How Apache Pulsar Functions are Enablers for ML and Event Stream Processing Apache Pulsar functions allow programmers to script automated data processing of event streams and messages on cloud TPU/GPU hardware for AI/ML/DL functionality support using custom-written code in Java, Python, or Go. Many developers are also using Apache Pulsar for Serverless computing implementation after […]

Why Event Streaming is a Key Enabler of ML / AI Applications Event Streaming Concisely Defined With analytics applications of all flavors now rooted in machine learning and AI, event streaming is increasingly important. What is the most concise definition of event streaming? Real-time data streams flowing from financial transactions, for example, contain events such […]

The PubSub Messaging Concept of Apache Pulsar The publish-subscribe model of messaging is a key aspect of event-driven architecture in software development, where complex arrays of filters, tags, and keywords are used to deliver text, image, video, & other content to users that are customized by device, display, and personalized characteristics. The PubSub messaging concept […]

Distributed Messaging’s Crucial Role in Artificial Intelligence The current 10-year cycle in Enterprise IT is dedicated to the implementation of Artificial Intelligence (AI) solutions based in Machine Learning (ML) on “Big Data” platforms. Distributed messaging in data streams currently provides the event-driven architecture for most of the world’s largest ecommerce, social media, and web publishing […]