Real-Time Machine Learning and Smarter AI with Data Streaming

Explore real-time machine learning and smarter AI through data streaming in this 39-minute podcast episode. Discover how Airy, an open-source data-streaming platform, utilizes Apache Kafka® to enhance customer experiences. Learn about the evolution of Airy from a conversational AI software to an open-source app framework for processing customer data in real-time. Understand the importance of data integration in improving customer interactions and how Airy aims to make data streaming universally accessible. Gain insights into Airy's architecture, its implementation of data mesh best practices, and what sets it apart from other stream-processing tools. Explore customer use cases, learn about Airy's current stage as a company, and find out how to get started with this innovative platform.

- Intro
- What is Airy?
- What is Airy's architecture?
- How does Airy work?
- Incorporating data mesh best practices
- What differentiates Airy from other stream-processing tools?
- Customer use-cases
- What stage is Airy in as a company?
- Getting started with Airy
- It's a wrap!