AI Innovations: The Power of Feature Platforms - MLOps Mini Summit

AI Innovations: The Power of Feature Platforms - MLOps Mini Summit

MLOps.community via YouTube Direct link

[] Utilizing streaming cases for low-latency data

12 of 12

12 of 12

[] Utilizing streaming cases for low-latency data

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AI Innovations: The Power of Feature Platforms - MLOps Mini Summit

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  1. 1 [] Real-time data, predictive features, and model integration
  2. 2 [] Fast data-driven model advancement without engineering constraints
  3. 3 [] Supports software team, data scientists' rapid iteration
  4. 4 [] Big organizations use Python for enterprise performance
  5. 5 [] Python enables collaboration, rapid iteration, retrieval ease
  6. 6 [] Subscription model to avoid overdraft, credit building
  7. 7 []Flexibility in feature engineering platform building process
  8. 8 [] Transformation of features for an advanced classifier, improvements
  9. 9 [] Compiler processes definitions into actionable entities, connectors included
  10. 10 [] Managing and storing state in a compiler
  11. 11 [] Fennel uses rocks DB on SSD's, partitioning, replication
  12. 12 [] Utilizing streaming cases for low-latency data

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