Modern Artificial Intelligence and Data Science (A.I., #1)

Artificial Intelligence (AI) is often all over the news these last few years. Some fear

that AI is getting so advanced that people will start losing their jobs and their habits.

In fact, one area humans will always be better at is emotional intelligence. Computers

can't be emotional, but they can trick us into believing they are.

Yes, we can say that AI is breaking records lately on all fronts. Its catalyst is

the abundance of data that is constantly being generated with the various existing

technological and material means. Being coupled with data science and applied to

different areas of everyday life, AI is usable everywhere and it can be applied and can

help enormously in every area. In fact, we have really a special opportunity in terms

of transformation. We cannot predict what will happen in the the near future. But

what is sure, is that almost all services will have an AI component. There's an entire

ecosystem under construction that will bring a new set of products and services.

Now, we are witnessing more than another industrial revolution, it is something that

exceeds humanity and even life itself.

AI affects all our lives on a daily basis. It influences our choices in a way or

another. It is potentially offering solutions and alternatives to many practical issues

of everyday life and if well explored it can positively revolutionize the life of the

people. Thus, we must approach this discipline to contribute to its better orientation

in the service of humanity.

To sum up, over the past few decades, we are undoubtedly witnessing an unprece-

dented technological revolution. Thus, we live in an era where everything changes

very quickly and where everything is connected thanks to very advanced develop-

ments both in new technologies in general and in computing in particular. AI, big data,

internet of things, cognitive computing, high-performance computing, blockchain,

cloud and edge computing, and virtualization, have invaded the world of computing.

These new disciplines allow the development of several applications to facilitate

human tasks and thus mainly deal with real-world activities which, at a certain time,

were relatively difficult to accomplish such as health, education, agriculture, energy,

environment, security, cyber security, industry, economy, finance, transport, societal

issues, and in general, in all areas we can think of.

We consider that this book presents some really interesting advances in the field of

AI coupled with data science and their applications. It contributes to their evolution,

emergence, and particularly their guidance in the service of the humanity.

We would like to thank all the authors for their interactions, involvements, and

interesting contributions.

In addition, we would like to warmly thank and sincerely acknowledge the great

efforts of the editors, especially Professor Janusz Kacprzyk, Dr Thomas Ditzinger,

Dr Sylvia Schneider, Dr Hemavathy Manivannan, and Dr Manopriya Saravanan for

their great help and support and to any person who contribute to promote the Springer

Nature Publisher, particularly the Series of Computational Intelligence Studies.