About the speaker
Kenny Daniel is a founder and CTO of Algorithmia. He came up with the idea for Algorithmia while working on his PhD and seeing the plethora of algorithms that never saw the light of day.
In response, he built the Algorithmia Cloud AI Layer, which has helped more than 80,000 developers share, pipeline, and consume more than 7000 models.
Through his work with hundreds of companies implementing ML, he then created the Enterprise AI Layer, which helps the largest organizations in the world deploy, connect, manage, and secure machine learning operations at scale. Kenny holds degrees from Carnegie Mellon University and the University of Southern California, where he studied artificial intelligence and mechanism design.
DevOps for ML and other Half-Truths: Processes and Tools for the ML Life Cycle
Except for the featured image, this story has not been edited by Javelynn and is published from a syndicated feed. Originally published on https://towardsdatascience.com/devops-for-ml-and-other-half-truths-processes-and-tools-for-the-ml-life-cycle-b642ece2d6c0.
