When we read the now common words Digital Transformation, Artificial Intelligence and Machine learning, many people feel they are overwhelmed with that thing, that is supposed to need a lot of math’s proficiency. However, a few of us realize that we live in digital world, since the computers became a needed tool at work, and at home; when we use social media, when we order our pizza using applications, or when we have telephones that do different tasks that we used to do at home; or maybe when the popular video games are something normal for many people.

In America the generations and their habits, problem -solving situations, spending, economic situation, technology awareness, etc. are studied naming the generations according to the years they were born. From the Merriam-Webster dictionary we have these definitions:

• Baby Boomers – the generation of people born at the end of WW II, from 1946 to 1964.
• Generation X – the generation of people born in the 1960s and 1970s.
• Generation Y or the Millennials – the generation of people born in the 1980s or 1990s.
• Generation Z - the generation of people born in the late 1990s and early 2000s.

Now, these terms are applied in many countries, just to study the population political patterns, driving forces related to spending and more studies on poverty, health systems and education.

In that definitions we find that the adults of Millennials and the Generation Z are the techiest people. It’s true that these people are more digital than the previous, but we must notice that the use of statistics and math, by individuals all over the world are related to the passion, culture and growing environment and economic needs. Examples are: many people do taxes; everybody knows the numbers of their favorite sport; everybody knows about general test to enter to a desired college or university; and very important: everybody got used to fill up tanks of their vehicles. Said so, the things that we counted and wrote down on paper, now we do on computers. Our cars are more complexes but we got used to see different lights of the car’s dashboards. It means, all the generations are on Digital transformation.

Just to explain about what is required on our jobs we will explain about Skills. The distinction between an intelligence and a skill is another common source of confusion. Unlike sensory systems, which precedei ntellectual work, skills manifest as a product of such work. More pecifically, they are the cognitive performances that result from theoperation of one or more intelligences (Gardner & Moran, 2006).

Within and across cultures, the types of skills displayed by individuals vary widely, from cartoon drawing to swimming, from writing computer code to navigating ships. Skills act on the external world.

As a result, they are shaped by the supports and constraints of the environment. Thus, whether an individual’s bodily kinesthetic and spatial intelligences are put to use in swimming or marine navigation depends on an individual’s access to a body of water, a willing instructor, and time for practice.

Since we are exposed to the Digital transformation as a way to advance in our life – careers, family- we will talk about definitions of Competencies, Skills, Artificial intelligence, Machine learning and how we use them.

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Presentation Content:

1. Competency and key words
2. Competencies and Skills
3. Classic definitions related to Competencies in Business
4. Skills in US
5. Top 10 Employability Skills

Artificial Intelligence and Machine Learning

1. What is needed?
2. Artificial Intelligence - Definitions
3. Artificial Intelligence and Machine Learning
4. What to do?
5. Artificial Intelligence – One Reference
6. Machine Learning- One Reference
7. Digital Transformation – The Human Passion
8. Digital Transformation, AI and ML  – The Human Passion
9. The Statement