How BNY Mellon is Operationalizing Decision Intelligence Across the Enterprise
Artificial intelligence (AI), machine learning (ML), and data science are transforming how enterprises across industries operate. This is especially the case for many businesses in the financial sector. But for some financial institutions, like corporate investment banking company BNY Mellon, digital transformation isn’t a new pursuit. It’s also a continuous process.
BNY Mellon has long been at the forefront of using technology to optimize its operations and innovate products and services. In fact, the bank employs more than 15,000 technologists and developers to support its role in servicing clients in global financial markets. And with more recent tech investments, such as the Quantexa Decision Intelligence (DI) platform, the bank’s leadership aims to create an even more data-driven future for the business – and its customers.
Quantexa CEO Vishal Marria recently caught up with Joe Sieczkowski, Chief Architect and Head of Data at BNY Mellon, to learn how Quantexa’s DI is helping the firm derive the most value from its customer data to deliver the best possible products, services, and experiences for its customers.
In this video, learn how BNY Mellon is:
Deploying solutions like Quantexa that make it easy to explain AI and ML processes and outcomes to regulators and stakeholders
Using Quantexa’s technology for entity resolution and learning more about its customers
Leveraging AI, ML, and data science to generate revenue, enhance prospecting, improve Know Your Customer (KYC) processes, and more
Investing heavily in advanced capabilities like predictive analytics to anticipate customers’ needs and manage risk
