The building blocks of our future are numerous, and they are intersecting in ways that drive rapid shifts. I Visualized this phenomenon a while back, trying to depict the complexity of our world and the challenges it represents. It was Futurist Gerd Leonhard that gave me the idea. As someone who used my Anchor Visual in keynotes, he reflected on how impactful it might be to demonstrate the convergence that was occurring across the visual.
Recently, someone shared a very interesting inforgraphic on the future of cars. I get these requests to share content on a regular basis, and I assess them based on their insight and potential value to my readers. This is an example of a very well done Infographic with a great deal of insight. Below is an introduction and the infographic. Enjoy!
The future of cars is a popular topic these days. In a recent Article by Drew Page, he explores self-driving cars in detail, including the hardware, software, points of failure, issues, and levels of autonomy. The article uses this brilliant infographic from The Simple Dollar to describe these various areas. It is hard to get consensus from experts on when they envision full autonomy. In light of this, continuous education and awareness is critical, making articles such as this one critical. Although the benefits of full autonomy are fairly clear (a dramatic drop in auto fatalities, positive environmental impact, etc.), the risks are just as important to consider.
I highly recommend a quick read of the above mentioned article and a thoughtful journey through this infographic.
This Recent Article is the result of a collaborative effort between TCS and the Clayton Christensen Institute. The article examines the strategic choices faced by various players in the emerging Mobility Ecosystem – viewed through the lens of the Theory of Disruptive Innovation. It outlines the best course of action for achieving long-term profitability in the ride-hailing market.
As with any future scenario, the variables that must be considered in determining the path of the scenario can be overwhelming – There is Peril in Predicting. However, inaction is not an option. Strategic choices must be explored.
I recently came across a very good Infographic that describes the future of cars. Here is the abstract from the Carsurance website:
The future of cars undoubtedly seems exciting. Up to this point, cars were viewed primarily as a convenient method of transportation. The main advancements were made in reliability, safety, performance, and overall comfort. However, the advent of the internet and artificial intelligence unlocked a whole new field of progress in the auto industry.
An automobile of the future is not just a machine for driving to your desired destination. It’s a fully automated system that makes all the decisions for you while you enjoy the latest content on its premium audio-visual system.
Want to change the route? Just give a verbal command and the cars of the future will know what to do. Worrying about crashing or getting a citation? The vehicles of tomorrow will carry self-driving software that is so reliable, humans do not even come close.
Reducing carbon emission is another crucial challenge for the car industry. Electric and hybrid cars, with their replicable batteries, seem like a convenient solution. However, future cars could rely on even more advanced fuels.
I am a big believer in rehearsing the future versus attempting to predict it. The wild swings we experience when following future scenarios can range from bold predictions of imminent manifestation to dire warnings that a scenario will never be realized. In this Recent Article, the author describes how the auto industry is rethinking the timetable to realizing level 5 autonomy. Turns out we underestimate the human intelligence required to drive a car and overestimate our ability to replicate it. The article provides simple examples:
When a piece of cardboard blows across a roadway 200 yards ahead, for example, human drivers quickly determine whether they should run over it or veer around it. Not so for a machine. Is it a piece of metal? Is it heavy or light? Does a machine even “know” that a heavy chunk of metal doesn’t blow across the roadway? It’s a tougher problem.
Or how about this challenge that humans for the most part handle very well:
When a car arrives at a four-way stop at the same time as another vehicle, for example, it’s a dilemma for a machine. Human drivers tend to nod or make eye contact, but micro-controllers can’t do that.
The hype around autonomous technology continues. The focus, investment and rapid advancement in this space has changed the way leaders Think about the Future. The science-fiction feel of a future-focused discussion has disappeared – replaced by the reality that the future is appearing faster than we think. Look no further than self-driving delivery.
The convergence that is steering our emerging future manifests itself through a number of scenarios that drive multiple paradigm shifts. As the shifts themselves converge, they intensify the critical need for leaders to think differently about a world where the future arrives faster than people think. Some time ago, I had a great conversation with Chunka Mui regarding pace, the sheer number of shifts, and the need to think differently. We used the autonomous vehicle to explore the challenges of our emerging future. I will present the full discussion in five short segments, along with white board animation to visualize our dialog.
Chunka Mui is the managing director of the Devil’s Advocate Group, a consulting team that helps organizations design and stress test their innovation strategies. As a consultant on strategy and innovation, Mr. Mui has spent considerable time analyzing the autonomous vehicle scenario. He asked a question in his book The New Killer Apps about autonomous vehicles and what happens if traffic accidents are reduced by 90% as Google predicts. This simple question makes visible the broad and deep implications of these future scenarios. As society responds to their implications, new ecosystems emerge that alter our world. In this case, the vehicle is one of numerous components of an emerging mobility ecosystem that is defined by the responses that are playing out right now.
Here is the first of the five segments:
In the last three years, I have written about the emerging Mobility Ecosystem and its Disruptive Potential. In 2016, we witnessed the acceleration of this future scenario and the movement from science fiction to something that feels very real. Here is a great infographic that looks broadly at the autonomous car market, the many financial, practical and scientific challenges involved in the development of these vehicles, and these other topics:
- The history of autonomous cars
- The challenges involved in engineering the coveted autonomous car
- How DARPA have been involved in testing driverless cars
- The advent of Google X
- The science behind autonomous vehicles
- What the future holds for the autonomous car market
- Which car brands have driving patents for autonomous vehicles
- The projected launch date for driverless card (for test or commercial purpose)
- Projected market penetration of autonomous cars in the UK
- SAE levels explained
In his tenth post in the series, Marshall Kirkpatrick focuses on the intersection between artificial intelligence and autonomous vehicles. By way of reminder, Marshall launched a 30 day series that explores the intersection between AI and the various innovation components on my emerging futures visual.
This post continues the disruption scenario discussion initiated by my earlier Insurance Industry Case Study. I’ve been using the autonomous vehicle (AV) as an example of a disruptive scenario with potential societal, economical, and environmental impact. In this post, the focus shifts to the scenario’s possible effect on the automotive ecosystem.
Autonomous vehicle technology can be viewed using a five-part continuum suggested by the National Highway Traffic Safety Administration (NHTSA), with different benefits realized at different levels of automation:
Last month, an IHS Automotive study predicted the world will have nearly 54 million self-driving cars by 2035. The study also predicts that nearly all vehicles in use are likely to be self-driving cars or self-driving commercial vehicles sometime after 2050. Meanwhile, automakers and others are unveiling both their plans for – and introduction of – automated features:
At a recent news conference, U.S. federal transportation officials described Talking Cars and their ability to avoid deadly crashes by seeing it coming before you do. The U.S. government will likely require automakers to equip new vehicles with technology that lets cars warn each other if trouble lies ahead. A radio signal would continually transmit a vehicle’s position, heading, speed, and other information. Your vehicle would receive the same information back from other cars, and the on board computer would alert its driver to an impending collision. Alerts would come in varying forms: a flashing message, an audible warning, or a driver’s seat that rumbles. Some systems might even automatically brake to avoid an accident if that option is included. Examples of what the technology enables: