Big Data and Pandemie – see the latest article about my new book in the actual September edition of magazine BILANZ (German only) -> Link
Order your copy (German only) in various formats (e-Book, Paperback or Hardcover) here and on other market places.
Especially in the present times of the Corona crisis and the almost complete standstill of the world caused by it, one should be aware that every crisis is also a position-fixing. In the last hundred years and before that, there have always been global crises that have hit humanity hard – just think of the world economic crisis of 1929.
Each time, humanity has been able to build on the respective scientific and technological knowledge, which was initially modest and has improved over time, and with constant innovation has been able to survive these world crises more or less well – albeit often with regrettably high, in many cases human sacrifices and considerable financial damage.
I have wondered why only a few of my friends, acquaintances, relatives or even work colleagues recently wanted to have the answers to these questions which are important to me:
- Why have the huge amount of data from the Internet (Facebook, Google & Co.) not been better used to anticipate or predict this crisis?
- Is the use of my mobile phone or computer while surfing the Internet monitored by companies or the state?
- But are my data, photos and videos on the Internet safe?
- What is the difference between data privacy and data ethics?
- What actually happens to data I use on the Internet and in the apps on my phone – is it deleted after use?
- And what is the use of the highly praised Artificial Intelligence (AI), if not even this corona crisis could be predicted?
Unfortunately, the answers to these questions are, in fact, not quite so simple.
Over the last twenty years I have built up a comprehensive expert knowledge of digitization, data and big data, data science and artificial intelligence as well as the associated technologies for the effective and targeted handling of data. I do not see digital change as a purely technological phenomenon, but rather as a social opportunity, and therefore the intellectual, cultural and emotional transformations required to achieve this are to be addressed above all.
That is why I have decided to write this book to show in a pragmatic and generally understandable way for everyone what data, data science and Artificial Intelligence (AI) are all about. The book is thus an educational work to decipher the numerous, complicated stories and myths and explain them in a way that is understandable to everyone – and at the same time it serves as a reference book with an extensive glossary of 200 business or technical terms and 115 illustrations.
Using numerous practical examples, I explain which terms are to be understood in this context and how, which concepts and methods for data and information are available, and explain in detail how they work.
«Data Intelligence» means preparing the desired knowledge and making it easily available wherever you want it.
This book also answers the question of what benefits existing or newly created data and the associated technologies can bring to digitization and data-centric business models in terms of sustainable innovation.
Now you might ask yourself why I am writing this book at this particular time?
I’ve been carrying around with me the idea of writing a book about my experiences for several years now – also as a reaction to the many positive feedbacks during my lectures on this topic. The Corona Crisis and the resulting standstill have now given me the intense impulse to finally put this idea into practice.
I am convinced that this was not the last bad and global event for mankind, and that we will have a similar crisis again in the next few years – and thus in the foreseeable future – even though it may be of a different nature.
With a sound understanding of data and information, the efficient use of technologies that already exist today and will be newly developed tomorrow, as well as a comprehensive insight into today’s scientific knowledge and a fundamental trust in science, we can certainly master the next crisis better, possibly even predict it now or even prevent it altogether.
The provision of intelligent data sets, which I refer to as «Smart Data», and the future use of «Data Intelligence» as a novel approach to the use of Data Science will greatly accelerate the development of data-driven processes and data-centric business models. In combination with the use of «Augmented (Human) Intelligence» – my understanding of the cognitive use of Artificial Intelligence – this can make our world a better place where problems and crises can be better predicted or even avoided, which makes sense to people and companies.
This book provides insight into the use of «Data Intelligence» that is already possible today and is intended to encourage managers and business or technical experts to develop and implement unconventional and alternative solutions themselves. For the interested novice, it serves as a basic reading for a look behind the scenes.
With this in mind – enjoy an exciting read!