Apple lost the autonomous car battle before it began

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Autonomous cars learn to drive with driving data using machine learning. The machine learning component of autonomous vehicles require millions of miles of actual driving data. A robust and enabling EV supply chain that makes diverse components and manufacturing supply chains that serve the mobile and consumer business are still developing in the EV sector. Apple doesn't have the manufacturing expertise to build an EV without a mature supply chain like the mobile supply chain behind it.


Apple lost the autonomous car battle before it began

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Apple faces major obstacles to becoming a car company--or even a supplier of navigation and infotainment systems voluntarily integrated into vehicles by auto manufacturers. Hopelessly addicted to rich margin, premium iPhones, Apple doesn't have much to offer automakers, and what little it could offer will be rejected for good business reasons. Apple designs premium smartphones and consumer products, contracting their manufacture to a mature Chinese supply chain. Reports by Bloomberg and The New York Times about Apple's shift in its autonomous car program missed this most fundamental point. But the shift from building an autonomous electric vehicle (EV) to building the software that guides self-driving vehicles will not earn Apple a leading position in the autonomous vehicle business.


In The Future, All Products Will Automatically Improve As People Use Them

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This is the Tesla autopilot in action – and it's a great analogy for the future of digital business. As every Tesla car equipped with autopilot drives down the street, it's using sensors and the Internet of Things to gather vast amounts of Big Data. And then it uses analytics, machine learning, and artificial intelligence to turn that data into a superior driving experience. That's what digital business is all about – using the latest technologies to create better products and services. But Tesla is taking things to a whole new level.


The five upstarts that are leading the AI and machine learning revolution ZDNet

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In the past few years, the market for artificial intelligence (AI) and machine learning technologies has gained strong momentum. What's interesting, though, is that the much of the innovation in this space is driven by disruptors, not legacy vendors. These'upstarts' are companies born in the internet age or companies that have transitioned into the AI market, and are building out useful AI products that will likely broaden in their impact over time. Much like how Amazon Web Services (AWS) became the infrastructure provider of choice for many companies with the rise of the public cloud, many of these upstarts will see their products widen in application. While many of these companies might have originally created their product for a specific use case, it's possible that they will grow into platforms on which the company may build an additional revenue stream.


The five upstarts that are leading the AI and machine learning revolution ZDNet

#artificialintelligence

In the past few years, the market for artificial intelligence (AI) and machine learning technologies has gained strong momentum. What's interesting, though, is that the much of the innovation in this space is driven by disruptors, not legacy vendors. These'upstarts' are companies born in the internet age or companies that have transitioned into the AI market, and are building out useful AI products that will likely broaden in their impact over time. Much like how Amazon Web Services (AWS) became the infrastructure provider of choice for many companies with the rise of the public cloud, many of these upstarts will see their products widen in application. While many of these companies might have originally created their product for a specific use case, it's possible that they will grow into platforms on which the company may build an additional revenue stream.