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Neo4j, The Leader in Graph Databases
Graph Databases for AI in Financial Services
Using data to make the most accurate, advantageous decisions has long been a critical part of any organisation’s business strategy. However, when the amount of data has grown to be almost unmanageable, is kept in multiple silos, and is subject to complex regulation, gaining competitive advantage becomes incredibly difficult.
Combining graph databases and artificial intelligence seems like a way forward. In this webinar, we will take a look at what a graph database is, why it is a key part of a highly connected data world and how you can use technologies & services from Google Cloud and partners to make sense of this huge amount of data.
Nicole Barry from Google Cloud will set the scene for this discussion, and provide context for how they are helping financial services customers,
Dr. Jim Webber from Neo4j will provide an overview of the main advantages of graph databases and their common uses cases for financial services,
Ali Khalili from Deloitte will provide expertise and real-life examples on how graph databases have helped specific customers with complex business decisions.
Customer Engineering Manager - Banking & Payments at Google Cloud
Nicole manages the Customer Engineering team for UKI Banking and Payments. She previously worked as a Customer Engineer specialising in Google Cloud's smart analytics portfolio, helping FSI customers build and migrate big data solutions on GCP.
Chief Science Officer at Neo4j
Jim is Neo4j’s Chief Science Officer and Visiting Professor at Newcastle University. At Neo4j, Jim works on fault-tolerant graph databases and co-wrote O’Reilly’s Graph Databases book. Prior to Neo4j, Jim worked on fault-tolerant distributed systems. First at Newcastle University startup Arjuna and then for a variety of clients for global consulting firm ThoughtWorks. Along the way Jim previously co-authored the books REST in Practice and Developing Enterprise Web Services - An Architect’s Guide.
Financial Risk Analytics & Knowledge Graph Expert at Deloitte
Ali is a Senior Data Engineer and Manager in Financial Risk Analytics & Reporting team of Deloitte Risk Advisory, the Netherlands. He holds a PhD in agile knowledge engineering from university of Leipzig, focusing on various application domains of semantics, Linked Data and graph technologies. He is currently the technical lead for Knowledge Graph offerings at Deloitte Netherlands addressing different business needs of FSI clients from financial and regulatory reporting to risk assessment and data insights generation.
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