National Institute of Banking and Finance (NIBAF) successfully hosted a two-day advanced training program on Artificial Intelligence and Data Analytics, designed to equip professionals with practical skills to enhance decision-making, operational efficiency, and business intelligence across the financial ecosystem. The in-person training took place from October 16 to 17, 2025, at NIBAF’s Karachi campus, bringing together officers from State Bank of Pakistan (SBP), SBP Banking Services Corporation (SBP-BSC), and multiple commercial banks.
The training was conducted under the guidance of Irfan Bakaly, an experienced trainer with extensive expertise in data analytics and AI-driven decision systems. The program focused on equipping participants with the knowledge and technical understanding needed to integrate modern analytical tools and intelligent systems into their financial operations, ultimately enabling institutions to make data-backed strategic choices in a rapidly evolving financial landscape.
The two-day session was structured around the practical application of Artificial Intelligence and data-driven methodologies in the banking and financial services industry. Participants explored how AI can be leveraged to identify patterns, enhance predictive modeling, automate repetitive processes, and support more informed decision-making at both operational and strategic levels.
A major highlight of the training was the emphasis on business intelligence frameworks, which are becoming essential for financial institutions seeking to modernize their internal processes. With the growing complexity of financial products, the rising volume of transactions, and regulatory reporting requirements, adopting AI and analytics-driven solutions can provide a competitive edge.
The trainer introduced participants to advanced analytical tools and techniques, including machine learning applications in fraud detection, credit risk modeling, customer behavior analysis, and process optimization. Practical sessions allowed attendees to engage with real-world case studies, focusing on how financial institutions can use AI models to improve forecasting accuracy, strengthen compliance, and reduce operational costs.
The training also emphasized the importance of data governance and ethical AI usage. Participants discussed best practices for data privacy, secure handling of sensitive financial information, and aligning technological adoption with regulatory requirements to ensure responsible innovation within Pakistan’s financial system.
This initiative reflects NIBAF’s growing role in developing future-ready talent within the banking and financial ecosystem. By introducing specialized training in AI and data analytics, NIBAF aims to support the sector’s digital transformation journey, fostering innovation and operational agility.
Participants acknowledged that as AI continues to reshape industries globally, the banking sector must adopt intelligent tools and frameworks to stay ahead of emerging challenges and opportunities. Such initiatives are expected to strengthen Pakistan’s financial infrastructure and prepare institutions for a more tech-driven future.
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