transport as a service

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pages: 244 words: 66,977

Subscribed: Why the Subscription Model Will Be Your Company's Future - and What to Do About It by Tien Tzuo, Gabe Weisert

3D printing, Airbnb, airport security, Amazon Web Services, augmented reality, autonomous vehicles, blockchain, Build a better mousetrap, business cycle, business intelligence, business process, call centre, cloud computing, cognitive dissonance, connected car, death of newspapers, digital twin, double entry bookkeeping, Elon Musk, factory automation, fiat currency, Internet of things, inventory management, iterative process, Jeff Bezos, Kevin Kelly, Lean Startup, Lyft, manufacturing employment, minimum viable product, natural language processing, Network effects, Nicholas Carr, nuclear winter, pets.com, profit maximization, race to the bottom, ride hailing / ride sharing, Sand Hill Road, shareholder value, Silicon Valley, skunkworks, smart meter, social graph, software as a service, spice trade, Steve Ballmer, Steve Jobs, subscription business, Tim Cook: Apple, transport as a service, Uber and Lyft, uber lyft, Y2K, Zipcar

The winners will be the services that don’t just manage routes, but solve for A to B. Helsinki is experimenting with a mobility planning app called Whim that generates instant itineraries that mix private and public transportation networks, and can even recommend healthier routes when the weather is nice. As The Economist notes, “Young urbanites, who have become accustomed to usership instead of ownership, find the notion of transport as a service both natural and appealing. Meanwhile the cost of running a car in a city goes ever upwards. Parking gets harder. Many city-dwellers are questioning whether the convenience is worth it. Between 1983 and 2014 the share of Americans aged 20–24 with a driving licence fell from 92% to 77%.” If there’s anything that these stories can tell us, it’s that transportation is rapidly evolving from a sequence of painful but necessary transactions toward an intuitive service that will eventually become seamlessly embedded in our daily lives.

_r=0. 250 million connected cars on the road by 2020 “Gartner Says by 2020, a Quarter Billion Connected Vehicles Will Enable New In-Vehicle Services and Automated Driving Capabilities,” January 26, 2015, www.gartner.com/newsroom/id/2970017. Without control over the platform, PC hardware Horace Dediu, “IBM and Apple: Catharsis,” July 15, 2014, www.asymco.com/2014/07/15/catharsis. the cars weren’t connected “Subscribed San Francisco 2017 Opening Keynote,” Zuora Subscribed conference presentation, June 5, 2017, www.youtube.com/watch?v=fdDA7sRgMSQ. Americans aged 20–24 with a driving licence “Transport as a Service: It Starts with a Single App,” The Economist, September 29, 2016, www.economist.com/news/international/21707952-combining-old-and-new-ways-getting-around-will-transform-transportand-cities-too-it. CHAPTER 5: COMPANIES FORMERLY KNOWN AS NEWSPAPERS evidence of diminishment Eric Alterman, “Out of Print,” The New Yorker, March 31, 2008, www.newyorker.com/magazine/2008/03/31/out-of-print.


pages: 302 words: 73,581

Platform Scale: How an Emerging Business Model Helps Startups Build Large Empires With Minimum Investment by Sangeet Paul Choudary

3D printing, Airbnb, Amazon Web Services, barriers to entry, bitcoin, blockchain, business process, Chuck Templeton: OpenTable:, Clayton Christensen, collaborative economy, commoditize, crowdsourcing, cryptocurrency, data acquisition, frictionless, game design, hive mind, Internet of things, invisible hand, Kickstarter, Lean Startup, Lyft, M-Pesa, Marc Andreessen, Mark Zuckerberg, means of production, multi-sided market, Network effects, new economy, Paul Graham, recommendation engine, ride hailing / ride sharing, shareholder value, sharing economy, Silicon Valley, Skype, Snapchat, social graph, social software, software as a service, software is eating the world, Spread Networks laid a new fibre optics cable between New York and Chicago, TaskRabbit, the payments system, too big to fail, transport as a service, two-sided market, Uber and Lyft, Uber for X, uber lyft, Wave and Pay

