In his fourteenth post in the series, Marshall Kirkpatrick focuses on the intersection between artificial intelligence and smart cities. 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.
A must read on six mega-trends, their tipping points and societal impacts. I recommend this for anyone with interest in where the world is heading, and/or tasked with future thinking in the context of strategy. I commend the World Economic Forum for their efforts here, as education is likely to spur action. The six mega-trends are:
- People and the internet
- Computing, communications and storage everywhere
- The Internet of Things
- Artificial intelligence (AI) and big data
- The sharing economy and distributed trust
- The digitization of matter
Here is a tipping point timeline from the report:
Many leaders are struggling with the sheer number of future scenarios and some indication of when the tipping point may arrive. This material provides critical input into the scenario and response analysis process. Enjoy the read.
The content of this post was updated on February 16, 2017 in a new post titled Intersections Promise to Drive Multiple Paradigm Shifts
When I first started using the term “Combinatorial”, people thought I was making words up. Although I’d like to take credit for the word, I first came across it when reading The Second Machine Age, a fascinating book by Andrew McAfee and Eric Brynjolfsson. I remember thinking that it was a perfect word to capture the amplification of both innovation and its disruptive power. By now, readers of this Blog have seen the foundational Visual that describes the digital foundation, innovation accelerators, and disruptive scenarios. What the visual does not convey without the associated narrative is the power of combinatorial.
If we build on top of the visual, we begin to see the complexity at the intersections, the amplification of disruptive power, and the broad implications for the future.
The best way to describe this phenomenon is through examples, so let’s look at six combinatorial scenarios as an overlay. The visual is a bit overwhelming, so a better way to follow the various paths is via this PDF. Here is a description of each scenario. The numbers in the visual above map to the scenarios below, and the colors show the combinations: