Some might assume artificial intelligence (AI) and machine learning (ML) are among the “latest and greatest technologies” that are on top of today’s hype list. Their adoption cycle — if they ever do see deployment on a large scale — is years away, one might assume. After all, software developers are really just beginning to take advantage of Kubernetes and microservices on a large scale a few years after their creation.

However, providers of AI and ML systems have begun to show how developers can already reap advantages of AI and ML for their existing production pipelines for cloud native deployments in a number of ways. The concept is simple: pure AI or neural network-aided ML can assume many of what developers says are the more cumbersome, time-consuming, and ultimately, boring tasks on both the development and operations side.

The overlap between machine learning and cloud native and other themes were among the topics discussed during a panel discussions at an Oracle-sponsored pancake breakfast.

The New Stack organized the event at the KubeCon + CloudNativeCon conference in Barcelona in May. Maple syrup was also provided.

The panelists were:

Bob Quillin, vice president, cloud developer relations, Oracle;

Jon Girven, co-founder and CTO, Antix and Sauce;

Ant Kennedy, CTO, Gapsquare;

Bola Rotibi, research director, software development, delivery and lifecycle management, Creative Intellect Consulting.

Watch on YouTube: https://youtu.be/22nYF4GOGRE