All three transfers occur through the platform. The call is enabled by Clarity, and the exact duration of the call is tracked. The subsequent billing for the call is charged on the basis of the exact call duration (See Figure 12). Uber’s business model requires three exchanges: 1.Transfer of information on cab availability from driver (producer) to traveler (consumer) in response to the transfer of a request; 2.Transfer of transportation-as-a-service from driver (producer) to traveler (consumer); 3.Transfer of money from traveler (consumer) to driver (producer). It is important to note that, even though the transfer of goods and services occurs outside the platform, the platform is best able to manage the transaction if it can track this transfer in some way. Uber is aware of the locations through which a ride moves, which in turn helps it bill on exact usage and determine completion of the ride.


pages: 286 words: 87,401

Blitzscaling: The Lightning-Fast Path to Building Massively Valuable Companies by Reid Hoffman, Chris Yeh

activist fund / activist shareholder / activist investor, Airbnb, Amazon Web Services, autonomous vehicles, bitcoin, blockchain, Bob Noyce, business intelligence, Chuck Templeton: OpenTable:, cloud computing, crowdsourcing, cryptocurrency, Daniel Kahneman / Amos Tversky, database schema, discounted cash flows, Elon Musk, Firefox, forensic accounting, George Gilder, global pandemic, Google Hangouts, Google X / Alphabet X, hydraulic fracturing, Hyperloop, inventory management, Isaac Newton, Jeff Bezos, Joi Ito, Khan Academy, late fees, Lean Startup, Lyft, M-Pesa, Marc Andreessen, margin call, Mark Zuckerberg, minimum viable product, move fast and break things, move fast and break things, Network effects, Oculus Rift, oil shale / tar sands, Paul Buchheit, Paul Graham, Peter Thiel, pre–internet, recommendation engine, ride hailing / ride sharing, Sam Altman, Sand Hill Road, Saturday Night Live, self-driving car, shareholder value, sharing economy, Silicon Valley, Silicon Valley startup, Skype, smart grid, social graph, software as a service, software is eating the world, speech recognition, stem cell, Steve Jobs, subscription business, Tesla Model S, thinkpad, transaction costs, transport as a service, Travis Kalanick, Uber for X, uber lyft, web application, winner-take-all economy, Y Combinator, yellow journalism

In 2014, Aswath Damodaran, a professor of finance at NYU’s Stern School of Business, estimated that Uber was probably worth roughly $6 billion, based on its ability to ultimately win 10 percent of the global taxi market of $100 billion, or $10 billion. According to Uber’s own projections, in 2016 the company processed over $26 billion in payments. It’s safe to say that the $10 billion market was a serious underestimate, as the ease of use and lower cost of Uber and its competitors expanded the market for transportation-as-a-service. As Aaron Levie, the founder of the online file storage company Box noted in a tweet in 2014, “Sizing the market for a disruptor based on an incumbent’s market is like sizing a car industry off how many horses there were in 1910.” The other factor that can lead to underestimating a market is neglecting to account for expanding into additional markets. Amazon began as Amazon Books, the “Earth’s Biggest Bookstore.”


pages: 371 words: 108,317

The Inevitable: Understanding the 12 Technological Forces That Will Shape Our Future by Kevin Kelly

A Declaration of the Independence of Cyberspace, AI winter, Airbnb, Albert Einstein, Amazon Web Services, augmented reality, bank run, barriers to entry, Baxter: Rethink Robotics, bitcoin, blockchain, book scanning, Brewster Kahle, Burning Man, cloud computing, commoditize, computer age, connected car, crowdsourcing, dark matter, dematerialisation, Downton Abbey, Edward Snowden, Elon Musk, Filter Bubble, Freestyle chess, game design, Google Glasses, hive mind, Howard Rheingold, index card, indoor plumbing, industrial robot, Internet Archive, Internet of things, invention of movable type, invisible hand, Jaron Lanier, Jeff Bezos, job automation, John Markoff, Kevin Kelly, Kickstarter, lifelogging, linked data, Lyft, M-Pesa, Marc Andreessen, Marshall McLuhan, means of production, megacity, Minecraft, Mitch Kapor, multi-sided market, natural language processing, Netflix Prize, Network effects, new economy, Nicholas Carr, old-boy network, peer-to-peer, peer-to-peer lending, personalized medicine, placebo effect, planetary scale, postindustrial economy, recommendation engine, RFID, ride hailing / ride sharing, Rodney Brooks, self-driving car, sharing economy, Silicon Valley, slashdot, Snapchat, social graph, social web, software is eating the world, speech recognition, Stephen Hawking, Steven Levy, Ted Nelson, the scientific method, transport as a service, two-sided market, Uber for X, uber lyft, Watson beat the top human players on Jeopardy!, Whole Earth Review, zero-sum game

