The status quo is changing for most industries as boundaries blur between fields due to innovation, disruption, and digitally-driven change. That’s why keeping abreast of emerging trends in sectors outside your own is vital, not only because your organization’s competitive landscape may be changing, but because there are universal, strategic lessons to learn from the opportunities and threats convergence poses for every marketplace. We examine emerging trends and the impact of evolving tech in key fields such as healthcare, financial services, telco, energy, mobility, and more to help you capitalize on the possibilities of the future while managing the challenges of today.  

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It is becoming very clear that, with growing populations and urbanization around the world, both the automotive and mobility sectors must find new ways to prevent the collapse of traffic and transport ecosystems. Manufacturers and service providers should enter into new, cross-industry partnerships and be open to changes in business models
Olivier Pilot, Francois-Joseph Van Audenhove, and Mickael Tauvel have been studying the reasons traditional approaches to MaaS have failed, and they offer a model for a mature, value-creating MaaS initiative. It starts with digitally enabling organizational authorities to manage multi-modal mobility and connect users’ digital experience with physical access. As the authors suggest, account-based ticketing is key to this transition, decoupling a MaaS user account from the mobility-access device; simplifying account management; and allowing sophisticated, multi-modal back-end fare rules. They also argue for moving beyond the traditional plan-book/ticket-pay approach in favor of know-and-go.
Cutter Fellow Robert Charette takes an in-depth look at the electric vehicle (EV) market in the next decade. Currently, automakers are focused on dethroning Tesla, which disrupted the auto ecosystem with its skateboard battery and advanced autonomous driving capabilities. Where charging will take place and how the world can produce enough EV batteries are major considerations in this initial skirmish. But the real battle begins around 2025, when EV makers shift their focus to production efficiencies and lifecycle sustainability as they battle against ICE vehicles for market share. Around 2030, the winners will emerge into a world of new technological competitive threats.
Cutter Expert Curt Hall explains how machine vision systems using machine learning (ML) and other artificial intelligence techniques are gradually spreading from use in large auto manufacturers to being incorporated in aftermarket businesses. Increased accuracy of ML-based cameras, edge computing systems, machine vision startups targeting the market, and MaaS are all driving the expansion. One main area of use, Hall explains, is in camera-based robotic systems to automate basic maintenance operations like tire changing. Another area is automated vehicle inspection that can be used by repair shops, dealership service departments, online vehicle marketplaces and auction sites, and auto parts recyclers. Hall says the trend is just getting under way, so we’ll see a steady rise in the use of these systems in the near future.
Ralph Menzano takes us on a fascinating journey into the world of smartphone-based tolling — a way to increase road-based revenue, help cities control peak-time congestion, and (at long last) enforce HOV lane use. Next-gen toll systems not only cost less than RFID-based ones, but have the potential to reduce the number of cars on the road, replace gas-tax revenue lost due to EVs, and provide a mountain of information to transit authorities to help them better manage traffic. Menzano offers a success story from a pilot program in Texas, USA; looks at how the US has fared against Europe and Asia in tolling; and helps us understand why much of the world is looking to the US for leadership in usage-based road pricing for light vehicles.
Cutter Expert San Murugesan says now is the time to examine the potential effect of autonomous vehicles (AVs) on climate change so we can take appropriate steps before widespread adoption is upon us. We need to examine the potential positive and negative environmental impacts of AVs, look at whether they can help reduce the transport sector’s carbon emissions, and consider how we can minimize their carbon footprint as they become mainstream. After explaining the six levels of automation, Murugesan describes several potential AV benefits, including fewer road accidents, making elderly populations more mobile, and solving the last-mile-delivery dilemma with autonomous trucks. After a careful examination of the possible environmental impact of AVs, he offers recommendations for creating an autonomous future that will not only be safer and more convenient, but also better for the environment.
As we explore in this Advisor, machine vision systems employing machine learning and other artificial intelligence techniques are now bringing major benefits to automakers, dealers, and repair shops in the form of camera-based automated vehicle inspection systems.
Saeed Rahman, Natalie Slawinski, and Monika Winn examine how pioneering companies in agriculture, agri-food, and other sectors can build and leverage ecological knowledge (knowledge about the very ecosystems they rely on) to develop innovative practices that help regenerate social and natural systems. In doing so, these companies can reap benefits for their business and help turn our unsustainable agricultural systems into systems that sustain a growing human population without severely degrading or destroying ecological systems necessary for agriculture and other industries.