Archiv für den Monat Juni 2016

Open Adoption Software (OAS) is The next wave in software

here’s a big shift happening in how enterprises buy and deploy software. In the last few years, open technology — software that is open to change and free to adopt — has gone from the exception to the rule for most enterprises. We’ve seen the IT stack redrawn atop powerful open-source projects, with developers opting for an “open-first” approach to building solutions. More than 78 percent of enterprises run on open source and fewer than 3 percent indicate they don’t rely on open software in any way, according to a recent market survey by Black Duck Software.

Redrawing Enterprise IT Stack

Openness is a near truism in the Valley, but today projects like Hadoop, Cassandra, Docker and Mule are infiltrating even the most conservative and dogmatic organizations. As such, startups like Cloudera, DataStax and MuleSoft are generating hundreds of millions of dollars in revenue each year from real enterprise customers by selling proprietary, value-added products around their open projects.

This is a new wave in software — one that’s not only displacing incumbent markets, but creating entirely new ones. We call these Open Adoption Software (OAS) companies, and we believe they’re primed to build meaningful businesses — and drive large economic outcomes.

We’re witnessing a big shift in how software is consumed.

OAS companies are constructed differently. They go through three phases of company building: Project, Product and Profit. Companies built atop this “3Ps” model need to look largely the same and be held to similar financial standards as traditional enterprise software businesses by the time they make it into the “Profit” phase. We discussed this a few weeks back in a panel conversation with startups and financial analysts — a timely conversation, as some of these companies reach the scale to potentially IPO. This feels an awful lot like 2003, just before the first SaaS companies started going public.

OAS is a customer-driven phenomenon

Open software has already rooted itself deep within today’s Fortune 500, with many contributing back to the projects they adopt. We’re not just talking stalwarts like Google and Facebook; big companies like Walmart, GE, Merck, Goldman Sachs — even the federal government — are fleeing the safety of established tech vendors for the promises of greater control and capability with open software. These are real customers with real budgets demanding a new model of software.

And the drumbeat is only getting louder. Each year we host 15 Fortune 500 CIOs as part of Accel’s Tech Council, and we continue to hear criticism about proprietary software (“expensive, slow to change”). Here are a few trends we identified that are driving customers toward this new model:

  • The Need for Speed and Control: The demand for innovation and rapid delivery means enterprises need agility from the software they adopt. Nothing is worse than waiting for a vendor to update a library when you’re trying to stick to your release schedule. Open platforms allow companies to move faster and integrate at a deeper level without fear of lock-in by removing the dependency on proprietary vendors. Enterprises are no longer beholden to a vendor’s product roadmap — they can innovate to their own requirements at any time.
  • Everything is Web Scale: Enterprises are delivering solutions to a global, ever-connected base of users. Consider banks that support tens of millions of end users logging into their banking apps and hundreds of thousands of employees worldwide. Traditional, proprietary vendors are unable to deal with this onslaught of data and user scale. Fortunate for them, many early web 2.0 leaders (Google, Facebook, Linkedin, Yahoo) dealt with these problems and more, contributing much of their learnings to the open community.
  • Developer Power and Network Effects: CIOs are empowering frontline developers to download and adopt the projects they need to drive innovation. Developers are looking to community-led technologies where they adopt, deploy and meaningfully participate. OAS extends beyond Moore’s Law by also benefitting from something akin to Metcalfe’s Law: its energy and rate of innovation grows exponentially with the developer networks around it. Open software can absorb learnings and requirements far faster than a proprietary vendor, while simultaneously hardening security and stability. Open software is in many respects, much safer. Hadoop and Docker are constantly stretched, pushed, molded and smoothed by their developer communities — they’re far more mature than their age would suggest.

All of this is to say: We’re witnessing a big shift in how software is consumed. OAS is openly adopted and openly developed, and is quickly becoming a dominant model for how enterprises build and deliver IT.

While most OAS companies have at least some amount of freely available or open-source components, open source and OAS should not be conflated. Open source describes a software development methodology, whereas OAS pertains more to a go-to-market and company-building philosophy. OAS is not about cheaper alternatives to proprietary on-premise software. It is about creating new markets more so than displacing incumbents. It’s innovative, it’s developer-driven and it’s the next wave of software adoption.

The next wave of software

With each successive wave of technology — from mainframe to client-server to ‘X’aaS (IaaS, SaaS, etc.) to OAS — software has gotten progressively easier to adopt. Therefore, adoption has happened faster and has reached a broader audience than the wave before it.

Waves of Software Adoption

Each wave is driven by the democratization of some facet of technology. In the shift from mainframe to client-server, computers became accessible. In the shift to ‘X’aaS, hosting and WAN connectivity became accessible. Now, with the shift to OAS, developer community innovation has become accessible. OAS not only represents a new way to provide innovative functionality, but is a delivery model innovation for developers.

Through it all, the customer desire for bigger, faster and cheaper offerings remains constant. The technological innovations that each wave brings facilitate change in how software is packaged and delivered so that customers can gain some form of efficiency or cost savings.

Being openly adopted is not a panacea.

With all of these shifts, industry pundits predicted that the new wave will commoditize existing categories. While some layers of the stack do get cheaper, consumption on the layer above consequently expands dramatically as more applications are developed and new use cases emerge. This new usage outpaces any commoditization. Thus, the value of the market opportunity expands rather than contracts. Salesforce and Amazon Web Services (AWS) exemplify this. Literally thousands of new businesses exist as a result of these platforms than ever could have in the past.

OAS is not an answer to all problems

While OAS companies drive adoption much faster than their fully proprietary counterparts, being openly adopted is not a panacea. Particularly as public cloud vendors begin hosting open-source projects as a service, it’s tremendously important that these companies thoughtfully decide which parts of the product will be open and which parts won’t. There is definitely a unique failure mode in which OAS companies go too open and fail to monetize sufficiently.

While we certainly believe in OAS, not all open projects are the basis for OAS companies, and not all of these companies are going to be publicly traded — some will be niches, some will struggle, some will be M&A opportunities. It’s hard to predict the winners out of the gate. While OAS companies will likely have the same success rate as traditional software companies, there is reason to believe that the winners will be bigger than their predecessors.

The next wave in software is open adoption software

Diane Greene, the woman Google acqui-hired in November to transform its fragmented cloud business

The first thing to understand about Diane Greene, the woman Google acqui-hired in November to transform its fragmented cloud business, is that she has the mind of an engineer.

