Hybrid Conferencee

International Conference on Artificial Intelligence in Banking Innovation (ICAIBI - 27)

12th - 13th March 2027 | Manchester, UK
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Expand the Academic Reach of Your Research - a Q1-ranked and Scopus-indexed journal publication opportunity

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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Manchester. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Manchester event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Manchester conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Manchester, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Manchester."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 12
SDG 12 Responsible Consumption and Production
Track 01

AI-Driven Innovations in Banking Operations

This track explores the transformative impact of artificial intelligence on banking operations, focusing on process automation and operational efficiency. Papers should examine case studies and frameworks that highlight successful AI implementations in banking.

Track 02

Predictive Analytics in Financial Services

This session invites research on the application of predictive analytics in enhancing decision-making within financial services. Contributions should address methodologies, tools, and outcomes of predictive modeling in banking.

Track 03

Risk Management Strategies Enhanced by AI

This track focuses on innovative risk management strategies that leverage artificial intelligence to identify, assess, and mitigate risks in banking. Submissions should provide insights into AI tools and their effectiveness in managing financial risks.

Track 04

Customer Experience Transformation through AI

This session examines how artificial intelligence is reshaping customer experiences in the banking sector. Papers should discuss AI applications that enhance customer engagement, satisfaction, and loyalty.

Track 05

Data Analytics for Regulatory Compliance

This track highlights the role of data analytics in ensuring regulatory compliance within the banking industry. Researchers are encouraged to present studies that explore the integration of AI in compliance monitoring and reporting.

Track 06

Fraud Detection Techniques in Banking

This session focuses on advanced fraud detection techniques powered by artificial intelligence and machine learning. Contributions should detail innovative approaches and their effectiveness in combating financial fraud.

Track 07

AI Applications in Banking Strategy Development

This track investigates the integration of AI applications in the formulation of banking strategies. Papers should analyze how AI-driven insights can inform strategic decisions and enhance competitive advantage.

Track 08

Technology Integration for Enhanced Banking Performance

This session explores the challenges and opportunities of technology integration in banking to improve performance metrics. Submissions should focus on case studies that illustrate successful technology adoption and its impact on banking outcomes.

Track 09

Machine Learning in Credit Risk Assessment

This track delves into the application of machine learning techniques in credit risk assessment processes. Researchers are invited to present findings on how these techniques improve accuracy and efficiency in lending decisions.

Track 10

Business Intelligence Solutions for Banking Innovation

This session focuses on the role of business intelligence solutions in driving innovation within the banking sector. Papers should explore how data-driven insights facilitate strategic planning and operational improvements.

Track 11

Future Trends in AI and Banking

This track anticipates future trends and developments in the intersection of artificial intelligence and banking. Contributions should provide forward-looking perspectives on emerging technologies and their potential implications for the banking industry.