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Meta and Sierra Build Standard for How Personal Agents Interact With Businesses

An open standard that defines how personal agents interact with businesses is being developed by Sierra, Meta, Genesys, Instinct, Rocket, Shopify, Stripe and Walmart, Sierra Co-Founders Bret Taylor and Clay Bavor said in a Tuesday (Oct. 6) blog post. Set to be published by the end of the month, the Personal Agent Protocol will handle […] The post Meta and Sierra Build Standard for How Personal…

Meta and Sierra Build Standard for How Personal Agents Interact With Businesses

We haven't written up this one. PYMNTS has the full story — the link below goes straight to it.

Read the original at pymnts.com →

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Day 6: Data Preprocessing — Cleaning the Messy Reality of Enterprise Data

Real-world enterprise data is rarely ready for machine learning. Whether you are analyzing console output from high-performance networking hardware, such as troubleshooting transceiver EEPROM data on…

  • Raw enterprise data is messy and requires cleaning before effective use
  • Steps include handling missing values, managing outliers, and deduplication
  • Proper preprocessing turns chaotic data into clean format for ML algorithms

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