Expand the Aperture of Financial Crimes Risk Detection and Accelerate AI-Powered Business Decisions
Featured Speakers :
Daniel Nagle is RegTech Chief Technology Officer at IBM building industry specific solutions for the financial services sector. A seasoned thought leader that aides in the demo, design, development and delivery of offerings that apply next generation analytics and artificial intelligence technologies used in evolving financial crime solutions for regulatory compliance and fraud. As part of his mandate, Daniel monitors the financial crime industry and global landscape while meeting with business and technology leaders from financial services organizations across the globe to share best practices and help them identify how they can apply analytics and artificial intelligence capabilities to drive new business value while meeting compliance and revenue commitments.
Daniel began his career in the financial services sector ago working in a high paced vendor environment internationally delivering and providing insightful AML and Fraud solutions for the banking sector. Following this, Daniel worked as a key member of the biggest solution revenue generator engine at SAS, the security intelligence practice, a multi-million-dollar business across a diverse ecosystem of different financial and government entities. Prior to this, Daniel had the opportunity to work globally for BAE Systems focused on bringing financial crime solutions to market and delivering intricate client solution architectures for both Norkom and Detica Netreveal. Throughout these roles Daniel supported multiple functions ranging from subject-matter domain expertise, sales, pre-sales support and solution delivery.
Daniel has a Master’s of Science focused on financial crime analytics and a Bachelors degree focused on Computer Engineering with specialization in Artificial Intelligence and Software Engineering. Daniel spent some time pursuing a Ph.D in Software Quality Research.
Starting in M&A 12 years ago, Samantha later held strategic roles at technology firms partnering with Investment Banks working on long-term initiatives in operationalizing data assets and software application at an enterprise level. More recently, her work focused upon combatting the financing of organized crime and terrorism – working with intelligence agencies, governments, regulators and financial institutions.
Samantha currently leads one of Palantir’s largest commercial relationships with a Tier 1 Investment Bank, where a part of the partnership has involved displacing an incumbent AML software provider with Palantir – turning a complex global customer transaction data landscape into human-readable intelligence driving critical workflows across the organization.
Complimentary webinar, presented by IBM
To overcome the limitations of legacy financial crimes management tools in risk detection, banks are now seriously evaluating the application of AI. There are a lot of existing fallacies around the silver bullets AI can bring to magically solve for risk. But most of these innovations live or die on the quality and availability of data to enrich the findings of various analytics.
In this session, experts from IBM and Palantir share how banks can improve risk detection by expanding the available data set with a combination of analytical techniques and enabling AI-powered business decisions.
We will discuss the following challenges and how to address them:
• Deploying models on real data environment in a super regulated environment
• The need for detailed data engineering methods and platforms for entity resolution
• Empowering KYC, AML and Financial Crime SMEs to build their own risk scenarios
• Large-scale data integration and intelligence extraction from large data sets
• Instituting transparency and provenance to meet regulatory needs