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How To Power AI, Analytics, and Microservices Using the Same Data

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Manage episode 520229763 series 3474670
Content provided by HackerNoon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HackerNoon or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

This story was originally published on HackerNoon at: https://hackernoon.com/how-to-power-ai-analytics-and-microservices-using-the-same-data.
Adam Bellemare explains how data streaming unifies AI, analytics, and microservices—solving data access challenges through real-time, scalable pipelines.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-streaming-architecture, #confluent, #adam-bellemare, #event-driven-microservices, #generative-ai-data-pipelines, #apache-kafka, #real-time-analytics, #good-company, and more.
This story was written by: @confluent. Learn more about this writer by checking @confluent's about page, and for more stories, please visit hackernoon.com.
Adam Bellemare, Principal Technologist at Confluent, explores how data streaming solves long-standing data access issues for AI, analytics, and microservices. By decoupling producers from consumers and enabling real-time, low-latency data flow, streaming creates a unified data layer that powers GenAI, RAG, and event-driven systems across organizations.

  continue reading

145 episodes

Artwork
iconShare
 
Manage episode 520229763 series 3474670
Content provided by HackerNoon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HackerNoon or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

This story was originally published on HackerNoon at: https://hackernoon.com/how-to-power-ai-analytics-and-microservices-using-the-same-data.
Adam Bellemare explains how data streaming unifies AI, analytics, and microservices—solving data access challenges through real-time, scalable pipelines.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-streaming-architecture, #confluent, #adam-bellemare, #event-driven-microservices, #generative-ai-data-pipelines, #apache-kafka, #real-time-analytics, #good-company, and more.
This story was written by: @confluent. Learn more about this writer by checking @confluent's about page, and for more stories, please visit hackernoon.com.
Adam Bellemare, Principal Technologist at Confluent, explores how data streaming solves long-standing data access issues for AI, analytics, and microservices. By decoupling producers from consumers and enabling real-time, low-latency data flow, streaming creates a unified data layer that powers GenAI, RAG, and event-driven systems across organizations.

  continue reading

145 episodes

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