9-11-2017, Automotive News, DETROIT -- Self-driving vehicles will generate unfathomable amounts of data, and companies will need to work together if they want to take advantage of new and larger sources of information, an Intel executive says.

Kathy Winter, Intel's vice president of automated driving solutions, said production-level autonomous vehicles will create massive amounts of data from onboard sensors and connected services. It will be up to manufacturers to determine which data are useful and how to share access.

Intel estimates that self-driving vehicles will generate about 4,000 gigabytes of data daily, compared with the 0.65 gigabytes the average person creates a day with connected personal devices such as smartphones and computers. Vehicle-generated data include technical information about the vehicle, crowd-sourced data from fleets -- such as sensor inputs used for traffic updates -- and personal preferences of passengers.

Read the rest of the story HERE.

From Google Cars to Apple and McLaren to Daimler Benz and in-car voice activated Microsoft office to specially designed safety chips – the journey is only starting

2/24/2016 

Technology-driven trends will revolutionize how industry players respond to changing consumer behavior, develop partnerships, and drive transformational change.

McKinsey -- Today’s economies are dramatically changing, triggered by development in emerging markets, the accelerated rise of new technologies, sustainability policies, and changing consumer preferences around ownership. Digitization, increasing automation, and new business models have revolutionized other industries, and automotive will be no exception. These forces are giving rise to four disruptive technology-driven trends in the automotive sector: diverse mobility, autonomous driving, electrification, and connectivity.

Most industry players and experts agree that the four trends will reinforce and accelerate one another, and that the automotive industry is ripe for disruption. Given the widespread understanding that game-changing disruption is already on the horizon, there is still no integrated perspective on how the industry will look in 10 to 15 years as a result of these trends. To that end, our eight key perspectives on the “2030 automotive revolution” are aimed at providing scenarios concerning what kind of changes are coming and how they will affect traditional vehicle manufacturers and suppliers, potential new players, regulators, consumers, markets, and the automotive value chain.

This study aims to make the imminent changes more tangible. The forecasts should thus be interpreted as a projection of the most probable assumptions across all four trends, based on our current understanding. They are certainly not deterministic in nature but should help industry players better prepare for the uncertainty by discussing potential future states.

1. Driven by shared mobility, connectivity services, and feature upgrades, new business models could expand automotive revenue pools by about 30 percent, adding up to $1.5 trillion.

The automotive revenue pool will significantly increase and diversify toward on-demand mobility services and data-driven services. This could create up to $1.5 trillion—or 30 percent more—in additional revenue potential in 2030, compared with about $5.2 trillion from traditional car sales and aftermarket products/services, up by 50 percent from about $3.5 trillion in 2015.

Connectivity, and later autonomous technology, will increasingly allow the car to become a platform for drivers and passengers to use their time in transit to consume novel forms of media and services or dedicate the freed-up time to other personal activities. The increasing speed of innovation, especially in software-based systems, will require cars to be upgradable. As shared mobility solutions with shorter life cycles will become more common, consumers will be constantly aware of technological advances, which will further increase demand for upgradability in privately used cars as well.

Read the rest here: http://www.mckinsey.com/industries/high-tech/our-insights/disruptive-trends-that-will-transform-the-auto-industry

A new report shows that vehicle makers need to change the way they think about producing products to survive the coming transformation.

12-2-2016, ZD Net -- Deep learning -- an advanced type of artificial intelligence (AI) -- is driving significant change for autonomous vehicles and for the automotive and transportation industries in general, according to a new report from advisory firm KPMG.

The study predicts that by 2030 a new mobility services segment linked to products and services related to autonomy, mobility, and connectivity will be worth more than $1 trillion worldwide.

The report notes that the direct impacts of deep learning will "revolutionize the nature of doing business for automakers." Deep learning is an important enabler of building self-driving vehicles that can operate without human intervention. Underlying those efforts is the need for the vehicle to "see," "think," "drive," and "learn," and it's through this last learning step that deep learning will be critical to achieving fully autonomous cars.

"Deep learning is accelerating autonomy faster than anyone could've imagined, and it has far-reaching implications for the industry and societal mobility as a whole," said Gary Silberg, national automotive leader at KPMG. "If a car can't learn, then it's still reliant on millions and millions of lines of code, with such complexity and ambiguity that full autonomy wouldn't be achievable for many years to come."

We're at the start of what Silberg calls a new era in automotive product development and manufacturing -- one that emphasizes a vehicle's nervous system including a computer "brain," sensors, controls, driver interaction, and data storage even more than the powertrain. "This is an enormous shift in organizational structure, talent acquisition, and operating model for most car manufacturers," he said.

KPMG noted that this is a critical juncture in the history of the automotive industry, with OEMs and technology companies facing off in a battle for specialized talent. Professionals who have deep learning skills are in short supply, the report said, and the pool of experts among those specialists is even smaller.

This gap makes it difficult for traditional automakers to compete with technology leaders. Furthermore, universities are not keeping pace with the autonomous driving market demands for talent.

Read the rest of the story HERE.

2/2/2016, OTTAWA – The European Commission is incorporating the latest guidance from the European auto industry into its plan for rolling out connected cars across the European Union, drawing on advice from manufacturers favoring swift, coordinated deployment.

A key point in a report published in January by the EC, the EU’s executive branch, calls for installation of cooperative intelligent transport systems (C-ITS) allowing vehicles to communicate with other vehicles, other road users, traffic signals and roadside infrastructure.

“In 2016, the Commission plans to further work on the digitization of transport,” an EC spokesperson says. Using recommendations of the auto-industry groups contributing to the report, called a “platform for the deployment of cooperative intelligent-transport systems,” the EC will prepare a master plan for the deployment of C-ITS to be ready by midyear, the spokesperson tells WardsAuto.

Other EC initiatives will include promoting multimodal travel information and the interoperability of electronic tolling systems.

The work follows and will be informed by the January report that was drafted by representatives from, among others, the International Road Federation, PSA Peugeot Citroën, German Automobile Club, European Transport Safety Council, BMW Group and the ACEA, the European automakers’ organization.

Read the rest here: http://wardsauto.com/technology/industry-offers-eu-input-smart-transport-systems

Your car knows more about you than you think.

DETROIT (AP) -- Your car knows more about you than you think.

Newer cars that connect to the internet can collect vast amounts of data about drivers, such as where you went to dinner, if you broke the speed limit or if your seat belt was buckled.

When you buy a car, you cede data control to your car company. Most automakers say they won't sell information without an owner's consent. But they're not legally required to inform you if they do.

Car data is about to become big business. A new report from consulting firm McKinsey says automotive data could be worth $450 billion to $750 billion globally by 2030. Automakers, insurers, high-tech firms, city planners and advertisers are among those who could use data to refine services. Drivers could share data in exchange for navigation systems, or they could pay extra for perks like a parking spot finder.

Here's a primer on the emerging issue of connected-car data:

Q: Which cars collect data?

A: Just under 20 percent of new cars sold globally now can be linked to the internet, according to BI Intelligence. That figure is expected to reach 75 percent by 2020.

For example, General Motors Co. will have 12 million connected vehicles by the end of this year worldwide, which it says is the most for any automaker.

Q: Do I own data that's collected?