Cool technology, elegantly designed and built, lights her up. Even her jokes tend to be geek oriented.

A lifelong competitive sailor, she was a mechanical engineer who built boats and windsurfers before she became an iconic Silicon Valley computer scientist.

The second thing to understand about her is that she hates the limelight.

While she’s fine with standing on stage talking about all the cool things Google is building for their new target customer, big companies, she prefers not to talk about herself.

In fact, she’s so ego-free, her office at Google’s Mountain View, California, headquarters is just a tiny windowless room, big enough to hold an ordinary desk and two chairs.

Diane GreeneBusiness InsiderDiane Greene.

Before she took the job, Google had been building products and pursuing business customers in a sort of hodgepodge way. Its Google for Work unit had Google Apps, Chromebooks, and an assortment of other products like videoconferencing.

It had poached Amit Singh from Oracle a few years back to help turn Google Apps into a more professional business unit, capable of taking on Microsoft Office. He had hired salespeople and created a support organization. (He’s since moved on to work for Google’s young virtual-reality unit.)

But Google for Work wasn’t working very closely with Google’s nascent cloud-computing business, running under Urs Hölzle.

That unit included a huge cadre of people running Google’s data centers (600 computer-security experts alone, for instance), but only a small separate sales force.

In the seven months since Greene came in that’s changed. She:

  • hired experienced enterprise sales and support personnel.
  • created the office of the CTO, which handles the technical questions, design, or customization of large customer needs.
  • created units that focus on specific industries, because an agriculture firm has different needs than a retailer.
  • created programs for getting more „reseller“ partners on board, the small consultants who will sell and support Google’s cloud to smaller customers, offering niche services.
  • created a Global Alliance program for working with big global partners.

„So these are all new,“ Greene tells us.

Now all the teams are working together. „We all get together once a week, we share and discuss and debate,” she says. „It wasn’t possible before I came because sales and marketing were in a different division than cloud. And cloud was in a different division than Apps. I feel like the structure is in place now and we’re hiring very aggressively.”

Hölzle wooed her to the job

Greene made her name as cofounder of VMware, with her famous Stanford professor husband, Mendel Rosenblum. VMware has gone on to become a giant tech company. She left the VMware CEO role about eight years ago, after EMC bought it.

Google Urs HolzleGoogle+Urs Hölzle.

Until taking this Google job, she was quietly doing her own thing, raising her kids, advising and angel investing in startups (many of which did spectacularly well), and serving on a few boards, including Google’s board since 2012. She was under the radar but still highly and widely respected, the queen of enterprise computing.

She was also working on a new startup, Bebop Technologies, until Google bought it for $380 million when it hired her. Greene’s take was $149 million, and she and her husband dedicated that money to charity.

Hölzle, the engineer who famously built Google’s data centers and runs the technical side of the cloud business, is Greene’s partner.

He believes that within a few years, Google’s cloud business can be bigger than its ad business. That’s a big goal: Google currently makes the vast majority of its $75 billion in annual revenue from ads.

Hölzle is the one who talked Greene into taking this job as they hung out walking their dogs together.

„Through being on the board, I got to know Urs and started working with him informally,“ Greene says.

„We knew we needed an overall business leader. He’s a brilliant person and fun to work with. He really wanted to me to do it. I just realized, wow, partnering with Urs, we can really do this, with the backdrop of Google which is just this amazing company,“ she says.

A new phenom

Google has placed itself at the center of one of the biggest, newest trends happening in the enterprise market. Some people call this trend digital transformation. But it’s more than just automating manual processes or turning paper forms into iPad apps.

cowsFlickr/Amanda Parsons

More and more, the IT departments at large companies have started treating their tech vendors as partners that help them cocreate the tech they need.

“This is new for me. I’ve never been in the enterprise where your customers are your partners. It was always, you had customers and you had partners. But almost every customer of a certain size is a partner. It’s going both ways now,“ Greene says.

She points to one customer, Land O’Lakes, as an example.

Land O’Lakes is probably best known for its butter and dairy products. It took crop and weather data from Google and worked with Google to build an app hosted on Google’s cloud. The app helps its farm and dairy co-op members improve their crop yields.

“It’s fun for us to help them do that,” she says. Unlike the old days, where an IT company would be the one to build the app and sell it to agriculture companies, “we don’t have to do it ourselves.”

‚More and more‘

This idea of partnering with customers is the key to her strategy.

google photos california mountainsTim Stenovec/Business InsiderGoogle Photos understand the image in the photo.

„For me, this is such a revolution,“ she says. „Everything is changing now that we are in the cloud in terms of sharing our data, understanding our data using new techniques like machine learning.“

Google’s competitive strength, Greene believes, is the breadth of the tech it can offer an enterprise.

Enterprise-app developers can tap into things like Maps, Google’s computer-vision engine (the tech that powers Google Photos), weather data, and language/translation/speech recognition. They can build apps on top of Google’s Calendar, documents, spreadsheet and presentation apps.

And, under Greene’s new integrated organization, they can even tap into the tech that powers Google’s ads or YouTube, search, or its many other services.

„And we’re going to have more and more,“ she says.

When a company can take its own data and combine it with all of Google’s technology and Google’s data, „there’s just huge possibilities,“ she says.

google chromebook play store android appsGoogle

Greene will tell you, „We’re the only public cloud company with all of that.“

When pointing out that Microsoft also offers a computer vision API, translation services, and APIs for Office 365, and that IBM also offers weather data and language services, and so on, Greene’s got a comeback ready.

“We have Chromebooks.”

Well, Microsoft has Surface.

“But Chromebooks can run all the Android apps, are totally secure, they have administration … and they have a nice keyboard,“ she laughs.

In fact, Greene says, “I only use a Chromebook now. I never thought I could do that but I love it.”

She’s watching Amazon

In truth, she’s not laser-focused on overtaking Microsoft, widely considered the No. 2 cloud player, with Google trailing behind.

google cloud napkinGoogle

She, like all the cloud vendors, are looking at market leader Amazon Web Services, which is raking in the enterprise-cloud customers.

AWS is even convincing a growing number of them to shut down all of their data centers and just rent everything from AWS. This includes Intuit, the other company where Greene is a board member.

AWS is so successful it’s currently on track to do $10 billion in revenue this fiscal year, and it’s also Amazon’s most profitable business unit.

And it blows all the competition out of the water in the sheer number of features on its cloud, as well as its partner ecosystem.

