(MOBI & Ocean Protocol) World’s Largest Automakers Form Blockchain Coalition- Data Sharing For Self-Driving Cars

All information below is as my reading/studying note, I am happy to see mobility data sharing is going on the privacy protection and revenue generation way.

MOBI Mobility Open Blockchain Initiative​
using blockchain and related technologies to make mobility safer, greener, cheaper and more accessible

BMW, Ford, GM: World’s Largest Automakers Form Blockchain Coalition
while the car is the next data battlefield that Apple, Google, and Amazon are fighting over tooth-and-nail, MOBI sees blockchains offering a powerful tool for decentralization. Moreover, that data, once it is shared, can conceivably deliver benefits to society, such as improving road safety and reducing congestion.

All told, the MOBI consortium is perhaps the auto industry’s first coordinated response to the realization that data produced around cars is a valuable resource and that blockchain could help the automotive industry itself keep control of and manage this data.

Another type of data that MOBI hopes to harness using distributed ledger tech is much more up for grabs.

That’s the data generated by the car itself via the multitude of sensors positioned within and around it. Connected cars today are producing about 25 gigabytes of data an hour and that figure is expected to increase by orders of magnitude in a future with vehicles (manual or autonomous) that have remote sensing methods like light detection and ranging (LIDAR).

MOBI’s partners announcing today include: Accenture, Aioi Nissay Dowa Insurance Services USA, BigChainDB, BMW, Dashride, Deon Digital AG, Dovu, Chronicled, ContextLabs, Crypto Valley Association, Foam, General Motors, Hyperledger, IBM, IOTA, MotionWerk, NuCypher, Oaken Innovation, Ocean Protocol, Renault, ShareRing, Shift, Spherical Analytics, Trusted Internet of Things Alliance, Vasily, Xain, and ZF Friedrichshafen AG.

GM Patent Touts Blockchain As Data Solution for Self-Driving Cars
Sharing data between different independent platforms is also proposed in the filing. A blockchain exchange for municipalities, local authorities and public facilities such as airports could, it says, determine the “validity of permits and licenses to operate as hacks, taxis, or other for-hire services.” Further, if a vehicle is ticketed, that information could be shared with a blockchain run by the relevant authority.

GM, BMW Back Blockchain Data Sharing For Self-Driving Cars

the next MOBI working group on so-called autonomous vehicle data markets (AVDM) will be chaired by General Motors (GM). The automaker has clearly been thinking about using blockchain to share data for some time, having filed a patent detailing such a system for fleets of self-driving cars at the end of last year.

Another MOBI member, Ocean Protocol, is focused on creating blockchain-based data markets and running a shared AI on them. Ocean co-founder Trent McConaghy is aiming to create a kind of enterprise data commons where everyone can benefit, yet at the same time, this data can be prevented from escaping beyond the firewalls of any one company.

McConaghy explained that Ocean takes “federated machine learning” (machine learning built without direct access to training data, where data remains in its original location, such as on a smartphone, for instance) and gives it an additional dose of decentralization.

Google and others have been “pushing pretty hard on centralized federated learning,” said McConaghy, where they control the whole process.

“The makes the holders of the data feel pretty uneasy. So if you can actually remove that creepiness and the process of learning if done from silo to silo to silo in a decentralized fashion, that is much better. Decentralized federated leaning is what Ocean unlocks,”

Ocean Protocol

Mission & Values for Ocean Protocol

Trent McConaghy - AI for the Commons | Odyssey Tech Deep Dive 2019

Ocean Protocol launches in beta to best Big Data
Ocean’s approach is based on what’s technically known as “federated learning.” Basically, it refers to machine learning occurring—but without direct access to the training data, which remains in its original location. It’s something Google et al, have been hard at work on. But unlike Google’s efforts, Ocean’s approach is decentralized, as opposed to controlled by one organization with all the power. Each organization retains control of its own data, which resides in several different locations, and results are shared via agreements governed by smart contracts and tokens.

I am really curious about how the ecosystem will grow, and let's guess will Tesla join MOBI as well?

Always keep the curiosity of exploring the world.
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