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Why the U.S. Needs Allies in a Trade War Against China

Harvard Business

He claims he wants to tackle the big systemic concerns involving theft of American intellectual property, the forced transfer of technology from American firms, and the state-driven nature of the Chinese economy. On December 1, in Buenos Aires, President Trump started the 90-day clock to negotiate a trade deal with China.

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FTI Consulting Interviews and Culture

Management Consulted

Intellectual property. They aim to help companies protect enterprise value. Intellectual Property. Intellectual Property. Financial & Enterprise Data Analytics. These include: Disputes Advisory Services. Securities and Exchange Commission (SEC) investigations and litigation. Practice Areas.

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Where Trump Does (and Doesn’t) Have Leverage with China

Harvard Business

This is not a charity move on Walmart’s part, but rather a management effort to educate and train American manufacturers on the hidden costs of offshore sourcing and how to be more effective suppliers to Walmart. He can also press for a bilateral treaty imposing penalties on the state if it fails to stop intellectual property theft.

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A Dedicated Team of Problem Solvers Can Help Big Companies Act Like Lean Startups

Harvard Business

But for large enterprises seeking to grow by exploring new lines of business, thinking more like a startup makes a lot of sense. Sales staff are trained so that they can handle client questions and a promotional campaign is designed and executed. Clearly, large enterprises have things that slow them down.

Company 28
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Investors Today Prefer Companies with Fewer Physical Assets

Harvard Business

This scaling limitation seems to have an effect on enterprise value, and their multiples also fail to rise much higher than two. Their inadequacy is not surprising…given their training and development. On the top half of the chart, things get interesting. Reallocate capital. But today, capital allocation is Job 1.

Company 28
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How to Set Up an AI R&D Lab

Harvard Business

The moment a hyped-up new technology garners mainstream attention, many businesses will scramble to incorporate it into their enterprise. Machine learning challenges have significantly increased in complexity since then and it takes years of training and experience to develop a well-honed intuition that can sniff these problems out.

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