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ML Platform Meetup: Infra for Contextual Bandits and Reinforcement Learning

Netflix Tech

The key insight was that by assuming a latent Gaussian Process (GP) prior on the key business metric actions like viral engagement, job applications, etc., And finally each new observation needs to update the policy, compute offline policy evaluation metrics and then push the policy back to production so it can generate new intents to treat.

Metrics 50
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ML Platform Meetup: Infra for Contextual Bandits and Reinforcement Learning

Netflix Tech

The key insight was that by assuming a latent Gaussian Process (GP) prior on the key business metric actions like viral engagement, job applications, etc., And finally each new observation needs to update the policy, compute offline policy evaluation metrics and then push the policy back to production so it can generate new intents to treat.

Metrics 40
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Journey to Event Driven – Part 4: Four Pillars of Event Streaming Microservices

Confluent

Storing events in a stream and connecting streams via stream processors provide a generic, data-centric, distributed application runtime that you can use to build ETL, event streaming applications, applications for recording metrics and anything else that has a real-time data requirement. Building the KPay payment system.

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Edge Authentication and Token-Agnostic Identity Propagation

Netflix Tech

We had multiple types and sources of identity tokens, each requiring special handling, the logic for which was replicated in various systems. Critical identity data was being propagated throughout the server ecosystem in an inconsistent fashion. We would need to process authentication tokens (and protocols) further upstream.