So how is she going to beat Amazon? By offering better tech, she says.

“I’m a little biased but I really do think, on the hard stuff, we’re the world’s best cloud,” she says.

Diane GreeneGoogleDiane Greene

“I agree we have more features to do, although we have the basics for enterprise that you need. We have more partners to bring on, but we’re doing that very quickly. But the hard stuff, I do think we’re the world’s best.”

While Greene would not share the cloud unit’s growth numbers, she says that “growth is really good and we’re doing great stuff with some really big customers.“

She adds: „We’ve been moving customers to our cloud both from Amazon and on-prem.“

„On-prem“ means getting companies to move the apps they have running in their own computers on their own premises into Google’s cloud.

Google has even been engaging Amazon with its price-cut war, according to Greene. “They’ve been following our price cuts. We’ve been initiating them,” she says.

She jokes, „We should make a T-shirt: ‚the highest quality, lowest-cost cloud.'“

http://www.businessinsider.de/how-diane-greene-transformed-googles-cloud-2016-6

 

Marketing in Perfection – How Apple Outmarkets Samsung

These two tech giants have very different marketing strategies. Which one are you emulating?

Apple and Samsung ran back-to-back phone ads, providing a perfect illustration of why Samsung never manages to get traction against Apple.

Here are the two ads:

https://www.youtube.com/watch?v=4snreaKYqFI

Samsung’s ad is all about the product. It consists of visual images of the product along with a list of its features.

Apple’s ad is all about the consumer. It didn’t even show the product. Instead, it showed what one consumer did with the product.

Two very similar products; two very different marketing strategies. Which is more effective?

Well, if you look at long-term financial performance and the ability to extract profit out of the phone market, Apple is totally kicking Samsung’s butt.

Here’s why. As I’ve written previously, all great marketing messages answer three questions, in the proper order:

  1. What’s in it for me?
  2. Why buy it from you?
  3. What’s the next step?

Samsung’s ad only answers the first two questions indirectly. It assumes that the consumer immediately knows why somebody would want those features. In the NBA ad (which was slightly different than the ad above), Samsung then resorts to a freebie discount.

(Just to be clear, offering a discount is by definition a desperate marketing move.)

Apple’s ad answers the first two questions immediately. Like the person who filmed this clip, you can do extraordinary things with your iPhone. It then leaves the call to action implicit: Buy an iPhone (and become extraordinary).

Every week I run into companies (and individuals) that echo Samsung’s market strategy. They go on and on about the „what“ and just assume that everyone will understand the „why.“

Very rarely do I run into companies (or individuals) that echo Apple’s strategy and make their marketing about that which the customer, client, or buyer wants to accomplish or dreams about becoming.

So I have this question for you: When you market or sell, are you talking about yourself, your company, your brand, and your product? Because if you are, you’re probably losing customers.

Look: In business, it’s not about you. It’s never about you. It’s always about the other person. Apple’s been illustrating this fact for more than 30 years. How long will it take for everyone else to get it?

 

http://www.inc.com/geoffrey-james/what-you-can-learn-from-how-apple-out-markets-samsung.html

Chinese money is fueling electric car startups like Atieva in an effort to catch up to Tesla

A few miles from Tesla Motors Inc’s Palo Alto headquarters, a Silicon Valley startup plans to challenge the electric car maker with a rival family of vehicles designed and built in the United States with major backing from Chinese investors.

Atieva plans to put a premium electric sedan on the road in 2018, followed by a pair of luxury crossovers in 2020-2021, company executives told Reuters in an exclusive interview. The company is racing not just against Tesla, but also against three China-based startups that are using Silicon Valley technologists.

Two of those startups are funded by the same Chinese internet billionaire backing Atieva. All three have opened technical facilities in Silicon Valley in the past year. Only one of those companies, Faraday Future, has said it also plans to build its electric vehicles in the United States.

Unlike those companies, Atieva was started in California. Former executives from Tesla and Oracle launched it in late 2007, and hired several former Tesla hands including Atieva Chief Technology Officer Peter Rawlinson.

„Secret sauce“

With its first car still at least two years away from production, Atieva is using a Mercedes-Benz Vito commercial van to test the drivetrain: a pair of high-output electric motors, a lithium-ion battery pack, inverters and controllers.

Rawlinson, who while at Tesla led engineering of the Model S sedan, said Atieva’s software is the „secret sauce“ tying all that hardware together to deliver a combined 900 horsepower to the 5,000-pound four-wheel-drive van he has named „Edna.“

The drivetrain propels the van from zero to 60 mph in just 3.1 seconds, a fraction slower than the fastest Tesla Model S. Atieva’s 0-60 acceleration target for its 2018 sedan is 2.7 seconds, faster than a 12-cylinder Ferrari supercar.

The Atieva sedan, being developed under the code name Project Cosmos, looks like a futuristic descendent of the Audi A7. Its headlamps are ultra-thin, with thousands of insect-inspired micro lenses. Its dashboard has a three-piece reconfigurable digital display that can be controlled by voice or touch.

Atieva has raised several hundred million dollars from investors including Mitsui & Co Ltd , the Japanese trading giant, and Venrock, a Silicon Valley venture capital firm connected with the Rockefeller family that once funded Intel and Apple.

Crowded field

Elon Musk Elon Musk, Chairman of SolarCity and CEO of Tesla Motors, speaks at SolarCity’s Inside Energy Summit in Manhattan, New York October 2, 2015. REUTERS/Rashid Umar Abbasi

Atieva’s launch schedule would add its new sedan to a bumper crop of electric luxury vehicles vying for customers in a rarified market Tesla now has largely to itself.

This week, Daimler AG’s Mercedes luxury car brand said it would unveil in October a long-range electric car it intends to put on sale before 2020. German rivals Volkswagen AG and BMW AG have said they are also working on premium electric cars.

Tesla did not reply to a request for comment about these would-be rivals, but the company is not sitting still and waiting for them to pounce. Chief Executive Officer Elon Musk raised $1.46 billion with a share sale last month, and outlined plans to launch a high-volume Model 3 sedan in 2017.

Tesla’s lead in the electric luxury vehicle segment has bolstered the price of its shares, which remain more than double their level of three years ago despite a 9 percent decline for the year to date.

Manufacturing plans

As Atieva looks for where it will build its U.S. factory, manufacturing director Brian Barron says the company has narrowed its search to two sites and expects to choose later this year. Barron, who spent 20 years overseeing various BMW plants, said the factory will be designed to build 20,000 electric cars a year initially, ramping up in stages to 130,000 a year.

Two of Atieva’s biggest shareholders are Chinese: State-owned Beijing Auto and a subsidiary of publicly traded LeEco, an internet company that has also declared it intends to offer an electric car. LeEco is controlled by Chinese tech entrepreneur Jia Yueting.

Jia also controls Faraday Future, an electric vehicle startup whose U.S. headquarters is based near Los Angeles and which also shares space in LeEco’s San Jose technical center in Silicon Valley.

A fourth Chinese-backed startup, NextEV, has a new San Jose facility near LeEco. NextEV is backed by Valley venture capital firm Sequoia Capital, which funded Google in its infancy. NextEV was launched in 2014 by William Li, the founder of Chinese website Bitauto, and financed in part by Tencent, the Chinese internet services provider.

Atieva design vice president Derek Jenkins said the company will set itself apart from its Chinese rivals using its „California DNA“ and its „California mindset.“ He did not provide specifics, but Jenkins led the team that designed the latest Mazda MX-5 Miata roadster.

 

http://www.businessinsider.com/r-electric-car-startups-fueled-by-chinese-money-aim-to-catch-tesla-2016-6

How Driverless Cars will Change Car Ownership forever

Own, share or subscribe: Car ownership in the self-driving era

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Fast-forward 20 years. Driverless cars coast around every street in the country without a human driver behind the wheel. They’ve reached market saturation — the technology is as commonplace as cruise control is today.

The rise of self-driving cars leads to a host of questions, of course, but for the moment let’s focus on just one: Will you still be able own a car? Would you even want to? I mean, why buy when you can take an autonomous pod everywhere for far less?

Thing is, the answer to that question isn’t a simple yes or no. But finding the answer is rooted in trends happening right now.

Companies like Lyft have partnered with General Motors to incentivize people out of car ownership with sweetheart rental deals, which may actually work. On the flip side, high-end carmakers — at least the ones I’ve spoken to — don’t see car sharing as a part of their future business.

When looking at the picture of car ownership in the driverless era, several scenarios become apparent.They range from outright ownership to pay-per-ride transportation (AKA „mobility as a service“) with a few options in between. With that in mind, let’s start at the top and work our way down.

1. Full ownership

Today, aside from a few current car-sharing programs, the vast majority of cars are used only by their owners, and not shared, at least not in a structured way. Even after the widespread implementation of driverless tech, the direct-sales business for top-end brands like Bentley, Lamborghini and Aston Martin won’t change. Right now, the average car sits unused 94% of its life. Likely, a Bentley sits idle even more than that — probably nearing the 99% mark, as the average Bentley buyer owns around nine other vehicles in addition.


Holographic butler Bentley concept.

Image: Bentley

To the luxury car buyer, there’s nothing more luxurious than owning a $400,000 car that you virtually never use — whether it drives itself or not. Moreover, there’s nothing luxurious about sharing a car. Even with the introduction of autonomous driving (something Bentley has said it is working on), the ownership model will likely never change.

But it will shrink. Ownership in all other parts of the market will likely drop considerably, as the following models expand and take hold.

2. Fractional ownership

At the launch of the CT6 sedan, I chatted with Cadillac President Johan de Nysschen about the how the brand will tackle car sharing and autonomy.

Speaking broadly, de Nysschen imagined a world in which luxury brands like Cadillac would offer not just a traditional sales model but rather a brand-wide subscription model. He likened this to a model already offered in the private jet market called fractional ownership.


Cadillac CT6

Image: Nick Jaynes/Mashable

In the world of jets, fractional ownership means you buy equity in an aircraft brand rather than buy a single jet. Of course, the price you pay depends on how much you intend to use the jet. However, the benefits of fractional ownership over outright ownership are many. For example, maintenance, fueling, hangar costs and other private jet ownership headaches are handled by the brand, rather than the customer.

De Nysschen hypothesized that Cadillac could implement a similar system. For a nominal monthly fee, every morning an autonomous Escalade could arrive at your home and drive you to work. If you were feeling sporty on a Saturday morning and wanted to do some track driving, however, you could — with a touch of a Cadillac app — order up an ATS-V to take you to a nearby racing circuit.

Of course, just like with fractional jet ownership, fractional car fee scales would increase with the amount you intend to use the brand vehicles.

This way, you’re not just investing in a single vehicle but rather a brand as whole. Along with not needing to insure, park or maintain the car, you also wouldn’t have to worry about fueling it — a benefit de Nysschen hypothesized Cadillac would put into effect for customers even before autonomy becomes prevalent.

The model has some clear benefits. Not only does it give the fractional owner flexible access to a fleet of vehicles, but it still allows the customer to invest in and identify with a single brand. In other words, you’ll still be able to one-up your neighbor.

High-income neighborhoods of the future, just like today, will be still lined with Mercedes-Benzes, BMWs and Cadillacs. Instead of being rooted in single vehicles at individual residences, however, the latest and greatest company offerings will simply roll into your driveway on a daily basis.

3. Own + share

The next level isn’t so much as a step down from fractional ownership as a step sideways. That’s because I see it also suiting luxury buyers, but those who are a bit more tied to the traditional car ownership concept. I call it the „own + share“ level.

For this example, let’s use Volvo as the brand and the XC90 as the vehicle, since it will likely be one of the first fully autonomous cars sold to customers. When it goes on sale, you’ll likely still be able to go into a dealership and get a lease on a $55,000 Volvo XC90 full-size SUV and drive it away (or rather, have it drive you away).


Self-parking Volvo XC90

Image: Volvo Cars

However, instead of letting the car sit idle in your driveway at night or your parking structure at work, you’ll be able to opt into a Volvo car-sharing program. Or, the program might not be manufacturer-affiliated — ride-sharing companies like Uber and Lyft may end up handling programs like these.

Think of it in the same way as leasing a condo in Aspen that you don’t use much of the time. You still own the car, but when you’re not using it, it’s autonomously driving and chauffeuring people around. Intriguingly, this model is already being implemented — sans autonomy, of course.

BMW is running one in Seattle right now called ReachNow that offers chauffeur-driven services, valet vehicle delivery service, short- and long-term rentals as well as peer-to-peer car sharing. Now, imagine the cars could drive themselves, removing human drivers from the equation altogether.

