ADB Digital seeks out innovative solutions aligned to one or more of the programs below. Each Digital Learning Lab represents a specific track corresponding to a particular emerging technology. Use cases relevant to the ADB context have been highlighted below.
AI will soon be infused in all, if not most, current technology systems. Through AI, ADB can better focus its workforce on more value-adding work.
Potential demand areas include:
cognitive search for patterns in ADB unstructured data;
enhancing the identification of investment opportunities;
monitoring and impact assessment for its projects;
forecasting cash demand for treasury services; and
other opportunities for growth and innovation.
Bots are software that can be easily programmed to do repetitive and routine tasks that humans currently do. They could potentially be adopted for ADB internal processing such as:
managing large sets of accounts and transactions and detecting errors and fraud for accounting and treasury systems;
providing consistent and round-the-clock support for service requests made to the IT Service Desk; and
performing real-time search for adverse news on clients and individuals; and
other opportunities for growth and innovation.
Many financial institutions are trying a smarter approach to compliance by eliminating repetitive manual processes. Services including financial, risk management, payment, loan, and treasury are now moving forward with digital products and services, with advances in financial technology, regulation technology, artificial intelligence, transaction monitoring, and others. Detecting fraud and managing operational, credit, and market risks could also have huge beneficial possibilities with emerging technologies.
This platform would enable ADB to explore opportunities that could lead to infusing innovation into core financial services, enabling:
significant efficiencies to transacting letters of credit;
other opportunities for growth and innovation.
ADB uses large volumes of data, both structured and unstructured, to generate new insights that allow more targeted and more quality development products and services. Big data can also unlock real-time decisions that optimize ADB’s agility and responsiveness to the growing needs and demands of its developing member countries (DMCs).
Potential areas where big data can make a difference include:
detecting errors and fraud for accounting and treasury system;
forecasting cash demand for treasury services;
predicting demand for new development products and services; and
other opportunities for growth and innovation.
