Harvard Business Review

MARCH 16, 2011

Just observing a plant's operations can deliver "aha" moments that lead to real insight and simple fixes. For instance, at an industrial products manufacturer with a one-operator-per-line set up, we noticed that the line operators were walking around a lot and doing things that seemed to add little value.

Guidelines 14

Guidelines Operations Bottom-up Cost 14

Harvard Business Review

SEPTEMBER 11, 2017

The patterns that you develop at this key stage will grow with you and will spell the difference between running or stumbling as you hit the growth stage. Avoid specializing by customer type (SaaS vs. Ecommerce vs. Automotive) or specific types of problems–your go-to-market is still changing, continue optimizing for flexibility.

Metrics 13

Metrics Engineering Efficiency Learning-by-Doing 13

N2Growth Blog

JANUARY 10, 2017

Artificial Intelligence (AI) is at a tipping point, leading a watershed shift to digital intelligence by discovering previously unseen patterns, drawing new inferences, and identifying new relationships from vast amounts of data. Machine Learning Engineer: The objective of ML/DL is to develop a predictive engine for a specific use case.

Positioning 150

Positioning Company Engineering Incubator 150