Assoc. Prof. Dr. Boryana Pelova participated in the Banking Today forum organized by Investor.bg. The event took place at the Inter Expo Center in Sofia and brought together established experts from the financial sector.

"What happens in business goes hand in hand with what happens in the academic world", said Assoc. Prof. Dr. Boryana Pelova, Director of the Master's Program "Artificial Intelligence for Business and Finance" at the Faculty of Economics and Business Administration, Sofia University "St. Kliment Ohridski". According to her, the university plays a key role in providing quality not only in practical training but also in the quality of theoretical training, which is currently a key competence in the labour market for good specialists in the field of machine learning and data science.

Assoc. Prof. Dr. Boryana Pelova recalled that artificial intelligence is not a new concept and has been used since the 1950s.

"Artificial intelligence replaces the human factor in routine activities, on the other hand, it is extremely useful in areas where we have large amounts of data of various kinds", she said. Assoc. Prof. Dr. Pelova emphasized the issue of the data used to train algorithms. The more reliable the data, the more reliable artificial intelligence we can use to solve everyday tasks, she added.

Speakers at Banking Today outlined their expectations and challenges related to Bulgaria's adoption of the euro. "The world is moving forward, and we should not resist change. It is clear that whenever changes occur, there are pros and cons, but changes are necessary and must happen," said Assoc. Prof. Dr. Boryana Pelova.

Also participating in the forum were Vladimir Ikonomov, Director of Digital Banking at Fibank, Georgi Penev, Director of Internal Markets and Marketing at Iris Solutions, Velko Kamenov, Director of Credit Risk and Data Analysis at Access Finance, MFG, and Martin Mateev, Founder and CEO of the business finance management platform in Bulgaria - nula.bg. The speakers discussed innovations expected in the financial sector, as well as the role of artificial intelligence and machine learning in the financial sphere.