In this annual report, the InfoQ editors discuss the current state of AI, ML, and data engineering and what emerging trends software engineers, architects, or data scientists should watch. The editors curate their discussions into a technology adoption curve with supporting commentary to help us understand how things are evolving.
The image below shows the adoption categories:
AI, ML, and Data Engineering InfoQ adoption curve - August 2022
If you would like to dig deeper into any of these trends, then I recommend bookmarking this page: https://www.infoq.com/articles/ai-ml-data-engineering-trends-2022/.