In 2017, we learned that one thing is missing in our world: courage. But we need courage, for us, for our children, for our world. Come with me! Let’s create courage together! Even “digital courage” is needed in the future, because everything is changing. You also …
DIGITAL COURAGE – WHAT WE’VE HAVE LEARNED FROM LAST YEAR AND WHICH CHANGE SCARES US
Actually, the biggest fear is comes not from the “digital transformation”. Artificial intelligence, flying – and unmanned (!) – means of transport (News release from September 2017: “Air taxi masters maiden flight over Dubai”), robots and much more … I’m looking forward to it!
Flying Cab
No. I am more worried about humans and her dishonesty. Industries, which have already fallen behind because of the digital transformation, demolish themselves. 2017 was particularly for the german automotive industry: a diesel scandal that showed one thing: more like a human can only be a human. For example, there were collusion between corporations. This has one single message: “Dear Customer, I give a shit on you.” It’s like with football when two teams agree on a final result in advance and the viewer has no chance to see anything genuine, honest and appreciative. What he had actually paid for.
BIG DATA, MACHINE LEARNING, AI AND MUCH MORE IS COMING …
At various conferences, events and trade fairs worldwide, certain digital topics have repeatedly surfaced. Especially “Big Data”. What is that, actually? What is so “big” about it? Well, it’s about data that we humans – theoretically – generate every second of our lives. Wanted or not. We always leave a data track. It has always been like this. Since Adam and Eve, if you like. The only difference is that we can save everything today. If we can save it, then we can analyze it. This “everything” is all the data we come across and which we save. Data already exists, we actually have to “only” collect data. Because everything that “moves” leaves behind a data track. Like human or weather, animals, all nature, stars, the whole universe. Everything.
Big Data
Everything is pretty much. That’s why we call it “Big Data”. The amount of data collected by banks, insurance companies, the retail industry or the sports industry alone is incredibly large. We also only speak of all the data that is relevant for the industry. Theoretically, everyone could collect much more data, if they can also be meaningfully evaluated. Evaluating means that we then create information from this data. Patterns become visible. Like footprints in the snow. Seen from very close, you only see the one track. Would you fly high, e. g. with a drone, and look at this footprint from a greater height, then you might recognize a trace. But also much more. For example, more tracks that cross this one footprint, and stations (trees, houses, etc.) to which the footprints lead. In short, we recognize a pattern.
Now imagine a huge area, with very – very – many tracks, trees, houses, and much more. Imagine something that is “big”. That’s “Big Data”.
For some time now we can “do” something with this data. We can evaluate it. We can analyze it. That’s why we talk about Data Analytics or Business Intelligence. Incidentally, data nerds briefly call this “BI”. I’m one of those data nerds myself. I can confirm that the topic “Big Data” is getting bigger. I know the “problem” even too well. Not only corporations, even governments now have the problem that they have too much data. As I said, data is generated every second of time. Since the Big Bang. The only question that arises is “Which data do we want to transform into information?”. Depending on which and how much information interests me, the bigger is “Big Data”. Bigger does not mean better, but above all, more complicated. You – and the whole world, who collects this data – then need experts who quickly turn this data into information. Fast is crucial nowadays. Because your market companion has already contacted the aforementioned experts. These experts are “Business Intelligence Experts”, the experts for big data and data analytics and the demand for these experts has been steadily increasing for the last twenty years. What is “going on” knows those who work in this environment all too well. There is even much more, e. g., linking Big Data with Machine Learning, AI, Robotics, Automotive, Genetics, Neuroscience, Health, Predictive Analytics, and more …
CHANGE. CHANGE. CHANGE!
At one of these conferences Frank Thelen, German entrepreneur, investor and geek said:
- In this new world you need one thing above all else: courage!
- In 3, 5 or 7 years, everything will change. Everything!
- 80% of the people will lose their jobs. If they do not manage to get happy from the inside, they will have a problem. Because titles, money and other status symbols will lose more and more “attractiveness”.
Change. Change. Change!
WHAT WE HAVE LEARNED LAST YEAR?
That the Digital Transformation, Big Data, Artificial Intelligence, Automotive, Genetics, and more, needs a single description: Change.
Change will come. Sometimes disruptive, sometimes insidious. A change will then be “overwritten” or updated by a new change. Only the brave will be successful and happy. Bye silent lake, welcome, wild river.
HOWEVER 2017 WAS ABOUT PEOPLE AND IN 2018 ABOVE ALL!
As a computer scientist, I know that the world does not even have any idea what this “everything will change” means at all. The consequences are not yet conceivable for the average consumer. Nevertheless, even as the Digital Transformation progresses and the pace will even increase, everything and more and more will revolve around people. Promised!
You will be the focus.
The one who confronts you with the biggest challenges of your life .. The one who is your biggest “opponent” .. The one who accompanies you for a lifetime .. The one you talk to most about .. The one who will always you (or at least always should love) .. That is you.
2018 is YOU
#BEBRAVE – AND STOP COPYING OTHERS, YOU HAVE EVERYTHING YOU NEED IN YOU!
PS:
Because I don’t want to be the one who repeats over and over again (iteration allows a truly productive creation!), here’s someone else:
