Are you planning to use artificial intelligence to solve enterprise problems? There is growing confirmation that you will need to address hindsight bias (aka label leakage) issue with your input data.

In the book Software Wasteland Dave McComb explores what is causing application development waste and how visualizing the cost of change and becoming data-centric can help to reduce the waste.

Service mesh offers a platform to connect, manage, and secure microservices. InfoQ spoke with subject matter experts in this area to discuss service mesh frameworks.

The Netflix cloud database engineering team provides several flavors of data persistence as a service to microservice development teams.

At QCon NY, Shriya Arora presented “Personalising Netflix with Streaming Datasets” and discussed a migration of a data processing job from batch-style ETL to stream processing using Apache Flink.

At QCon SF 2016, Frances Perry and Tyler Akidau presented “Fundamentals of Stream Processing with Apache Beam”, and discussed Google's Dataflow model and associated implementation of Apache Beam.

A look at Twilio Studio and how we can use it to create an omnichannel messaging chatbot to communicate with a company's customers, without the need to write a single line of code.

Released this past summer, JPA 2.2 delivered some frequently requested enhancements: better alignment with Java 8 features like the Date and Time API and retrieval of a query result as a Stream.

Lovethesales.com had to classify one million product data from 700 different disparate sources. We decided to create a hierarchy of classifiers through utilising machine learning, specifically SVM’s

In this article, we describe an example real world application of API monitoring which gets benefit by using approximate stream processing.