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Consulting Tip #6: Use Your Intellectual Property to Build Political Capital

Johanna Rothman

When I saw the McKinsey report on “developer productivity,” I shuddered. Second, there's no way to measure such a thing as developer productivity, despite what McKinsey says. Then I read Lorin Hochstein's brilliant assessment in On productivity metrics and management consultants. Articles on other people's sites.

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How to Design the Ideal (and Most Profitable) Consulting Business

Consulting Matters

In this article, you’ll find the 5 Stages to Design the Ideal (and Most Profitable) Consulting Business which shows you exactly how to set up your consulting business right…the first time. Set definite goals for your business with dates and metrics. Invest properly in your business and your own professional development.

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Create a Conference Proposal the Conference Wants and Accepts, Part 5: Write Your Bio

Johanna Rothman

Here's my speaking bio, in specific lines, so you can see how I use that template: Johanna, known as the Pragmatic Manager, offers frank advice for your product development challenges. She works with individuals, teams, and leaders across the organization to resolve risks and see alternatives for their product development.

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A Hands-Off Approach to Open Innovation Doesn’t Work

Harvard Business

In particular, large companies want to partner with small firms that have developed advanced, game-changing technologies. The challenges of big firm–small firm collaboration are considerable: different cultures, different attitudes about sharing intellectual property, different concerns about risk sharing, and others.

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Why Leaders Are Still So Hesitant to Invest in New Business Models

Harvard Business

Today, the majority of market value is made up of intangible assets (networks, platforms, intellectual property, customer relationships, big data) more than physical assets. In fact, it’s not even close: intangible assets make up over 80% of the S&P 500’s market value — a complete reversal from 1975.

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How CEOs Can Make Smart Strategic Trade-Offs

Harvard Business

Diminishing cycle times, rapidly changing intellectual property and fast R&D allow competition to catch up quickly on any breakthrough, so even the most valuable innovations can see their price premium drop rapidly. Leadership is changing — fast. Responding rapidly to opportunity versus ensuring high quality.

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When Is It Important for an Algorithm to Explain Itself?

Harvard Business

Often, the reason given is to protect intellectual property or prevent a security breach. As I hinted at in my article about identifying machine learning opportunities , different machine learning algorithms are more and less easy to explain.

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