Google: The full stack AI company
A startup might achieve a breakthrough in an AI vertical, but reaching hundreds of millions of users could take years. The same breakthrough in Google’s hands could be “turned on” for a billion users overnight. Users benefit immediately, while Google’s products become sticker and more valuable.
Google is already seeing a similar benefit. While competitors are using off the shelf processors for deep learning, Google’s TPU provides higher throughout, reduced latency and, perhaps most importantly, reduced power consumption. Because data center construction is Google’s largest capital spending line item and power its highest operating cost, the TPU meaningfully reduces both Google’s capex and opex.
Google’s AI efforts have built a fully integrated company that spans algorithms, data, hardware, and cloud services. This approach helps funnel the world-class AI of Google’s consumer products to its enterprise offerings, providing Google Cloud with a competitive edge. Bringing chip design in-house increases Google’s AI moat by improving performance, lowering latency, and reducing cost. Perhaps most critically, vertical integration enhances its organizational agility: Google can steer all parts of its organization to bring a new product or service to market. Consequently, Google’s AI will be at the forefront of the innovation for years to come.
How Facebook figures out everyone you’ve ever met
Shadow contact information has been a known feature of Facebook for a few years now. But most users remain unaware of its reach and power. Because shadow-profile connections happen inside Facebook’s algorithmic black box, people can’t see how deep the data-mining of their lives truly is, until an uncanny recommendation pops up.
Facebook doesn’t like, and doesn’t use, the term “shadow profiles.” It doesn’t like the term because it sounds like Facebook creates hidden profiles for people who haven’t joined the network, which Facebook says it doesn’t do. The existence of shadow contact information came to light in 2013 after Facebook admitted it had discovered and fixed “a bug.” The bug was that when a user downloaded their Facebook file, it included not just their friends’ visible contact information, but also their friends’ shadow contact information.
It’s what the sociologist danah boyd calls “networked privacy”: All the people who know you and who choose to share their contacts with Facebook are making it easier for Facebook to make connections you may not want it to make. Shadow profile data powers Facebook’s effort to connect as many people as possible, in as many ways as possible. The company’s ability to perceive the threads connecting its billion-plus users around the globe led it to announce last year that it’s not six degrees that separate one person from another—it’s just three and a half.
“Mobile phone numbers are even better than social security numbers for identifying people,” said security technologist Bruce Schneier by email. “People give them out all the time, and they’re strongly linked to identity.”
Will Amazon disrupt healthcare?
Amazon is exceptional at developing formulas to increase efficiency and decrease waste — two vital elements sorely lacking in the current healthcare paradigm.
Baby boomers may be tethered to their in-person interactions with physicians and pharmacists, but millennials are not. They are Amazon’s target audience.
Amazon has several key advantages in a world of personalized medicine — loads of storage space because of its AWS business, sophisticated predictive algorithms, and long-standing, data-rich relationships with millions of “patients”.
How Netflix works: the (hugely simplified) complex stuff that happens every time you hit Play
Netflix estimates that it uses around 700 microservices to control each of the many parts of what makes up the entire Netflix service…And that’s the tip of the iceberg. Netflix engineers can make changes to any part of the application and can introduce new changes rapidly while ensuring that nothing else in the entire service breaks down.
Turns out that Netflix and Amazon’s partnership turned out to be a huge win-win situation for both companies. Netflix turned out to be AWS’s most advanced customers, pushing all of their capabilities to the maximum and constantly innovating upon how they can use the different servers AWS provided for various purposes — to run microservices, to store movies, to handle internet traffic — to their own leverage. AWS in turn improved their systems to allow Netflix to take massive loads on their servers, as well as make their use of different AWS products more flexible, and used the expertise gained to serve the needs of thousands of other corporate customers. AWS proudly touts Netflix as it’s top customer, and Netflix can rapidly improve their services and yet keep it stable because of AWS.
People watch Netflix unabashedly at work (and in public toilets, too)
About 67% of people now watch movies and TV shows in public, according to an online survey it commissioned of 37,000 adults around the world. The most popular public places to stream are on planes, buses, or commuting, the survey found. But 26% of respondents also said they’ve binged shows and movies at work. People in the US were more likely to stream from the office, while users around the world were more likely to stream during their commutes.
For Netflix, mobile still makes up a small chunk of overall viewing. Netflix said it was about 10% as of 2016. But the company also said half of its users stream from a smartphone during any given month. Its audience is now around 110 million subscribers worldwide.
Will traditional auto makers steal the future from Tesla?
Even if electric cars take off in the early to mid-2020s when their cost is likely to be comparable to gas- and diesel-powered vehicles, Garschina thinks the major global auto makers will still dominate the business. Credit Suisse auto analyst Daniel Schwarz recently wrote that auto makers would emerge as winners from simpler, less capital-intensive production of electric vehicles over the next 10 years.
Investors might not be giving the auto industry credit for manufacturing skills honed over decades. As Tesla has found, mass-producing automobiles isn’t easy; the company continues to lose money and grapple with production woes. “The more we learn about new technologies, the clearer it becomes that the key auto makers won’t be disrupted overnight,” says Arndt Ellinghorst, a European auto analyst with Evercore ISI.
Morgan Stanley has estimated that it could take $2.7 trillion of infrastructure investment by 2040 to support a global electric fleet, including 473 million home chargers and seven million super-charging stations. It’s unclear where all that money will come from. The additional need for electricity would be equivalent to current U.S. demand.
These hot restaurants aren’t on maps, only in apps
Virtual restaurants, with their low overhead, are allowing restaurateurs to shift away from the capital-intensive model that kills 60% of new restaurants in their first five years toward something decidedly more techy.
By far the biggest company in the app-driven food-on-demand space is Grubhub. It is so invested in virtual restaurants that two years ago it lent one of its own customers, Green Summit Group, $1 million to expand. Green Summit, which launched in 2013, has kitchens throughout New York City, Todd Millman, its co-founder, says. There might be up to 10 different “restaurants” In a single kitchen. Though they appear on Grubhub as separate establishments, each with a distinct cuisine, all the food might be prepared in the same kitchen by the same staff.
In San Jose, Grubhub competitor DoorDash has built out its own kitchen space. There is one tenant so far, a pizzeria called the Star. (More are on the way, DoorDash says.) To save on rent, DoorDash built the facility in a disused portion of the Santa Clara County Fairgrounds. One month in, the Star’s savings have been notable, says Ben Seabury, chief operating officer of the 1100 Group, which owns the virtual restaurant. Typically, 30 cents of every dollar that comes into one of his restaurants goes to labor, says Mr. Seabury. But without waiters, bartenders and dishwashers, that cost is just 10 cents on the dollar—and even less when demand is high.
Virtual restaurants tap into a larger trend: Americans’ increasing aversion to cooking for themselves. For the first time ever in 2016, Americans spent more at eating and drinking establishments than on groceries, according to U.S. Census data. The food-delivery market is a small slice of that sector: It is only $30 billion in 2017, but Morgan Stanley estimates it could balloon to $220 billion within a few years.