I think this might be the best answer In most enterprises the person wanting to get the software isnt a founder/c-level but someone who will need to pitch it internally and want to make sure it’s what they need (and doesnt get them fired)
SOFTWARE
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Community Votes on Major AI and Tech Companies
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Votes are in: @Linear
: 18 @Canva
: 8 @Vercel
: 7 @Stripe
: 6 @Spotify
: 5 @ToastTab
: 5 @Uber
: 5 Thank you all. On it. -

Free Alteryx Training: Automate Excel Functions with Workflows
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FREE, live 90-minute virtual training: Learn how to save time by transitioning #Excel functions to automated, repeatable Alteryx workflows! Awesome instructor @Major_Data_USMC Live Q&A Downloadable job aid 9/28, 12PM (EDT) Register now: https://
ow.ly/5rEz50PNBRc -
Legitimate B2B Advertising Platform for AI Products
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Their ads platform is truly legit too. Especially for B2B products.
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Keras: Two versions, a new multi-backend and a legacy TensorFlow
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There will be 2 Keras versions: – The new one, distributed as `keras`, fully multi-backend
– The legacy, TF-only one, distributed as `tf-keras` tf.keras will be the new one by default, but can be set to the old one if you need. -

Unity Catalog Shared Access Mode Features Announcement
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What’s new for #UnityCatalog clusters in shared access mode: Cluster libraries Python & Pandas UDFs Single-node ML See how these features can help you seamlessly move workloads to shared clusters and more https://
bit.ly/3Pdp85c -
Running AI Models Directly in Browser with Transformers.js
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Use Hugging Chat, but run the model directly in your browser with transformers.js
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Alteryx Analytics Cloud Platform Named Stratus Award Finalist
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Alteryx Analytics Cloud Platform has been named a finalist in the 2023 Stratus Award for Cloud Computing, recognized for innovating in the Cloud. What makes our platform special?
Self-Service Unified Enterprise-Grade Read: https://
bintelligence.com/awards/stratus
-award-for-cloud-computing
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PyDataset in Keras Core: New Sequence Class for Data Loading
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There's a new Sequence class in Keras Core, it's called PyDataset. It's basically the same functionality (in particular parallel loading), no major improvement. I would still recommend using http://
tf.data for anything performance critical.