FIMA US 2025
April 07 - 08, 2025
Westin Copley Place, Boston MA
FIMA Research Briefs
AI and Machine Learning Data Management StrategiesThis report will look at the timeline and tools that financial institution executives have used in their data practice to drive better ROI and profitability. |
Data Scalability for Effective Cost-Management PracticeLearn how CDOs are establishing sustainable management practices to handle exponentially increasing volumes of data. |
Charts Depicting the Development of Data Lakes and Breaking-Down SilosThe importance of standardizing data so that it can be utilized across the organization has grown within financial data management over the past several years. The ability to harness Big Data in order to gain actionable insights is now transitioning from the goal of several years from now, to something that is currently being worked on. |
Public Data, Private Challenge: Uncovering the Implications of Public Data in KYC and Onboarding for the Buy Side & Sell SideIn order to gain a clearer understanding of how firms on the buy side and sell side use public data to meet challenges presented by Know Your Customer requirements and onboarding with multiple parties, Bloomberg and WBR Insights partnered to survey 279 executive members of the FIMA event database, with 100 representing the buy side and 179 contributing the perspective of the sell side of the financial industry. |
3 Cybersecurity Trends that are Changing Financial Data ManagementThe executives in charge of data practices within financial institutions are responsible for driving a wide range of initiatives, from according with compliance requirements to integrating the means to gain insights from machine learning and AI. |
Aligning Data Strategies with Advanced Business EnablementQuality data is the foundation of successful financial services, and next-generation technologies like AI and machine learning cannot function effectively without it. The next great challenge for data management teams is to achieve data quality that successfully aligns with business objectives, driving technologies and other capabilities that contribute to the bottom line. |
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