In my book and previous posts I build a broad case for the key role big data and AI play in next-generation mobility, and provide several examples from transportation and logistics. Next-generation mobility is about intelligent, connected vehicles that utilize some form of electrified propulsion, and on-demand shared transport services of people and goods that will be offered through such vehicles. Many of these vehicles will be capable of autonomous movement. Next-generation mobility will help us address some of our biggest challenges, such as pollution and climate change, urbanization and congestion, aging population, and traffic fatalities, while enabling us to maintain economic prosperity by operating highly optimized supply chains that span the globe. It will give rise to a new value chain where big data and AI will play a key role. It is therefore important to identify the new monetization opportunities enabled by big data and AI in the context of this value chain.
This post first appeared on 4/27/17 in O’Reilly’s site. It has been revised since it first appeared.
In my book The Big Data Opportunity in Our Driverless Future I make two arguments. First, societal and urban challenges are accelerating the adoption of on-demand personal mobility services. Second, technology advances, including big data and AI, are making next-generation vehicles, and specifically Autonomous Connected and Electrified (ACE) vehicles a reality. I define Next-Generation Mobility as the movement of people and goods using a combination of ACE vehicles, and of transport services such as ride-hailing, car sharing, ridesharing, and others that are offered on a short-time, on-demand or as-needed basis. Next-Generation Mobility will cause three major shifts that can lead to the disruption of the automotive and transportation industries: a consumer shift, an automotive industry shift, and a mobility services shift.
In a series of posts, starting with this one, I examine what is causing these shifts, one of the value chains that is emerging as a result of these shifts, big data’s and AI’s key roles in the value chain, and the models being created around this value chain.