BNY Mellon Data and Analytics Solutions' clients will now be able to unlock better insights from their data through the power of natural language generation
BNY Mellon Data and Analytics Solutions’ clients will now be able to unlock better insights from their data through the power of natural language generation. (Credit: PRNewsfoto/Arria NLG)
Arria NLG, a leading provider of Natural Language Generation (NLG) technology, today announced a collaboration with The Bank of New York Mellon Corporation (“BNY Mellon”) to help asset managers and asset owners transform data into actionable analytics. BNY Mellon Data and Analytics Solutions’ clients will now be able to unlock better insights from their data through the power of natural language generation.
“Our natural language artificial intelligence technology helps generate automated, real-time insights and narratives in plain, easy-to-understand language directly from data,” said Sharon Daniels, CEO Arria NLG. “We are pleased to accelerate speed to new potential sources of untapped alpha for BNY Mellon Data and Analytics Solutions’ clients to help them make better informed investment decisions and more effectively grow assets.”
BNY Mellon Data and Analytics Solutions’ clients can now take advantage of Arria’s sophisticated natural language generation capabilities integrated with the Eagle Performance and Data Management solutions suite. Arria NLG combined with BNY Mellon’s financial technology experience will help clients to accelerate their data analysis and translate data into language and insights across investment data categories, including portfolio management, performance measurement and attribution analysis.
“We are excited to offer Arria’s NLG capabilities inside our leading platform to help clients meet compliance needs while responding to constant market and regulatory changes,” said Charles Teschner, Global Head of Data and Analytics Solutions, BNY Mellon. “This collaboration helps our clients to generate consistent bias-free professional commentary, scale their data reporting operations and significantly reduce the time and effort in analyzing large volumes of data.”
Source: Company Press Release