Sometimes it's amazing how modern science, AI science is far from abstract rules that only make us forget our problems, hence a vivid decision for our creative spirit. A lot of people imagine AI as highly advanced and complicated maths that only NASA knows or being applied only at some Institute of Technology. Today I'm gonna show you how it's about everything we do or think about. Since the information revolution, machines play a vital role in our lives including all different types of software, hardware or internet of things (external devices intelligently connected). This is also true for AI as well, AI needs machines to function. Machines though defined by their subject and type of application. Many times beginners' mind can't evaluate the vast network of creative engagement. To put it simply I'll bring an example. When you type a photo search at Google, the machine is not human to understand which photo is the fairy, how does an airplane look, etc.
It can be trained though to know by using AI methods. Even more simply, this is being done by using image statistics on the denominator of pixels. The machine, for pattern recognition in the area of image classification (whether an image belongs to this or the other class) needs an enormous amount of inputs to classify, 1000 photos as a rule of thumb if deep learning is being used. Furthermore, the man who is not the machine, has 100 times the experience of 1000 photos as an input, as we know too much of complicated details sometimes portrayed in descriptions. Today AI is being used as well for pattern recognition, voice recognition, content recommendations, YouTube recommendations analyzing metadata, self-driving cars, intelligent devices and predictions, animation and game design or even more, producing realistic animation by putting neural networks to compete each other to produce the most refined outputs! All I am saying is that a young or newly born scientist having theoretical trends, has to balance his thought with the enormous possibilities of creative applications, even mathematical predictions (mathematical models) at a given field out of many fields available.
AI has to do with all types of creative and audio-visual content that if portrayed like all chemical elements in the periodic table, produce the periodic table of content marketing. Let me tell you the problem in this, though. The periodic table of content marketing relies on the visual experience of all elements. Know about ebooks? Fine. Have you played enough games to understand the complexity of game productions? Fine again. Familiar with webinars and social networks? Good. Interested in videos and music? Software? PDFs? Great, again. Familiar with networks and business installations? Metrics, Goals and Tangible Objectives? Excellent.
As a general truth since the dawn of mankind, business management the way some technocrats define it, rarely has executional power if it's only meant to exist in the minds of some management professors or special trainers. This is not a condemnation but rather an open-up to reality. Understanding the above applications of AI, we can also understand how it transforms business practices and what global information means. Many of us when we hear the words "global information" or "data", don't necessarily understand music, videos, simulating Van Gogh or Alice in Wonderland...! We have to be familiar with the vast network of applications that give birth to science...! The machine can substitute the man in the 21st century, or it can make business practices of the past seem obsolete. Personally speaking, pattern recognition in AI described above, rises questions on my enormous experience if quested in "content exposure".
Because many times when it comes to global information, marketing games and science, lies the reality of what physicists call exotic matter, meaning matter of unknown synthesis. Simply meaning that preconceived ideas about marketing and products are not valid. "Global Information" is unpredictable from many point of views. Have a great time!
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