Tag Archives: Operations

Machine Learning in Operations

Today’s episode is about how to trust machine learning in operations. This is a really serious issue because the attraction of machine learning is strong, but does not translate into operations.

Why doesn’t it translate? Because operations is a closed loop process where we constantly get feedback and have to adapt and adjust. That makes it difficult to train models and hope that they work. This discussion gets into why that’s the case and what we can do about it.

Then we explore scenarios for machine learning and AI in operations.

Transcript: otter.ai/u/UBjf5IVnKvebTfQgW1xlneZdjOU
Photo: www.pexels.com/photo/high-angle-…of-robot-2599244/

Ops Research and Mapping

We explored Operations Value mapping. This lead to an a very interesting discussions of complexity budgets and how to measure complexity budgets. This includes managing supply chain, and value pipelines, and system coupling.

Complexity budgets could be a very powerful measuring tool for understanding operations value In an organization. Overall, this helps you explain the cost of complexity to organizational leadership.

Transcript: otter.ai/u/T1jXorfZO6Yc7fovBEXKgxSnxao
Image: www.pexels.com/photo/old-map-of-…-on-wall-4338273/

Quick Chat: Time Constraints on Operations Teams

Rob Hirschfeld, CEO/Co-Founder of RackN and Greg Althaus, CTO/Co-Founder of RackN have a short discussion of the issue faced by DevOps and Operations teams finding time to investigate new technologies that could improve their day to day capabilities. In this discussion, time is more important than money.