As I periodically do, I have updated my anchor emerging future visual. The focus for this iteration was The middle portion of the visual: societal factors. The following factors were added, with some descriptions provided by the Future Today Institute (FTI) 2019 Trends Study:
Nick Burnett, Futurist and Education and learning entrepreneur, recently published an Article on education and artificial intelligence. The article launches a series that explores exponential technologies and their impact on learning and teaching. The post was co-authored with Nick Kairinos and the Fountech team. A focus on learners, teachers and leaders is critical, as education is the key to success in the 21st Century. I recommend the article.
Story telling is the most effective way to communicate – and in times of complexity, uncertainty, and rapid pace, it becomes even more critical. Telling stories about the future requires a broad view of an increasing number of building blocks. The visual I use attempts to look at these building blocks and the various ways they combine to enable future scenarios. The scenarios themselves are combinatorial – converging on one and other in ways that transform how we think about the future. A deeper explanation of the visual can be found Here.
In the spirit of story telling, here is the visual brought to life via video. Select building blocks are chosen to describe this Future Thinking Canvas.
In looking at transformative periods throughout history, it is apparent that Convergence was a critical driver of change. While I am still hopeful of the ultimate convergence across societal, political, environmental, philosophic, economic, and business domains, it is clear that convergence is already occurring in the science and technology domains. This synergistic relationship where advances in one domain fuels rapid advances in the other is the force behind our rapid pace. As we saw in the Poll that looked at the catalysts that drive convergence, it is this rapid pace of innovation that many believe will ultimately drive it. This initial convergence is altering long-held Beliefs and Intuitions – eventually forcing convergence across the other domains.
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 recently authored an article on ecosystems and digital transformation along with leading platform strategist Simon Torrance. Here is a brief abstract of the article. You can read it Here on the TCS website – along with other perspectives on digital transformation.
As Frank Diana and Simon Torrance explain in “Defining Your Digital Ecosystem: The First Step in a Machine First™ Transformation,” many leaders are no longer looking at strategy and industry structure in the ways of a non-digital world. Instead, they’re analyzing how emerging ecosystems—networks of stakeholders, including business partners, suppliers, customers, and competitors that interact digitally to create value are supplanting traditional industries as the organizing construct. For example, in a mobility ecosystem, automakers no longer just make cars; they must redefine the very notion of automobile ownership and how people get around.
In the past several weeks, the topic of Digital Ethics has come up several times. A critical piece of this discussion involves the bias that is and will be built into the applications of artificial intelligence. Amy Webb is a Quantified Futurist, Professor, Strategic Foresight at NYU, and the Founder and CEO of The Future Today Institute. In March of this Year, Amy published a book titled The Big Nine.
In her book, she tackles the issues associated with bias; specifically, the lack of diversity in computing. In this recent Article, Amy discusses the consequences of computer systems that don’t anticipate all the types of people who might use them. For example, Computers have started issuing prison sentences. A quick look at one of the largest technology companies underscores the severity of the issue: At Google, more than 95 percent of technical workers are white or Asian.
In reacting to the big focus on STEM, AMY had this to say: “If everyone is focused on the nuts and bolts of making software quickly at scale, where will they learn to design it with equity and care? Critical thinking is what the computers won’t be able to do,”. I recommend both the book and the article as a means of education and awareness regarding this critical issue of bias.