This would be a happy medium between brand fractional ownership and full-blown car sharing. People who feel — for whatever reason — tied to owning a car still can. However, when they’re not using it, the car is out there making (or saving, depending how you look at it) money that can counterbalance the costs of ownership like fuel, insurance and maintenance.


Autonomous Volvo XC90

Image: Volvo Cars

4. Mobility services

We’re finally down to the market where the majority of city-dwelling Americans will likely find themselves: mobility as a service. This includes the newly founded Maven from General Motors and Ford’s FordPass app.

While both offer different services, both aim for the same goal: to monetize getting people from A to B without having to sell them a 3,000-pound lump of steel.

That means —  for a monthly fee — a mobility service app will get you where you need to go, whether that’s utilizing a shared car, hopping in a Lyft (a part of GM’s Maven), or riding an electrified Ford-branded bicycle to the train station (a pilot mobility solution tested by Ford).


Unlike fractional ownership or own + share, these services will be less about investing in a car, brand or quietly competing in an automotive cold war of one-upmanship with your neighbor. Instead, they’ll be about getting you places as efficiently and cheaply as possible, but still a step or two above public transportation.

Unlike the brand-driven fractional ownership, since Maven won’t be sexier in any way than FordPass (I assume), these services will be made and broken not by branding but by customer experience. They’ll also be driven by price. Think about it the way some people choose Amazon Prime over Hulu.

5. Pay per ride

We now come to the bottom rung of future mobility: pay-per-ride companies like Uber or Lyft. However, if you consider them in another light, these companies could be at the top of the pyramid, too, because — based upon current company models — they’re a great equalizer. Everybody uses them.

Regardless, these companies will likely operate similar to self-driving cars as they do with human-driven vehicles. The biggest difference being that Uber and Lyft will own the cars, rather than utilizing privately owned vehicles. Heck, Uber is rumored to have ordered $9.6 billion worth of Mercedes S-Class sedans.

However, as I suggested above with own + share, pay-per-ride companies could employ privately owned driverless cars, but I suspect the best business plan will be for the companies to own their own vehicles.

Whether Uber and Lyft own the cars or draw on private self-driving fleets, you’ll still be able to call up a car to your location and for a fee get to where you want to go.


General Motors and Lyft Inc. announced a long-term strategic alliance to create an integrated network of on-demand autonomous vehicles in the U.S.

Image: General Motors

Intriguingly, Lyft CEO Logan Green told me he imagines diversifying the ride experience in the future — beyond simply phasing in autonomous cars. Green envisions themed Lyft ride options. For example, Bostonians on the way to a Celtics game could opt for a Celtic-themed Lyft Line. Along those lines (pun intended), people could also choose a singles-themed ride coordinated with Match.com, for example.

Though Uber and Lyft might one day offer subscription services in addition to the pay-per-ride model, I suspect paying as you go will dominate, which could be the cheapest option for those who don’t need a regular mobility plan.

No longer the headline

Although I laid these examples from a most- to least-expensive structure, at least for the foreseeable future, these options will be available at all pricing levels.

By that I mean Chevrolet will likely continue to offer competitively priced (albeit autonomous) Silverado pickups to customers in rural Oklahoma, for example. That’s because a car-sharing or a mobility plan like Maven simply isn’t feasible when your nearest neighbor is 20 miles down the road.

Additionally, Bentley might well offer a fractional ownership plan in addition to its traditional bespoke sales model. Elite customers could desire a ground mobility plan similar to their private air travel experience.

Broadly, this all demonstrates that, although the mechanics of self-driving cars dominate headlines today, it’s the world after autonomy becomes commonplace — when driverless tech isn’t the headline anymore —- that will prove truly intriguing.

In this era, many more of us will be able to cast aside the idea of investing in a car for the next 11 years. Rather, we can just think about where we want to go and what we want to do we get there.

http://mashable.com/2016/05/30/car-ownership-autonomy-column

Facebook is starting to analyse users‘ posts and messages with sophisticated new artificial intelligence (AI) software

Facebook is starting to analyse users‘ posts and messages with sophisticated new artificial intelligence (AI) software — and that could have worrying implications for Google.

On Wednesday, the social networking giant announced DeepText — „a deep learning-based text understanding engine that can understand with near-human accuracy the textual content of several thousands posts per second, spanning more than 20 languages.“

DeepText is powered by an AI technique called deep learning. Basically, the more input you give it, the better and better it becomes at what it is trained to do — which in this case is parsing human text-based communication.

The aim? Facebook wants its AI to be able to „understand“ your posts and messages to help enrich experiences on the social network. This is everything from recognising from a message that you need to call a cab (rather than just discussing your previous cab ride) and giving you the option to do so, or helping sort comments on popular pages for relevancy. (Both are examples Facebook’s research team provides.)

The blog post doesn’t directly discuss it, but another obvious application for this kind of sophisticated tech is Google’s home turf — search. And engineering director Hussein Mehanna told Quartz that this is definitely an area that Facebook is exploring: „We want Deep Text to be used in categorizing content within Facebook to facilitate searching for it and also surfacing the right content to users.“

Search is notoriously difficult to get right, and is a problem Google has thrown billions at (and made billions off) trying to solve. Is someone searching „trump“ looking for the Presidential candidate or playing cards? Does a search for the word „gift“ want for ideas for gifts, or more information about the history of gifts — or even the German meaning of the word, poison? And how do you handle natural-language queries that may not contain any of the key words the searcher is looking for — for example, „what is this weird thing growing on me?“

By analysing untold trillions of private and public posts and messages, Facebook is going to have an unprecedented window into real-time written communication and all the contexts around it.

Google has nothing directly comparable (on the same scale) it can draw upon as a resource as to train AI. It can crawl the web, but static web pages don’t have that real-time dynamism that reflect how people really speak — and search — in private conversations. The search giant has repeatedly missed the boat on social, and is now trying to get onboard — very late in the game — with its new messaging app Allo. It will mine conversations for its AI tech and use it to provide contextual info to users — but it hasn’t even launched yet.

Facebook has long been working to improve its search capabilities, with tools like Graph Search that let the user enter natural language queries to find people and information more organically: „My friends who went to Stanford University and like rugby and Tame Impala,“ for example. And in October 2015, it announced it had indexed all 2 trillion-plus of its posts, making them accessible via search.

