Artificial intelligence as a driver of banking services development: modern approaches, opportunities, and challenges

Mamutova , Aygul

Innovation science and technologiy · 2026-yil

Annotatsiya

Artificial Intelligence (AI) has emerged as one of the most influential technologies driving the digitaltransformation of the global banking industry. Rapid advances in machine learning, deep learning, natural language processing,predictive analytics, and robotic process automation have fundamentally transformed the way financial institutions design,deliver, and manage banking services. Growing customer expectations for personalized, secure, and real-time financial services,combined with increasing competitive pressure and evolving regulatory requirements, have accelerated the integration of AIinto core banking operations. AI-powered solutions are now extensively applied in customer relationship management, creditrisk assessment, fraud detection, anti-money laundering (AML), cybersecurity, investment advisory, financial forecasting, andbusiness process automation. These technologies improve decision-making accuracy, reduce operational costs, enhance servicequality, and strengthen institutional competitiveness.The study evaluates the role of artificial intelligence in the development of modern banking services by examining recenttechnological advances, global implementation trends, and empirical evidence from leading financial institutions. Particularattention is paid to AI-driven improvements in operational efficiency, customer satisfaction, financial risk management, digitalfinancial inclusion, and sustainable financial innovation, while also identifying the key opportunities and challenges associatedwith AI implementation.The research is based on a qualitative approach supported by comparative analysis, a systematic literature review, anddescriptive statistical analysis. Scientific publications indexed in the Scopus and Web of Science databases, together withreports published by McKinsey & Company, Deloitte, IBM, Statista, the World Bank, the International Monetary Fund (IMF),the Organisation for Economic Co-operation and Development (OECD), and the World Economic Forum (WEF), constitute theprimary sources of information. Statistical indicators covering the 2020–2025 period are synthesized to evaluate global trendsin AI investment, adoption rates, and banking performance.The findings demonstrate that AI has become a strategic driver of banking service development. Financial institutionsadopting AI technologies achieve significant improvements in operational efficiency, fraud detection accuracy, customer servicequality, and credit risk management while reducing administrative costs and processing time. Despite these benefits, challengesrelated to cybersecurity, algorithmic transparency, ethical considerations, data governance, and regulatory compliance continueto affect the pace of AI adoption. Sustainable implementation therefore requires advanced technological infrastructure, qualifiedhuman capital, effective governance frameworks, and supportive regulatory policies.

Maqola ma’lumotlari
MualliflarMamutova , Aygul
JurnalInnovation science and technologiy
NashriyotТошкент давлат иқтисодиёт университети
Nashr sanasi2026-06-01
Jild2
Son6
Betlar394-401
TilIngliz
DOI10.5281/zenodo.21176429
Indeksga qo‘shilgan2026-08-26

DOI: 10.5281/zenodo.21176429 · Maqolaning asl sahifasi

Kalit so‘zlar

Artificial Intelligence, Digital Banking, Banking Innovation, Machine Learning, Financial Technology, Customer Experience, Credit Risk Assessment, Fraud Detection, Digital Transformation, Banking Automation

Iqtibos keltirish

APAMamutova , Aygul (2026). ARTIFICIAL INTELLIGENCE AS A DRIVER OF BANKING SERVICES DEVELOPMENT: MODERN APPROACHES, OPPORTUNITIES, AND CHALLENGES. Innovation science and technologiy, 2(6), 394-401. https://doi.org/10.5281/zenodo.21176429
GOST (OAK)Mamutova , Aygul ARTIFICIAL INTELLIGENCE AS A DRIVER OF BANKING SERVICES DEVELOPMENT: MODERN APPROACHES, OPPORTUNITIES, AND CHALLENGES // Innovation science and technologiy. – 2026. – T. 2, № 6. – P. 394-401. – DOI: 10.5281/zenodo.21176429.
MLAMamutova , Aygul. “ARTIFICIAL INTELLIGENCE AS A DRIVER OF BANKING SERVICES DEVELOPMENT: MODERN APPROACHES, OPPORTUNITIES, AND CHALLENGES.” Innovation science and technologiy, 2(6), 394-401, 2026. https://doi.org/10.5281/zenodo.21176429
ChicagoMamutova , Aygul. “ARTIFICIAL INTELLIGENCE AS A DRIVER OF BANKING SERVICES DEVELOPMENT: MODERN APPROACHES, OPPORTUNITIES, AND CHALLENGES.” Innovation science and technologiy, 2(6), 394-401 (2026). https://doi.org/10.5281/zenodo.21176429
HarvardMamutova , Aygul (2026) ‘ARTIFICIAL INTELLIGENCE AS A DRIVER OF BANKING SERVICES DEVELOPMENT: MODERN APPROACHES, OPPORTUNITIES, AND CHALLENGES’, Innovation science and technologiy, 2(6), 394-401. https://doi.org/10.5281/zenodo.21176429
BibTeX
@article{mamutovaaygul2026,
  title = {ARTIFICIAL INTELLIGENCE AS A DRIVER OF BANKING SERVICES DEVELOPMENT: MODERN APPROACHES, OPPORTUNITIES, AND CHALLENGES},
  author = {Mamutova , Aygul},
  journal = {Innovation science and technologiy},
  year = {2026},
  volume = {2},
  number = {6},
  pages = {394-401},
  doi = {10.5281/zenodo.21176429},
  url = {https://doi.org/10.5281/zenodo.21176429}
}

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