As Bebar Bilim, we are launching the Data Literacy Movement in order to transform our future, prepare for the new world and become one of the locomotives of the digital transformation train that has set off in the world.
As Bebar Bilim, we are launching the Data Literacy Movement in order to transform our future, prepare for the new world and become one of the locomotives of the digital transformation train that has set off in the world.
Everything is transformation. Transformation is everything. With the transformation of energy, humanity has eliminated the boundaries of place and space. This time he set out to eliminate the speed and time limits with the transformation of data. I told you we were going to build an infrastructure before we talked about the technique as part of the Data Literacy Movement. In this video, in order to understand where we are and where we come from, we briefly look at the stages that brought us to this day, starting from the very beginning. In the future, we will examine these stages in more detail historically.
As we continue to lay the foundations of the Data Literacy Movement, this time we talk with Yüksek Çomak, a technology entrepreneur, why we are embarking on this journey, the meaning and importance of this journey.
We said the Data Literacy Movement would be very different from the educational programs we know. This time we are talking about the revolutionary change we need in our view of chaos and chaos. Chaos is actually simple...
In this first chapter of the Data Literacy Movement, “What Does It Mean to Be a Data Literate?” we answer the question and talk about the awareness that the program will give us.
In this part of the Data Literacy Movement, we begin to completely change the picture that comes to mind when we say DATA.
At the moment, only when we look at the data that humanity has produced in this year. Assuming there are 8 billion people in the world. This means that, per capita, there is 500 times the data available in the library of Alexandria. Per person... And this continues exponentially. But I think there's a problem here. Too much, isn't it? Where do we start?
We had a conversation about data with Stephen Brobst, who served as a Technology and Science adviser under Barack Obama management and played a pivotal role in shaping America's Big Data strategy.
In this section of our Data Literacy Program, we talk about the path to Big Data and the “averages.”
With this section of the Data Literacy program, we begin to learn how to “not be fooled by numbers”. Our first stop is the difference between “correlation and causation.”
Our “intuition”, which we call the sixth sense, is not our ability that arises when we stop and stop, but a “skill” that everyone can acquire with a certain plan, work and enough time...
In this part of our conversations with important people from the sector in our Data Literacy Program, we had a very pleasant conversation with Andrea Magnago from Crosser about the Future of Software, the importance of Data and Data Literacy and many topics.
“Data” will again be the greatest force of humanity, which has jumped into the age together with the technology and technology giant companies, against capitalism, which has become even more despised with these technologies.
We need “logical analysis” in all areas of life. But for the most part, we do not go beyond the “initial” level, from economics to politics, from relations to education. When we understand these stages, the source of all problems also becomes apparent.
Our conversation with Mesut Demirbilek, founder of My Security Analytics, retired police chief and crime research expert, about the crimes of the future, the present and future of cyber security, what is being done in this field in our country and post-quantum cyber security.
How Turkey Catches the Artificial Intelligence Train
If we want to understand AI we need to read some history and place some milestones well. Because when we talk about the history of artificial intelligence, you will see that this road was woven with a lot of barbed wire. Once upon a time, there was an AI Winter in which artificial intelligence was completely removed to dusty shelves and no one even looked in the face. It also brought us great names like Alan Turing, John McCarthy, Marvin Minsky and Geoffrey Hinton. With the efforts of these geniuses, we have come to the point where we are today, but how did we get there? Tie the belts. We begin.
We call it artificial intelligence. Thinking machines. Robots. Humanoid robots. We are talking about thinking. Like us. Like a living thing. Then we need to ask a question. These machines. If they come to the point of thinking. There must be an evolution of these too, right? They need to go through a process. Nothing comes out of the blue. We know this from nature. It's okay. Is there also an evolution of artificial intelligence? Var. We will see very similar stages. When artificial intelligence begins to see, hear, speak, understand... Walk, run... perhaps develop a consciousness... Do you want to see them all step by step? Then our story continues...
Remember, I told you that you need to wear “data” glasses whatever you do. When I started the Data Literacy series. It was precisely these developments that I took a break from that series. Since developments related to Artificial Intelligence have accelerated so much, breathing new life into that series and updating everything we know, today we begin a new adventure with this video with the question: What is Artificial Intelligence really? How does it work? What lies in the invisible layers of this technology that we do not know?
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