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5 Leadership Lessons: The Velocity Manifesto

Leading Blog

[As a leader], you—not the IT department, nor the VP of IT, nor the chief information officer (CIO)—must understand, drive and be accountable for how technology is structured in order to reach the strategic goals of the operation….Technology The thing you want to be these days is a “fast follower.”

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Leadership and Digital Transformation

N2Growth Blog

In the text that follows, I’ll provide you with 4 constructs to help you evolve your thinking around digital transformation. Your business now operates as part of a global digital eco-system where leveling the playing field has become a digital impossibility.

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How Much Do Companies Really Worry About Climate Change?

Harvard Business Review

Are managers particularly concerned about the impacts of climate change on their businesses? Part of the disconnect stems from what’s said by company leaders versus what a broad selection of managers think. If we believe the results of a recent MIT Sloan and BCG survey , the answer is no. But it may not be that dire.

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Five Questions Every Leader Should Ask About Organizational Design

Harvard Business Review

A few years ago Dave Ulrich, a management thought leader from the University of Michigan, made a comment I found both insightful and profound: “ Every leader needs to have a model of organization design.” An effective organization design model guides a manager in answering five fundamental questions in a thoughtful and well-integrated way.

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Build Your Bench Strength Without Breaking the Bank

Harvard Business Review

But it's critically important if yours is a fast-growing organization. For example, if you are planning to add new sites, you'll probably need to develop a cadre of site directors, and possibly a vice president for field operations. Scaling Social Impact Insights from HBR and the Bridgespan Group.

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Why Companies That Wait to Adopt AI May Never Catch Up

Harvard Business Review

They are planning to be “fast followers” — a strategy that has worked with most information technologies. Such central groups focus on framing the problems, proving out the business hypothesis, modularizing the AI assets for reusability, creating techniques to manage the data pipeline, and training across businesses.