Article: AI, ML, and Data Engineering InfoQ Trends Report—August 2022

In this annual report, the InfoQ editors discuss the current state of AI, ML, and data engineering and what emerging trends you as a software engineer, architect, or data scientist should watch. We curate our discussions into a technology adoption curve with supporting commentary to help you understand how things are evolving.

By Srini Penchikala, Dr Einat Orr, Rags Srinivas, Roland Meertens, Anthony Alford, Daniel Dominguez

ai architecture & design article containers data data engineering engineering infoq trends report machine learning ml ml & data engineering natural language processing programming languages report robotics system programming trends virtual reality