We are producing data and processing it like crazy, but how do experts view the processing of this big data? Bernard Marr, Halil Aksu, Matt Brittin, Orkun Işıtmak, and Zafer Küçükşabanoğlu discussed the big data problem for ntv.com.tr.

Approximately 70 planes take off every minute every day. Each aircraft has thousands of sensors for data collection purposes. The majority of sensors are located in the aircraft’s engines, providing essential safety data.

In addition to the sensors in the engines, there are a significant number of sensors in the seats, corridors, ventilation systems, kitchens, and control panels. During an hour-long flight, these sensors generate 1 terabyte of data. This means that in one day, an aircraft produces much more data than what a platform like Twitter, now called X, generates.

As a result, each day, 100 thousand aircraft take off, returning with millions or even billions of data points like weather conditions, engine performance, fuel economy, average passenger weights, or the number of cups of coffee served during the trip. What about the data collected in other areas of the world?

From supermarkets, highways, online shopping platforms, factories, gyms, schools, courthouse buildings to hospitals. We are talking about data on a scale that is hard to comprehend.

According to scientists, we will generate 175 zettabytes of data this year. If we were to transfer this data to CDs, we could circle the Earth 22 times, or we are talking about a volume equivalent to 1 trillion 750 million 4K movies. Furthermore, our lives are constantly expanding, tirelessly collecting and transmitting data… Autonomous cars, mobile assistants, smartphones, watches, and televisions are the collectors and transmitters of this data…

How do experts view the processing of this big data? Bernard Marr:

With the mobile revolution and the explosion of social media, we suddenly have access to vast amounts of processable data. This development was followed by cloud technology, enabling us to utilize computers in a remote data center to process our data. We no longer needed to use our home computers or mobile phones. This advancement made it possible for modern artificial intelligence to do incredible things. Halil Aksu:

All devices connected to the internet will produce data. These data form the famous big data; terabytes, petabytes, zettabytes… And this is what trained those smart big language models. The famous productive artificial intelligence tools we use with admiration and amazement were trained with this data, all digital data. During a minute, 210 million emails were sent. 60 million messages were forwarded to another person. 5 million people searched on Google. A million people logged on to Facebook. Videos totaling 450 hours were uploaded to YouTube, and 5.2 million videos were watched. All this happens in just one minute. The increasing data each day is referred to as “Big Data”…

Obtaining, storing, and analyzing Big Data requires a significant amount of processing power.

The second reason for the rapid development of artificial intelligence is the monumental progress made in processing power in recent times. Additionally, the ability to store data in the cloud instead of on a device. It is necessary to mention that due to the shrinkage and strengthening of chips, artificial intelligence operations can now be carried out using smaller devices like smartphones. Big data, cloud technology, and powerful processors. These advancements in these three areas have made artificial intelligence a dizzying force. In 60 years, we moved from massive computers that only performed calculations and had no keyboards, mice, or screens to small, self-learning machines. The scientific community has implemented a variety of artificial intelligence types on this journey, and continues to work on creating new ones. The goal; a general artificial intelligence that can solve problems similar to human intelligence and self-aware artificial intelligence capable of performing all cognitive tasks flawlessly… Artificial intelligence that surpasses human intelligence.

Bernard Marr:

One of the learning methods of artificial intelligence is mimicking human behavior. For example, a Tesla car observes how humans drive and learns by mimicking. However, the latest evolution in this field is the large language models that combine all of these. Tools like ChatGPT and Google Gemini have made artificial intelligence more accessible to everyone as free services. These tools can answer our questions, create texts, images, music, videos, and more. This continuous evolution continues today and will increase in the future. In reality, the only form of artificial intelligence we can currently use is Limited Artificial Intelligence.

Limited artificial intelligence has the ability to learn from past data and make decisions based on this learning. The most well-known example is autonomous driving systems. Vehicles evaluate road conditions and make new decisions by remembering the data previously taught to them. The next development beyond limited artificial intelligence is already in place: Generative AI.

Orkun Işıtmak:

When Artificial Intelligence is used responsibly and correctly, I believe it will positively influence the youth. Especially creating something in the areas of creativity, entertainment, and learning will be much easier and more accessible, thanks to the capabilities of Artificial Intelligence.

Matt Brittin:

Google’s mission is to organize the world’s information and make it useful and accessible to everyone, and artificial intelligence will further this mission. If you cannot speak or read, we can help you with the capabilities of artificial intelligence. Generative artificial intelligence is considered the most advanced stage among the known and used types of artificial intelligence. It enables the creation of new and original content using specific data inputs. It can produce high-quality photos, graphics, images, videos with the finesse of an artist.

Yonca Dervişoğlu:

Artificial intelligence, when accompanied by human collaboration, will bring out the potential of individuals significantly and lead to very positive developments in many areas such as music, science, or the workplace.

Matt Brittin:

For example, there is a fantastic project called “Project Relate.” This project helps people with speech impairments to communicate. You can add captions to what you say using your phone, eliminating communication barriers. Therefore, building bridges to help people understand each other and facilitate their self-expression is a huge opportunity, not a barrier. People living in the 21st century are witnessing a revolution: the artificial intelligence revolution.

John McCarthy’s envisioned computers that think, talk, and make life easier in the 20th century are now part of our lives. However, like in all new technologies, there are supporters and opponents as well. Some believe that artificial intelligence will be constructive, while others think it will be destructive.

Levent Erden:

Artificial Intelligence will not come and take something from someone. What will be discussed is how to move forward and how to advance, similar to a blacksmith saying horses are useless now that automobiles are here. Therefore, there is no point in crying because no one will bring me a horse; one must get a driver’s license.

Ayşegül İldeniz:

Technology is very exciting. Technology is a marvelous tool. For the past 30-40 years, as humanity, we have managed to lift two-thirds of humanity slightly above extreme poverty. Billions of people have managed to step up even somewhat from the minimum living standards. This is, to some extent, also indebted to technological innovation. In that sense, I always say; technology gives us whatever we do with it. While the world is taking giant steps in the field of artificial intelligence, where is Turkey? According to experts, Turkey has great potential…

Zafer Küçükşabanoğlu:

Currently, Turkey needs an orchestration. The public sector must take the lead in the field of Artificial Intelligence. They should be the pioneers of this field and guide civil society organizations and the private sector in an orchestration manner. Artificial Intelligence equals data. Data coordination loves focus. In addition, it should take young people into its focus. Turkey’s greatest asset in artificial intelligence is the 27 million young people living in these lands. If we can understand these young people, create a platform for them, turn their interest, excitement, and curiosity in Artificial Intelligence first into knowledge, and later into entrepreneurship, then Turkey can be among the top 10 countries in Artificial Intelligence indexes.