APAC WEBINAR: Beyond the Balance Sheet | Why Financial Services Must Master Unstructured Data to Win
Fresh perspectives from SIBOS and the front lines of financial data intelligence
ABOUT THE WEBINAR
Financial services has spent decades mastering structured data. Transactions, trade records, balance sheets, customer records and regulatory filings give institutions extraordinary visibility into what happened, when, where and between whom.
But structured data rarely tells the whole story.
The context behind a transaction, decision or relationship often lives elsewhere: in emails, chats, voice recordings, contracts, documents and other forms of unstructured information.
Structured data tells you what happened. Unstructured data can help explain why.
Consider an AML investigation. Transaction monitoring may flag unusual movement of funds, but understanding what sits behind that activity can require investigators to connect transaction data with communications, customer records, documents, relationships and other information.
The same challenge appears across financial services. A surveillance alert may need to be understood alongside trader communications. A KYC or enhanced due diligence review may require teams to uncover relationships hidden across multiple data sources. A fraud investigation may depend on connecting activity with the people, communications and documents surrounding it.
As regulatory scrutiny increases and AI transforms financial crime, compliance and risk, bringing these different sources of intelligence together is becoming increasingly important.
Following our first Unstructured Data Intelligence webinar, Exploring the 90%, this session takes the conversation into financial services and explores what becomes possible when institutions bring structured and unstructured intelligence together.
Join us for a post-SIBOS discussion exploring the concept of Deep Data: combining quantitative precision with the context contained in unstructured information to build a more complete picture of activity, relationships, risk and intent.
WHAT YOU'LL LEARN
- Why structured data alone only tells part of the story
- How unstructured data can provide critical context around AML and transaction monitoring alerts
- How connecting entities, transactions, communications and relationships can support KYC, counterparty risk and financial crime investigations
- How AI-powered unstructured data intelligence can support fraud, communications surveillance, compliance and regulatory response
- Why the quality and connectivity of data matters as financial institutions increase their investment in AI
- Key takeaways from SIBOS and the conversations shaping the future of data and AI in financial services
WHO SHOULD ATTEND
For Chief Compliance Officers, Chief Data Officers, financial crime and AML/KYC professionals, fraud and investigations teams, surveillance and conduct teams, risk leaders, data and technology leaders, and legal and regulatory teams across banking, insurance and capital markets.
ABOUT THE SPEAKERS
Christopher Stephenson, Head of AI Strategy & Operations at Nuix, is a technology leader and entrepreneur with more than 30 years of experience exploring how emerging technologies reshape the way organizations understand and use information. His work focuses on the evolving intersection of AI, data and language, and what it means for the future of decision-making.
Chester Ray, Senior Customer Success Manager at Nuix, is a forensic technology and investigations specialist with extensive experience across financial services, regulatory investigations, communications surveillance, eDiscovery and financial crime. Prior to joining Nuix, Chester spent more than eight years at Deloitte, where he advised global financial institutions on surveillance, forensic technology, investigations and regulatory matters. His work focuses on helping organizations apply technology and data to complex investigative, compliance and risk challenges.
Can't attend live? Register anyway and we'll send you the recording.