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Title: Forbes, May 12, 2014


Author: Forbes


Narrator: Ken Borgers


Format: Highlights


Length: 1 hr and 36 mins


Language: English


Release date: 05-12-14


Publisher: Forbes


Genres: Business, Commerce & Economy



Summary:


Welcome to Forbes for May 12, 2014 from Audible. This edition contains seven feature articles. In the cover story: Is This How We'll Cure Cancer? With a radical new treatment, Joseph Jimenez is dedicating Novartis to one overarching mission: vanquishing mankind's ancient adversary. Its breakthrough might be the most tangible -- ever. . . .


Also, The World's Largest Companies: Is This China's Century? The FORBES Global 2000 is a comprehensive list of the worlds largest, most powerful public companies, as measured by revenues, profits, assets and market value.


Next, Nadella's Bid to Fix Microsoft: What Ballmer Didn't Dare 100 days in Nadella has established himself as the anti-Ballmer; theres less talk about seizing billion-dollar opportunities or hitting financial targets and more emphasis on investing profits to win hordes of new users.


Then, Amazon's Wholesale Slaughter: Jeff Bezos' $8 Trillion B2B Bet Forget the delivery drones and TV deals. Jeff Bezos stealthy foray into the unsexy world of B2B distribution is likely his most disruptive move yet and it has an $8 trillion swath of the economy running scared.


We'll also tell you how Nielsen Is About to Help Programmers Profit from Your Online TV Viewing Thanks to new partnerships with Google and Facebook, Nielsen can now track everything you view, even on your phone, laptop, or tablet.


Followed by, Why the Left Should Love Big Profits French economist and darling of the left Thomas Piketty is the latest in an endless array of economists who are clueless regarding profits and what brings about prosperity and a higher standard of living.


And in our final story, Forget Piketty Data Fascism Is the Bigger Threat A specter is haunting American capitalism. No, its not a French economist. Rather, it's the ghost of Frederick Taylor, dressed up in the fashionable clothes of big data and predictive analytics.



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