Harvard Business

FEBRUARY 1, 2017

Hosting the company’s critical business data and intellectual property in U.S. the same type of concern over losing intellectual property or sensitive financial information that I’ve observed when companies I’ve worked with consider working with Chinese institutions. on business.

Policies 28

Policies Intellectual Property Software Recruiting 28

Management Consulted

APRIL 11, 2016

Each of these leaders hold advanced degrees in economics, engineering, finance, management from top universities around the world. Intellectual property. THE BRATTLE GROUP INTERVIEWS AND RECRUITING. The Brattle Group’s flat structure enables analysts to work side-by-side with world renowned economists. Accounting.

Groups 100

Groups Interviews Culture Case Interview 100

Harvard Business

JUNE 9, 2017

In the escalating Google-Uber dispute, Anthony Levandowski, a key engineer working for Google’s self-driving car arm, Waymo, allegedly downloaded in 2015 more than 14,000 confidential files, or 9.7 “To do so would be to allow monopolization of broad scientific or engineering concepts and principles.”

Talent 28

Talent Intellectual Property Engineering Industry 28

Harvard Business

APRIL 20, 2016

You’re competing against platforms like Uber in transportation, Google in automotive, Airbnb in hospitality, LinkedIn in recruiting, Netflix in television, and the list goes on. Pratt & Whitney has partnered with IBM to enhance its engine management offering. And its importance as a source of value will only continue to grow.

Software 28

Software Company Intellectual Property Airlines 28

Harvard Business

MAY 12, 2017

In recent years, the Chinese frequently stole sensitive commercial data , such as intellectual property, to gain competitive advantages for their state-owned enterprises. These hackers also modified Yahoo’s search engine results to further their own criminal goals.

Intellectual Property 29

Intellectual Property Government Data Enterprise 29

Harvard Business

JULY 23, 2018

Companies and governments increasingly rely upon algorithms to make decisions that affect people’s lives and livelihoods – from loan approvals, to recruiting, legal sentencing, and college admissions. Where had he gone wrong?

Intellectual Property 28

Intellectual Property System Data Examples 28