At Neo4j we believe that ‘Graphs Are Everywhere’. In this session, we’ll be looking specifically at graphs within the Financial Services industry. We’ll review the types of data that are typically available within a bank, illustrate the graphs can be formed from that data, and discuss the use cases that those graphs can enable and support.
The use cases presented will include Anti-Money Laundering and Fraud Detection and Prevention (including integration with AI and Machine Learning technologies), Regulatory Compliance (such as BCBS 239 and GDPR), Customer 360 View, Master Data Management, and Identity and Access Management.
Many players in the Financial Services industry already rely on Neo4j's graph database: such as Lending Club, the world's largest microservices credit marketplace, for Network and IT, the big German insurance company die Bayerische for graph-based search,
Originally from the USA but now living in the UK, Joe has over 20 years of varied experience in the IT industry across a number of domains and specialties. Most recently, Joe has focused on technical pre-sales and solution architecture in the data and analytics space. When not geeking out over data and technology he enjoys camping, tending to his garden and allotment, reading, and playing boardgames and RPGs. He also bakes a mean cheesecake.
Nav Mathur is the Senior Director of Global Solutions at Neo. He is responsible for solutions development and Go-To-Market activities for Solutions. Nav is seasoned in business development and brings over 20+ years of experience in consulting focused on Strategy, Planning and Transformational Business & IT Solutions.
Nav has a Masters degree in Software Engineering from Boston University and a Bachelors degree in Computer Engineering. He has also completed an executive management course from Babson College.
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