The job for Uber for X is to coordinate this decentralized work and make it happen in real time. Even Amazon has gotten into the business of matching pros with joes who need home services (Amazon Home Services), from cleaning or setting up equipment to access to goat grazing for lawns. One reason so much money is flowing into the service frontier is that there are so many more ways to be a service than to be a product. The number of different ways to recast transportation as a service is almost unlimited. Uber is merely one variation. There are dozens more already established, and many more possible. The general approach for entrepreneurs is to unbundle the benefits of transportation (or any X) into separate constituent goods and then recombine them in new ways. Take transportation as an example. How do you get from point A to point B? Today you can do it in one of eight ways with a vehicle: 1.


pages: 416 words: 112,268

Human Compatible: Artificial Intelligence and the Problem of Control by Stuart Russell

3D printing, Ada Lovelace, AI winter, Alan Turing: On Computable Numbers, with an Application to the Entscheidungsproblem, Alfred Russel Wallace, Andrew Wiles, artificial general intelligence, Asilomar, Asilomar Conference on Recombinant DNA, augmented reality, autonomous vehicles, basic income, blockchain, brain emulation, Cass Sunstein, Claude Shannon: information theory, complexity theory, computer vision, connected car, crowdsourcing, Daniel Kahneman / Amos Tversky, delayed gratification, Elon Musk, en.wikipedia.org, Erik Brynjolfsson, Ernest Rutherford, Flash crash, full employment, future of work, Gerolamo Cardano, ImageNet competition, Intergovernmental Panel on Climate Change (IPCC), Internet of things, invention of the wheel, job automation, John Maynard Keynes: Economic Possibilities for our Grandchildren, John Maynard Keynes: technological unemployment, John Nash: game theory, John von Neumann, Kenneth Arrow, Kevin Kelly, Law of Accelerating Returns, Mark Zuckerberg, Nash equilibrium, Norbert Wiener, NP-complete, openstreetmap, P = NP, Pareto efficiency, Paul Samuelson, Pierre-Simon Laplace, positional goods, probability theory / Blaise Pascal / Pierre de Fermat, profit maximization, RAND corporation, random walk, Ray Kurzweil, recommendation engine, RFID, Richard Thaler, ride hailing / ride sharing, Robert Shiller, Robert Shiller, Rodney Brooks, Second Machine Age, self-driving car, Shoshana Zuboff, Silicon Valley, smart cities, smart contracts, social intelligence, speech recognition, Stephen Hawking, Steven Pinker, superintelligent machines, Thales of Miletus, The Future of Employment, Thomas Bayes, Thorstein Veblen, transport as a service, Turing machine, Turing test, universal basic income, uranium enrichment, Von Neumann architecture, Wall-E, Watson beat the top human players on Jeopardy!, web application, zero-sum game

Indeed, some iron-ore mining operations in northern Australia, where temperatures regularly exceed 45 degrees Celsius (113 degrees Fahrenheit), are almost completely automated already.58 These present-day applications of AI are special-purpose systems: self-driving cars and self-operating mines have required huge investments in research, mechanical design, software engineering, and testing to develop the necessary algorithms and to make sure that they work as intended. That’s just how things are done in all spheres of engineering. That’s how things used to be done in personal travel too: if you wanted to travel from Europe to Australia and back in the seventeenth century, it would have involved a huge project costing vast sums of money, requiring years of planning, and carrying a high risk of death. Now we are used to the idea of transportation as a service (TaaS): if you need to be in Melbourne early next week, it just requires a few taps on your phone and a relatively minuscule amount of money. General-purpose AI would be everything as a service (EaaS). There would be no need to employ armies of specialists in different disciplines, organized into hierarchies of contractors and subcontractors, in order to carry out a project. All embodiments of general-purpose AI would have access to all the knowledge and skills of the human race, and more besides.