Using AI will help the Menlo Park company not just to index but to understand the largest private database of human interactions ever created — super-charging these efforts.

www.businessinsider.de/facebook-new-ai-deeptext-threatens-google-search-2016-6

lower-cost gadgetry that lasts a lot longer could be a dire omen for high-margin hardware companies like Apple

This week, Intel CEO Brian Krzanich announced that people are keeping their PCs a lot longer before upgrading: The average has increased from four years to as many as six.

The tablet-refresh cycle isn’t much shorter than that, to Apple’s eternal chagrin. Even iPhone sales have started to taper off, partly because people are keeping their phones longer or choosing cheaper Android phones.

What’s happening is pretty simple. The hardware and the software running on any device itself have become way less interesting than the web apps and services, like the ones that Google and Amazon have made the core of their business.

Why buy a $700 iPhone when a $200 Android phone can access the same YouTube or Amazon Music as everyone else? All you need to do to get new Facebook features is refresh your browser or update your app. You don’t need a high-performance device to participate in the 21st century.

It’s a stark contrast with the traditional model for consumer electronics, where you’re expected to upgrade the hardware to keep pace with the new features they release.

And it could be a dire omen for high-margin hardware companies like Apple.

Meanwhile, web-first companies like Amazon and Google are more than happy to exploit this, even as our notions of what a computer actually is continue to shift. Just look at devices like Google Chromecast and the Amazon Echo.

Chromecast, Echo, case in point

Since 2013, Google has sold 25 million Chromecast devices — the completely amazing $35 dongles that turn any TV into a smart TV. That’s right, $35.

The real brilliance of the Chromecast lies in what it isn’t, rather than what it is. It doesn’t have an interface of its own. You just push a button on your phone and have whatever YouTube video you’re watching or Spotify album you’re listening to appear on your TV screen.

A nice side effect: It’s relatively simple to take an existing smartphone app and add Chromecast streaming capabilities, and literally tens of thousands of apps have done that integration.

You don’t have to think about it or learn a new interface; you just click and go.Mike George Amazon VP of EchoGettyAmazon VP of Echo Mike George.

It means that every single day, I get more return on the initial $35 investment in the Chromecast I bought in 2014. But since all of the good stuff is happening in the apps, not the Chromecast itself, it’s extremely unlikely that I will ever have to replace this Chromecast, barring a hardware malfunction.

You could probably say the same thing about the Amazon Echo home voice assistant. Developers have released almost 1,000 „skills“ for the Amazon Echo’s Alexa platform, including the ability to call an Uber, play Spotify music, or order a Domino’s pizza.

These gadgets are getting better, not worse, the longer they stay on shelves. And while there may be periodic minor hardware improvements, they’re way more minor than the gap between an iPhone 5 and an iPhone 6, and far less necessary to keep getting maximum value from the device.

The pressure is on

This move is going to keep putting pressure on hardware-first manufacturers — especially those who rely on high margins, like Apple.

The Chromecast and the Echo are relatively cheap gadgets — because all the important, useful stuff about them lives in the cloud, they’re optimized to be small, efficient, and unobtrusive.

Tesla autopilotTeslaTesla’s autopilot mode scanning the road.

Amazon doesn’t need to make money on the Echo itself, as long as it drives more commerce to its retail business. Same with Google: as long as the Chromecast gets more people to watch YouTube videos and download more stuff from Google Play, they don’t have to make money from the gadget itself.

And you’re seeing more of this all over, like when Tesla made thousands of its electric cars partially self-driving with an overnight software update. The gadget Tesla drivers already owned — in this case a car — suddenly got way more useful.

This trend isn’t going to kill off the smartphone, or the PC, or the tablet. But it means lower-cost gadgetry that lasts a lot longer. We’re only seeing the early stages of this shift now, but it has a lot of potential to shake up how we think about and how we buy our devices.

www.businessinsider.de/apple-iphone-vs-web-services-2016-6

Ask Yourself These Questions Weekly

The art of asking questions is the source of all business success.

Whether you’re running a business, an aspiring entrepreneur, or somebody with big dreams, achieving requires that you have goals, plans, and a way to hold yourself accountable. If you really want to stay on track, a weekly check-in can be a valuable tool.

Spend some time every week with these important questions and keep your momentum going!

1. What did I learn from last week? If you’re determined to learn, no one can stop you. If you’re unwilling to learn, no one can help you.

2. What was my greatest accomplishment last week? Every accomplishment gives you a win, lending you confidence and motivation.

3. What have I struggled with in the past that might affect the upcoming week? Today’s struggle is developing the strength you need for next week.

4. What’s the first thing I want to accomplish this week? If you know your number one goal, you can spend your time concentrating on your priority.

5. What can I do right now to make this week go well? Good planning makes your odds of success much higher.

6. What can I do right now to make the week less stressful? If you know what stresses you out and you see what’s on the horizon, you can brace yourself for pressure.

7. What was the last week’s biggest waste of time? Identify the useless things that take up your time so you can avoid them.

8. How will I make sure that what I want to achieve gets done? What can you do this week to make sure you’re moving toward your goals? Make a plan for the groundwork to be in place.

9. Why is this something I want to achieve? Staying in touch with your why leads you naturally to your how and what.

10. Have I been sabotaging myself? Keep a careful watch out for your inner saboteur. Don’t let it set you back or slow you down.

11. What have I been putting off? Everyone procrastinates–but what do you really need to get started on?

12. What opportunities are still on the table? Try not to let an important opportunity get past you.

13. What do I want to change? Stay committed to your goals but flexible in your approach.

14. What steps are complete? Arriving at one goal is the starting point to another.

15. Is there anything more I need to be doing? Anything you haven’t already tried is fair game. You never know!

16. What do I think is stopping me? Forget all the reasons it won’t work and believe the one reason it will.

17. What roadblocks do I expect? Plan your detours in advance and a roadblock is no big deal.

18. What obstacles are getting in the way of my success? Remember, obstacles are the things you see when you take your eyes off your goal.

19. What should I be doing differently? Don’t be afraid of looking for a better way. Be afraid of not exploring anything new.

20. How am I making an impact? Are you doing what you were born to do?

21. What am I most grateful for? Even in the darkest hour, here is always something to be thankful for.

22. Is there anyone I need to thank? Who do you need to appreciate and acknowledge?

23. How will I know I’ve achieved success? Success is not the key to happiness; happiness is the key to success. If you love what you’re doing you will be happy AND successful.

24. What am I looking forward to? The answer to this question will get you motivated for next week and help you stay energized.

