Remove Development Remove Early Adopters Remove Operations Remove Resistance
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0511 | Larry Downes: Full Transcript

LDRLB

In a better and cheaper world, you use the term big bang disruption or the sort of shark fin to describe what this model looks like, that you scale up to those early adopters becoming the majority way quicker than you can predict nowadays. We’re trying to figure out why some industries seem to be more resistant to others.

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Most Industries Are Nowhere Close to Realizing the Potential of Analytics

Harvard Business Review

In many cases, the culprit is a gap between launching a few analytics experiments and embedding these insights into the operating model of the larger organization. Merely layering powerful technology systems on top of existing operations is not enough. Another critical piece of the puzzle is acquiring the right capabilities.

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A Survey of 3,000 Executives Reveals How Businesses Succeed with AI

Harvard Business Review

And AI success stories are becoming more numerous and diverse, from Amazon reaping operational efficiencies using its AI-powered Kiva warehouse robots, to GE keeping its industrial equipment running by leveraging AI for predictive maintenance. Resist the temptation to put technology teams solely in charge of AI initiatives.

Survey 9
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Guest Post: Change Management Models

Change Starts Here

Some of us are “innovators” or “early adopters” whilst others are “laggards” The vast majority of us sit in the middle of the population as “The early or late majority” Again this is a people led model of change. Some resistance is inevitable, how will you overcome it?

ADKAR 60
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Improve Decision-Making With Help From the Crowd

Harvard Business Review

IBM saw these online social systems for investing in new ventures and decided they would like to develop a similar system internally for selecting innovative projects. Software companies have developed an alternative approach (“Agile” and “ Scrum ”) that uses rapid cycle testing of product features to see what customers like.