How do financial leaders manage increasing data complexity?

Bloomberg Professional Services

Managing and normalizing large datasets is a growing challenge for financial institutions. As data complexity grows, how are investment firms efficiently integrating diverse datasets to unlock value? What are the top priorities in dataset acquisition, and how can technologies such as Gen-AI and cloud solutions be leveraged to drive business outcomes? 

During Bloomberg’s 2024 Enterprise Data & Tech Summit in New York, Leila Sadiq, Global Head of Enterprise Data Content at Bloomberg, discussed with Kim Prado, CIO, US Capital Markets, Head Investments & Corporate Banking, and Office of the COO at BMO, and Albert Obeng, Head of Technology, Private Alternatives at Alliance Bernstein, on how firms are navigating through large amounts of data to determine which datasets to acquire and integrate into their systems, and how new technologies are helping them manage “data deluge”. 

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