Spend some time with yourself every week taking stock, and you’ll never feel out of touch with where you are, where you want to be, and what you need to be doing.

www.inc.com/lolly-daskal/want-to-be-a-great-leader-ask-yourself-these-24-questions-every-week.html

How will open source AI change the tech industry?

After years in the labs, artificial intelligence (AI) is being unleashed at last. Google, Microsoft and Facebook have all made their own AI APIs open source in recent months, while IBM has opened Watson (pictured above) for business and Amazon has purchased AI startup Orbeus. These announcements have not drawn much media attention, but are hugely significant.

„In the long run, I think we will evolve in computing from a mobile-first world to an AI-first world,“ says Google CEO Sundar Pichai. What does the appearance of AI bots and machine learning on the open market mean for business, IT, big data, and for sellers of physical hardware?

What’s happening to the major AI platforms?

The AI APIs now opening up are essentially free platforms on which companies can build incredibly powerful analytics tools. „These hugely powerful tools, used, developed and backed by the world’s most advanced technology companies, are now available to anyone with the skills to use them,“ says Matt Jones, Senior Analytics Project Manager at analytics and data science company Tessella.

He continues: „Using these toolkits, individually or combined, anyone can integrate transformational AI or machine learning platforms – which are as sophisticated as anything currently on the market – to their business on a pay as you go, or free basis.“ The tech industry – and digital business in general – is on the cusp of something very big.

Google, Microsoft and Facebook

It may have announced plans for its Google Home speaker-assistant to rival Amazon’s Echo in ’smart‘ homes, but the search engine giant has much bigger plans for AI. Part of Google since January 2014, DeepMind’s AlphaGo neural network beat mankind at the ancient Chinese game of Go recently. DeepMind is the main attraction on TensorFlow a deep learning framework that Google made open source in 2015.

Meanwhile, Facebook is focused on developing its M bot platform that should see its Messenger app flooded with third-party apps that let companies and their customers execute tasks on the platform, such as paying bills, making bank transfers, and even ordering an Uber ride. The Facebook M virtual assistant will follow.

And over at Redmond, Microsoft Cognitive Services and the Microsoft Bot Framework is aimed at getting developers to create AI-powered apps and bots that work on everything from Skype and Office 365 to Slack and SMS.

Watson on the cloud

The existence and planned expansion of IBM’s cloud-based cognitive computing platform is well known, and Big Blue offers its Watson API on a ‚freemium‘ basis.

Around 80,000 developers have accessed the Watson collection of APIs since 2013 through a dedicated cloud platform that IBM is calling ’self-service artificial intelligence‘. It’s designed to help coders, data scientists and analysts create apps that tap into the power of the Watson supercomputer for prediction, natural language processing, and much more. Machine learning and text analytics will also soon be on the menu from IBM’s Watson Knowledge Studio.

Image recognition

While some invest in AI, others are making acquisitions to catch up. While IBM’s Watson has a new Visual Recognition API and Google’s image recognition is well known, Apple recently purchased ‚emotion measurement‘ (i.e. face recognition) company Emotient. Meanwhile, Amazon bought a deep learning neural networks startup called Orbeus, whose ReKognition API specialises in photo recognition, too.

Open season for developers

With the arrival on the cloud of high-power cognitive platforms, it’s open season for app developers, who are expected to use the fruits of AI to unleash better and better apps.

„IBM Watson, Google DeepMind and the like are incredibly high-power cognitive platforms that are enabling developers to do really interesting projects,“ says Frank Palermo, Executive Vice President of Global Digital Solutions at global IT services company VirtusaPolaris. „It’s great they are now making these cognitive platforms readily accessible – particularly for researchers and others scientific pursuits, but also for knowledge workers across all industries.“

For instance, the boom in online education could create AI-powered teachers, which could help improve retention rates.

What is the OpenAI project?

Elon Musk is getting involved in AI, too, by supporting OpenAI, a non-profit research company focused on advancing digital intelligence for the common good. „Elon Musk has launched the OpenAI project with a star-studded list of backers – Palantir CEO Peter Thiel, LinkedIn founder Reid Hoffman and Y Combinator president Sam Altman,“ says an impressed Jones.

OpenAI is headed up by machine learning expert Ilya Sutskever, ex-Google Brain Team member, and has just opened the OpenAI Gym in beta to help developers working with ‚reinforced learning‘, a type of machine learning that’s central to AI. Essentially, it’s about getting software to alter its behaviour in a dynamic environment in order to get a reward (you can’t give Siri a biscuit every time she ‚found this on the web‘).

What does this mean for the IT industry?

The arrival of AI means a changing of the guard in the tech industry, with disruption, innovation – and the complete domination of the cloud. Standalone data analytics platforms? No need. Expensive infrastructure? Ditto. Expertise, not investment, will become king. That, and superfast broadband.

„It will ultimately help to drive innovation and growth, and we could see new business models emerge,“ says Palermo, who thinks that Amazon’s entry into the AI market is especially interesting given the unbridled success of Amazon’s AWS.

„As with cloud before it, Amazon may start renting time on Orbeus by the hour so that knowledge workers can work on a specific project,“ he adds. „This will help to normalise the use of AI and cognitive capabilities and greatly enhance our ability to process information.“ However, reshaping computing does mean some pain-points.

The death of the black box

You need computing power and analytics? AI APIs have the answer. „Any task currently performed by a costly black box AI platform, such as identifying where to drill for oil, predicting disease outbreaks, optimising scientific experiments to develop new products, and predictive maintenance, can now be done in-house,“ says Jones. Crucially, a business using these AI APIs will maintain complete control and oversight of its data.

How disruptive could AI APIs be?

Very. The kind of expertise most companies – especially startups – only dreamed of will be available instantly, online, 24/7. Accessing the world’s most advanced computers via these open platforms will cost only the price of a data scientist’s salary or consultancy fee. „This is very important for a lot of the world’s businesses, and they need to take it seriously,“ says Jones. „If its true potential is realised, it will unleash a new generation of innovative startups that apply the latest AI techniques to disrupt the establishment.“

The intelligent future

For industries already migrating to the cloud at an alarming rate, AI raises the stakes even further. We already inhabit a world where the cloud’s scalable storage has enabled startups like Twitter, Spotify, Netflix and WhatsApp to challenge entrenched big players. By making the very latest AI open source and available to all online, the likes of Google, Facebook, Amazon and IBM could help create a new wave of businesses that harness data. That puts data analytics platforms, pricey IT infrastructure and storage devices on borrowed time.

http://www.techradar.com/news/world-of-tech/how-will-open-source-ai-change-the-tech-industry–1322242/1

China is close to having its own Silicon Valley

The headline data out of China hasn’t exactly been comforting of late. The country is grappling with the challenges of slowing GDP growth, rising debt levels, and volatile stock markets, to name just a few. But if the macroeconomic statistics seem bleak, the picture is brighter among the country’s entrepreneurial class. The quality of Chinese innovation is increasing, the funding environment is improving, particularly for early-stage companies, and the Chinese government is doing everything it can to make China Inc. a force to be reckoned with.

