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 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 new value chains. It is important to understand these value chains, and identify the new monetization opportunities they offer, particularly the opportunities to monetize the various forms of big data given its key role.
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: 1) societal and urban challenges are accelerating the adoption of on-demand personal mobility, and 2) technology advances, including big data and AI, are making next-generation vehicles, and specifically Autonomous Connected and Electrified (ACE) vehicles a reality. ACE vehicles and on-demand shared personal 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 this post, 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.