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Event Date |
Fri Mar 1 GMT (10 months ago)
In your timezone (EST): Thu Feb 29 7:00pm - Thu Feb 29 7:00pm |
Location |
America Square Conference Centre
17, One Crosswall, America Square, London EC3N 2LB, UK |
Region | EMEA |
As financial institutions strive to meet digital transformation goals and drive closer alignment with the business, keeping up with the latest data management innovations and adoption of cloud, AI and ML technologies that require new approaches and capabilities, is critical for driving innovation and a competitive edge.
Join the leading financial data management conference for sell side and buy side executives in capital markets, to hear from data practitioners and innovators who will share insights into how they are pushing the boundaries with data to deliver value with flexible but resilient data driven strategies.
Topics will include:
• How to achieve successful data transformation for long term business value
• How to capitalise on data migration to the cloud
• How to enable data democratisation with trusted data products
• Managing UK-EU regulatory divergence and meeting requirements across multiple regulatory regimes – the data management response
• The power of automation – how to leverage automation and ML to progress your data analytics capability and get value from unstructured data
• Implementing data fabric for business value creation
• How to set up a robust ESG data framework for compliance and business insight
Who should attend:
If you are any of the following types of roles at a financial institution, or offer products and services in this space, then this event is right for you.
• Heads of Data Management
• Heads of Data Governance
• Heads of Data Quality
• Heads of Regulatory Change
• Chief Risk Officer (CRO)
• Chief Data Officer (CDO)
• Chief Information Officer (CIO)
• Chief Operating Officer (COO)
• Chief Compliance Officer (CCO)
• Chief Technology Officer (CTO)
• Data and Analytics Officer
• Director of IT
• Heads of Data Architecture
• Heads of Client Onboarding
• Heads of Client Data