@inproceedings{MTMT:34472933,
	title = {Data Management and Enterprise Architectures for Responsible AI Services},
	url = {https://m2.mtmt.hu/api/publication/34472933},
	author = {Pisoni, Galena and Molnár, Bálint},
	booktitle = {Open Science in Engineering},
	doi = {10.1007/978-3-031-42467-0_83},
	unique-id = {34472933},
	abstract = {Big data is becoming a reality. Complex and difficult-to-understand data may be found in a wide range of industries. Big data is a critical component of enterprise services and technology architectures. Data science techniques and methodologies can be applied in many aspects of the working of companies. In this paper, first, as a background, we provide an overview of knowledge management practices and data analysis strategies and techniques in the daily operations of companies working towards development of AI agents. Furthermore, we look at the need in particular companies to develop human centric AI solutions; then, we discuss the basics for cross-disciplinary research, in which we stress the need to rethink development processes of AI services and make them more responsible. Thereby, we define research questions to investigate the problem. As the research proposal discusses, companies and public institutions can create and develop new responsible, ethical, and transparent AI services.},
	year = {2023},
	pages = {879-884},
	orcid-numbers = {Pisoni, Galena/0000-0002-3266-1773; Molnár, Bálint/0000-0001-5015-8883}
}

@article{MTMT:32577546,
	title = {Model to Program and Blockchain Approaches for Business Processes and Workflows in Finance},
	url = {https://m2.mtmt.hu/api/publication/32577546},
	author = {Kherbouche, Meriem and Pisoni, Galena and Molnár, Bálint},
	doi = {10.3390/asi5010010},
	journal-iso = {APPL SYST INNOV},
	journal = {APPLIED SYSTEM INNOVATION},
	volume = {5},
	unique-id = {32577546},
	year = {2022},
	eissn = {2571-5577},
	orcid-numbers = {Pisoni, Galena/0000-0002-3266-1773; Molnár, Bálint/0000-0001-5015-8883}
}

@{MTMT:33205939,
	title = {Mounting Cases of Cyber-Attacks and Digital Payment},
	url = {https://m2.mtmt.hu/api/publication/33205939},
	author = {Verma, Suhasini and Sharma, Jeevesh and Kaushik, Keshav and Vyas, Vidhisha},
	booktitle = {Cybersecurity Issues, Challenges, and Solutions in the Business World},
	doi = {10.4018/978-1-6684-5827-3.ch005},
	unique-id = {33205939},
	abstract = {Digital transformation in financial transactions has changed the method of payment. We have witnessed a many-fold and rapid increase in the digital payment. As more individuals opt for digital payments, the potential of being exposed to cyber-attacks such as online fraud, theft of identity, and spyware or virus attacks is rising. Transaction on digital mode has led to an increase in internet-based crimes known by the term ‘cybercrime'. Cybercrime is an illegal act practiced by hackers on web applications, web browsers, and websites. Secured payment is critical for any company that deals with electronic payments and transactions. One of the most vital issues confronting players in the digital payment ecosystem is cyber security. The growth of such cyber-attacks can be attributed to various reasons, including a lack of knowledge and a poor digital payment infrastructure. To safeguard against threats of cybercrime, there are various cyber security techniques. This chapter deals in understanding the causes, threats, and solutions to cyber-attacks in digital payment methods.},
	year = {2022},
	pages = {59-80},
	orcid-numbers = {Kaushik, Keshav/0000-0003-3777-765X}
}

@inproceedings{MTMT:32923185,
	title = {Review of Data Science and AI in Finance},
	url = {https://m2.mtmt.hu/api/publication/32923185},
	author = {Farooq, Akeel and Chawla, Privanka},
	booktitle = {2021 International Conference on Computing Sciences (ICCS)},
	doi = {10.1109/ICCS54944.2021.00050},
	unique-id = {32923185},
	year = {2021},
	pages = {216-222}
}

@article{MTMT:32239388,
	title = {Data Science for Finance. Best-Suited Methods and Enterprise Architectures},
	url = {https://m2.mtmt.hu/api/publication/32239388},
	author = {Pisoni, Galena and Molnár, Bálint and Tarcsi, Ádám},
	doi = {10.3390/asi4030069},
	journal-iso = {APPL SYST INNOV},
	journal = {APPLIED SYSTEM INNOVATION},
	volume = {4},
	unique-id = {32239388},
	year = {2021},
	eissn = {2571-5577},
	orcid-numbers = {Pisoni, Galena/0000-0002-3266-1773; Molnár, Bálint/0000-0001-5015-8883}
}