Learning from Evaluation

ADB conducts evaluation work to ensure accountability, promote learning, and maximize development effectiveness. This presentation examines how ADB can better integrate artificial intelligence in its operations. It also explores Watson, a technology that can help ADB ingest thousands of documents and unstructured data, e.g., ADB project completion reports.

Marc Lepage

Marc has worked in the knowledge and technology innovation for development context since 1998.

Marc currently works at the Asian Development Bank (ADB) as Principal IT specialist (technology innovation), based at ADB headquarter in Manila, Philippines.

Marc advises and supports ADB with its 2030 digital agenda, by designing and implementing ADB’s digital sandboxes programme, an initiative aiming at using emerging digital technologies like artificial intelligence, blockchain and robotics to future-proof ADB and support its transformation into an agile organization.

Ozzeir Khan

Ozzeir Khan is the Director of the Office of Business Relationships and IT Strategy for Digital Innovation within Asian Development Bank. He is currently also heading the ADB Digital Innovation Sandbox Program.

He has worked for United Nations and global financial banking services sector in Asia, Europe, and the USA.

Modeling and Simulations to Investigate Congestion on Subway Systems

Professors Erika Legara and Christopher Monterola presented on leading research led by the Institute of High Performance Computing in the Agency for Science, Technology, and Research (A*STAR) in Singapore on use of big data to create simulations for the Singapore Rapid Transit System aimed to assess cost and convenience in the management of their transport systems. These models were used widely for scenario planning and disruption management, and were the basis of transport-related policy proposals of government.

Artificial Intelligence for Financial Consumer Complaints Automation and Analysis in the Philippines

Bangko Sentral's Financial Consumer Protection Department (FCPD) is mandated to provide an effective redress mechanism to financial consumers who feel they have been aggrieved by a BSFI’s conduct, products, and services. To accommodate more consumers, especially those who have no access to the Internet, FCPD, has been developing an AI-based platform that will provide better access for complainants across the Philippines and social classes.