Aşağıda yayınladığımız yazılar, Prof. Dr. Selim Yazıcı’nın Özyeğin Üniversitesi, Financial Engineering and Risk Management (FERM) Yüksek Lisans Programında vermiş olduğu Financial Technologies dersinde öğrencilerin bitirme ödevi olarak hazırladıkları çalışmalardan oluşmaktadır. Yazılar kendilerinden izin alınarak yayınlanmaktadır.


Hazırlayan: Elif Alyörük

Artificial Intelligence is a computer aided system developed by people who can accumulate experience by benefiting from a large network of information, enabling them to learn from these experiences of any machine or system. From ATM’s to mobile phones, artificial intelligence is moving fast. While science fiction often depicts artificial intelligence as robots with human characteristics, artificial intelligence can cover everything from Google’s search algorithms, autonomous machines. But is it the real catalyst of life or there are some undiscovered regions behind it?


Although artificial intelligence is thought to bring about the end of business life, changing world conditions, shaping of needs and the fact that it multiplies shows that an end will not come. Artificial intelligence is a substitute for labor in some industries, these places are often the areas in which muscle power is organized. However, people are more suitable in unpredictable environments or when working in areas where significant social intelligence is required. Research suggests that 10% to 30% of jobs in the UK can be highly automated, but many new jobs will be created. Research also revealed that technology contributes to productivity, employment and economic wealth increases at population level. In fact, people have created the opportunity to focus on other points and have begun to think bigger thanks to the ease with which most artificial intelligence offers them. Thus, neither the need was reduced nor the artificial intelligence began to govern. (Artificial Intelligence And Fintech: Speaking Your [Its] Mind, 2018)

Nowadays, artificial intelligence is known as narrow artificial intelligence (or weak artificial intelligence) because it is designed for a narrow tasks like face recognition or just driving. However, the long-term goal of many researchers is to create a general artificial intelligence (AGI or strong artificial intelligence). Although narrow artificial intelligence performs better than humans, regardless of a specific task, AGI will perform better than people in almost every cognitive task, such as playing a computer game or solving physical equations.


Financial firms were the first adapters of the host computer, interested in relational databases and the next level of computing power. Artificial Intelligence helps Fintech companies improve productivity and solve human problems. Artificial Intelligence (AI) improves the results by applying the methods derived from the Human Intelligence aspects beyond the human scale. In the last 2 years, the computational arms race has revolutionized FinTech companies.

In the early days of banking, bankers had to establish personal contacts with them to better serve their customers and better manage their relationship with them. However, in today’s technology world, such a connection is almost unnecessary, and these connections are broken. There is no longer bank and customer connection, now there is technology, artificial intelligence and customer connection. Thanks to artificial intelligence technologies, customers have begun to manage their accounts themselves and to advance their basic operations easily. For example, paying bills, making ETFs or making money transfers. It was so effective on the stock market that the papers that were followed from the boards are now tracked over the mobile and ease of operation. Now banks can focus on smarter transactions. For example, loan deposit funds, country growth, personal loans, etc. These data and information are compared and the appropriate services / products that customers want. This essentially means finding what is right for your customers and thus achieving the highest level of customer satisfaction.

With the contribution of artificial intelligence only time was not provided. Thanks to artificial intelligence-based investments in banking, the limitation of the service, which will gradually occur in the growing world, has been prevented. Financial companies that can easily focus on smarter jobs now have low-cost data-driven management decisions, leading to a different type of management, where insurance leaders and future banking representatives ask questions to artificial intelligence systems rather than to human experts. The artificial intelligence system will then analyze the data and find the proposed results that can help leaders and their subordinates make better decisions. Think of a physics rule based on a equation found in thousands of iterations by making a prediction should reach the result. In real life, there are a lot of variables to make these decisions, such as credit debts, current wealth, the number of days of debt payment. Even if this information is gathered and gathered from many different sources by manual methods, thousands of variables can occur and accurate results cannot be achieved without artificial intelligence support.

In fact, artificial intelligence is a catalyst for financial services institutions to develop and deliver technologically progressive products and services. Thanks to artificial intelligence, the number of convenience occurred and the services provided were accelerated. We can understand this by focusing on the change in the best banks. Can we control the artificial intelligence that plays a big role in our lives without us noticing? Can we prevent the infiltration of large sources of information? Are we able to ensure the confidential execution of financial transactions that can be controlled from anywhere in the world, even from space?


In the near term, it encourages research in many areas, from technical and technical issues such as validation, validation, security and control, to the objective of making artificial intelligence’s impact on society useful. Even if your laptop burns or breaks may be a little more than a little annoyance, it’s even more important that an artificial intelligence system does what it wants to do, if your car, plane, heart rate, and auto-process are checked. Your short-term challenge is to prevent a devastating arms race in deadly autonomous weapons. Although it requires significant safety research, artificial intelligence is also involved in finance. ATMs, mobile applications, app store purchase process, cash register, automatic payment systems, mobile assistants, personal documents in areas such as providing access to our lives.