It should come as no surprise that a large portion of recent Chinese startups is aimed squarely at the country’s rapidly expanding middle class. The number of middle-class adults in China has grown by more than half since 2000, to a total of 109 million, more than the 105 million in all of North America, according to Credit Suisse’s 2015 Global Wealth Report. And their spending power has increased even more: Middle-class wealth jumped more than seven-fold during that time, from $1.7 billion to $7.3 billion. What Chinese people eat, drink, and wear, where they travel, and what they do for entertainment “will be the driving force of consumption in the next decade,” Michelle Leung, founder and CEO of Xingtai Capital Management, said at Credit Suisse’s 2016 Asian Investment Conference (AIC) in April.

Internet giants Baidu, Alibaba, and Tencent were at the head of the first generation of Chinese startups to successfully target the country’s burgeoning middle class. All three continue to build their businesses by rolling out new e-commerce, social media, and mobile payment products and services to middle-class consumers. While their size and momentum make them formidable adversaries to any startup seeking to compete with them, their collective success has also made it easier for startups when it comes to one key variable: capital. Whereas the Internet pioneers had to go overseas to scrounge up funding, today’s Chinese entrepreneurs are awash in both foreign and domestic capital. That kind of change brings its own challenges, including rising concern about high valuations and liquidity risk, but those are high-class problems when compared to no capital whatsoever.

Signage for Alibaba Group Holding Ltd. covers the front facade of the New York Stock Exchange November 11, 2015. REUTERS/Brendan McDermidThomson ReutersSignage for Alibaba Group Holding Ltd. covers the front facade of the New York Stock Exchange

Early-stage funding has never been anywhere near as plentiful in China as it has been in the U.S. or Europe. A decade ago, it was positively scarce. Ramakrishna Velamuri, professor of entrepreneurship at the China Europe International Business School in Shanghai, says that when he first came to China in 2007, many so-called venture capital firms acted more like private equity firms, buying out companies instead of taking minority stakes. But that’s changing. While there is still more capital seeking to fund later-stage companies, a slew of domestic and foreign investors at the seed and angel stages has begun to emerge. “It’s been like a gold rush,” says Velamuri. “Lots of people who made money in real estate investments or in businesses have decided to become investors.”

Wu Yibing, head of the Singaporean sovereign wealth fund Temasek’s China business, says the fund believes strongly in Chinese innovation and has begun investing more aggressively in the country’s startups as a result. “Increasingly, to capture the China innovation theme, we are moving to earlier stages,” he says. By investing earlier on, he said, “you will be there with them when they become Didi Chuxing (a ride-sharing service) or Alibaba – and when that happens, they’ll be very expensive.”

The Chinese government has played an important role in the changes in the funding environment. Some 780 state-backed venture capital funds raised $231 billion in 2015, tripling the amount of assets under management in just a single year, to a total of $338 billion. While that money is also available for later-stage financings, such as a $4.5 billion fundraising round for Ant Financial, Alibaba’s financial services spinoff, the funds are squarely aimed at shoring up seed-stage and angel investing in China. And there’s even help before the money comes: Since it began its campaign to support entrepreneurship in 2014, the government has also opened 1,600 high-tech incubators for startups.

The flood of investor interest in Chinese startups has pushed up valuations to a degree that has begun to concern some investors, however. At the Credit Suisse 2016 Asian Investment Conference (AIC) in April, Wu compared China’s frothiness to that of Silicon Valley. At the same time, he noted a concurrent consolidation trend that has helped justify at least some of those valuations. The 2015 merger of ride-sharing apps Didi Dache and Kuaidi Dache into Didi Chuxing, for example, positioned the company to receive a $1 billion investment from Apple in May.

Didi taxi driverReuters/Jason Lee

If the funding environment has improved dramatically, the same cannot yet be said for its flipside: liquidity. Stock markets have been volatile over the last 12 months, and the Chinese government has repeatedly banned IPOs for extended periods. December 2013 marked the end of a 15-month freeze, while 2015 saw a five-month shutdown between July and early November. Zhang Yichen, Chairman and CEO of China-focused private equity fund CITIC Capital Holdings, said at the AIC that his company focuses on buyouts primarily to control the exit strategy. When firms the company invests in do go public, Zhang said, CITIC typically tries to sell enough stock to pre-IPO funds before the offering to make back their money – just in case. Velamuri also points out that liquidity has been helped by China’s hot M&A market. In 2015, the Internet conglomerates Baidu, Alibaba, and Tencent invested $29 billion between them to acquire or take minority stakes in 134 firms.

For public-market equities investors seeking a piece of the startup action in China, the primary and secondary markets each present their own challenges. In the primary market, the number of promising startups is growing, but it’s still exceedingly difficult to pick winners and losers in a market as brutally competitive as China’s. And in the secondary market, it’s the usual story—too much money chasing too few success stories. Vincent Chan, Credit Suisse’s Head of China Research, notes that traditional industries such as banks and commodities companies still dominate Chinese public markets, while newer, high-growth sectors such as technology, communications, and media are tiny by comparison. “You end up with people paying a very high multiple for companies with a relatively small earnings base,” he says.

When the amount of capital available to fund promising startups shifts from not enough to more than enough, the challenges shift too. Today, liquidity and valuation risks are increasing for entrepreneurs and investors alike in China. But that’s also better than the alternative, which is no money available at all. For the time being, money is flowing, the Chinese government has committed to innovation as a national policy, M&A provides a viable exit route, and Chinese consumers are eager for the next, new thing. Whether this will prove another golden era for entrepreneurialism in China, only time will tell, but in the meantime, China’s startups are too busy figuring out new ways to cater to a fast-growing consumer base to worry about it. To find out more about China’s increasingly innovative startups, read our companion story here.

www.businessinsider.de/china-almost-has-its-own-silicon-valley-2016-6