
geni.us/6Books-DSci -
Pattern Recognition and Computer Vision in Data Science
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Pattern Recognition and #ComputerVision CS NUS. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Pattern-CompSci -
I Heart Logs: Essential Resource for Data Science and Big Data
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I Heart Logs! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
geni.us/I-Heart-Logs