In today’s tech landscape, shifting from batch to streaming inference marks a crucial evolution. Chirag Maheshwari explains how real-time processing minimizes latency and outdated data. For instance, by integrating frameworks like Apache Kafka with traditional methods, companies can achieve faster, more reliable insights, transforming how decisions are made in dynamic business environments.

Q&A

  • What is streaming inference?
  • How do hybrid architectures function?
  • What challenges does real-time ML address?
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