Artificial intelligence supports us in many financial fields; Accurate Decision Making, Automated Customer Support, Insurance Management, Financial Assistance, Financial Services, Asset Management and more. However there comes out a security issue under this topic, because there is a huge data which should be surely protected. (Ten Applications of AI to Fintech, 2018)

Artificial intelligence is a technological advance that requires the protection of information privacy at the highest level. The artificial intelligence, which has become a major partner in the finance world, has also issued an intention to facilitate the monitoring of financial conditions of individuals. Personal wealth, debts, payments and even trading transactions have become very close. This has made life easier as well as increased the importance of cyber security. Considering that the network that artificial intelligence all this information is accessible to everyone, this issue is becoming more and more important.

Artificial Intelligence has the potential to be smarter than any human being, there is no definite way to predict how it will behave. We cannot use past technological developments as a basis, because we have done nothing wilfully or intellectually. The best example of our confrontation is our own evolution. Now people are controlling the planet because we are not the strongest, the fastest or the biggest, because we are the most intelligent. Another threat is the fact that artificial intelligence is not smarter than people, but it will have consequences when used by malicious people.

As in every field, it also has a lot of concerns about the number of artificial intelligence in financial technologies. While our easier life makes us happy, the shortening processes provide us extra time, perhaps the most important information of our lives is being monitored somewhere. In any case, this technological progress is a part of our lives in finance and we have no choice whether or not to accept it. As the scope of artificial intelligence technologies expands, cyber security will continue to gain importance.


Artificial Intelligence And Fintech: Speaking Your [Its] Mind. Mavadiya, Madhvi. 2018. 2018, Forbes.

Ten Applications of AI to Fintech. Hudson, Corbin. 2018. s.l. : Towards Data Science, 2018.

“This paper was prepared as a class work for Financial Technology course given by Prof. Selim YAZICI at Ozyegin University, Graduate School of Business, Financial Engineering and Risk Management Program.”

FinTech'in arkasındaki gerçek katalizör: Yapay Zeka
İstanbul Üniversitesi, Siyasal Bilgiler Fakültesi, İşletme Bölümü öğretim üyesidir. Ayrıca, Marmara Üniversitesi, Bankacılık ve Sigortacılık Enstitüsü'nde, Sigortacılık Bölümü'nde 2009-2016 yılları arasında misafir öğretim üyesi olarak "E-Sigortacılık" dersini vermiştir. 2019 yılından beri misafir öğretim üyesi olarak Özyeğin Üniversitesi, Financial Engineering and Risk Management (FERM) Yüksek Lisans Programı'nda Financial Technologies dersini vermektedir. Teknolojiye ve teknolojinin yaratacağı fırsatlara inanmış bir akademisyen olarak, 2000'li yılların başında, teknolojideki değişimin finansal kuruluşların üretim, pazarlama, satış, dağıtım ve satış sonrası süreçlerinde yaratacağı etkileri ve e-ticaret olanaklarını değerlendiren araştırmalar yapmış ve sigortacılık sektörüne özel bir envanter oluşturmuştur. Bu çalışmaların sonuçlarını, ortak yazar olarak yer aldığı "Elektronik Sigortacılık" (2002) adlı kitabında yayınlamıştır. Daha sonra, finansal hizmetler dünyasındaki teknolojik değişimi ve müşterilerin dijitalleşmesini gözlemleyerek, özellikle bankacılık ve sigortacılık sektöründe dijital dönüşüme yönelik projeler geliştirmiştir. Teknolojinin finansal hizmetler sektöründe kullanımı ve çevik yapılar olan start-upların bu alandaki girişimcilik faaliyetlerini içeren FinTech ve InsurTech konuları ilgi alanını oluşturmaktadır. Girişimcilik, Finansal Teknolojiler, Dijital Sigortacılık, Proje Yönetimi, İş Sürekliliği Yönetimi, İşletme Yönetimi, Uluslararası İşletmecilik ve Örgütsel Davranış konularında dersler vermektedir. Finansal teknolojiler konusunda girişimcilerin ihtiyaç duyabileceği tüm alanları kapsayan ve ülkemizde ilk olarak FinTech İstanbul tarafından gerçekleştirilen "FinTech 101 Eğitim Programı"nın şekillenmesini sağlamıştır. Öğrenen Organizasyonlar (2001), Elektronik Sigortacılık (2002), E-Öğrenme (2004) ve İş Sürekliliği Yönetimi (2013) başlıklı yayınlanmış dört kitabı bulunmaktadır. TSEV ve TSPB'nin eğitmenlerinden olup bankalar ve sigorta şirketleri için çeşitli konularda eğitim programları düzenlemiştir.