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International Conference on AI and Machine Learning in Finance and Technology

📅 28–29 Jan 2027 📍 Faisalabad, Pakistan 👤 Standard / Listener

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$150

virtual · $150 in person

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Official invitation letterIssued automatically after registration
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Certificate & digital materialsCertificate, slides and resource materials
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Supporting global researchConnect with researchers across 30+ countries

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Conference session tracks

Key research areas covered across the sessions — tap a track to read more.

This track focuses on the latest advancements in credit risk modelling techniques and methodologies. Researchers are encouraged to present studies that explore the integration of AI and machine learning in enhancing predictive accuracy and risk assessment.

This session aims to delve into the complexities of asset pricing, emphasizing the role of technological innovations. Contributions that analyze the impact of AI on asset valuation and market behavior are particularly welcome.

This track will explore the evolving landscape of project finance, highlighting the intersection of technology and financial structuring. Papers discussing innovative financing models and risk management strategies are encouraged.

This session addresses the methodologies for commodities pricing and risk management in the context of technological advancements. Researchers are invited to present their findings on AI applications in commodities markets.

This track examines the implications of regulatory policies on the banking and finance sectors, particularly in light of technological advancements. Contributions that analyze the effectiveness of current regulations and propose new frameworks are sought.

This session focuses on the unique aspects of Islamic banking and finance, exploring how technology can address traditional challenges. Papers that investigate the role of AI in enhancing Islamic financial products and services are encouraged.

This track explores the influence of artificial intelligence on monetary policy formulation and implementation. Researchers are invited to discuss how AI can improve decision-making processes within central banks.

This session aims to analyze methodologies for assessing bank efficiency and productivity in a rapidly changing financial landscape. Contributions that leverage AI to enhance performance metrics are particularly welcome.

This track addresses the challenges and opportunities faced by international banks in maintaining global financial stability. Papers that examine systemic risk and the role of technology in mitigating crises are encouraged.

This session focuses on the strategic implications of mergers and acquisitions within the banking and finance industries. Contributions that analyze the impact of technological integration on M&A outcomes are sought.

This track explores the intersection of sustainable finance and carbon accounting practices. Researchers are invited to discuss innovative approaches to integrating sustainability into financial reporting and decision-making.