I imagine this is more about simplicity at a small scale, which then gets baked in too deep to easily refactor layer on
SOFTWARE
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Isolate Analytics Data From Core Application Databases
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This makes a ton of sense to me: keep less critical, high throughput data such as analytics in a separate database from your core application data such that any problems with the high throughput stuff are isolated from affecting your key tables
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Scalable AI Ecosystem Across Hybrid Cloud Enterprise
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Doing AI in a hybrid cloud environment? Need to use GPUs to accelerate ML? Check out Kjell Carlsson's talk TODAY, Nov. 2 from 3:05 – 3:30 CT, “Enabling a Scalable, Future-proof AI Ecosystem Across the Hybrid Cloud Enterprise." #MLOps #IoTWorld
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DataRobot Powers Gemini Sports No-Code AI Tool
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🏈⚾🏀 @gemini_sports chose DataRobot #AICloud to power their no-code AI tool, enabling both sports executives and data scientists to better impact on-field outcomes, faster. pic.twitter.com/jllqXDHTEh
— DataRobot (@DataRobot) 2 novembre 2022@gemini_sports chose DataRobot #AICloud to power their no-code AI tool, enabling both sports executives and data scientists to better impact on-field outcomes, faster.
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NVIDIA Isaac and DRIVE Sim Enable Rapid Robot and Vehicle Learning
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With NVIDIA Isaac simulation technology, #robots can earn a PhD in the blink of an eye. And with NVIDIA DRIVE Sim, autonomous vehicles can drive millions of miles in a wide range of simulated scenarios so they navigate safely. Learn more: https://
nvda.ws/3xTkalW #NVIDIAstory -
RFC 7807 Standard for HTTP JSON API Error Messages
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This is interesting: a proposed standard (RFC 7807) for how error messages in HTTP+JSON APIs should be structured, for example like this:
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ghp-import Script Uses Git Fast-Import Cleverly
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That ghp-import script is interesting, it uses "git fast-import" in a pretty clever way https://
github.com/ionelmc/python
-ghp-import/blob/master/src/ghp_import/cli.py
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GitHub Pages content generation options and alternatives
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Mainly trying to figure out what my options are for generating content that will be served using GitHub Pages
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Announcing redun: Open-source workflow framework for data scientists
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Excited to share redun with data scientists everywhere. We hope redun will help democratize data science at scale, and support robust, reproducible science. insitro (@insitro) We're excited to announce the open sourcing of redun, an expressive, efficient, and easy-to-use workflow framework designed to deal with complex, rapidly evolving scientific workflows spanning multiple data types. Read more here: insitro.medium.com/8b06b707a… — https://nitter.net/insitro/status/1456237571340652547#m
→ View original post on X — @daphnekoller, 2021-11-04 18:32 UTC