I would like to share some of my thoughts on key developments that I believe will determine our lives in the upcoming two decades. Almost all of this is fueled by ever more accelerating technological progress and there are a lot of opportunities in it. As well as significant challenges.
Looking back at the perceived principle of the industrial age, where growth occurred or seemed to occur in a linear function, today we know about Moore’s Law. We have been able to observe it for the last 50 years where over time it became clearer that we have a doubling of computing power roughly every 1,5 years.
Now how does that apply in our everyday life? Where do we actually see that technologies get more and more “disruptive”? To show that this is not about buzzwords, here are a couple of examples for “wow” type of developments: Continue reading “Where accelerating technological Development will lead us in the next 15-20 years (André Cramer)”
Wearable cameras will be ubiquitous. We’ll barely notice.
By 2020, 80% of the world will be in possession of a physically unlimited camera attached (mostly) to an instantaneous global image distribution network. This will also be the screen that allows access the visual experience of the rest of the world.
Smartphones still require a complex series of time-consuming gestures to create and distribute an image. An exponentially increasing appetite for images, as a practical matter, requires exponentially increasing creation. Wearable cameras will take care of that.
But what happens when images are integrated as fully into our reality as time?
…
Source: As We Become Cameras — Medium
Unique data visualizations are more memorable, and add variety for the audience — even the most clear and straightforward visualization types lose their appeal when repeated over and over again. As visual literacy increases in the general population, data visualization designers will need to continually extend their knowledge of and proficiency across a widening range of visualization approaches to grow their skills alongside audience familiarity and expectations. Even more importantly, broad visualization know-how is essential for matching the data visualization type to the data available, the story to be told, and the question being answered…
Source: 7 Data Visualization Types You Should be Using More (and How to Start) — Medium
Where to start learning if you don’t know the basics.
Essence:
- Identifying and Framing the Analytical Problem
- Working with Quantitative People
- Understanding Different Types of Data and Their Implications
- Understanding Different Types of Analytics and Their Implications
- Exploring Internal and External Uses of Analytics
