Video interview: Capital Market Report -- How FinTech can Improve ROE

With the rise of mobile and social technologies, customers are more knowledgeable and empowered than ever before. Their ability to access and share information gives them enormous control—and they know it.

As a result, they expect data-driven, personalized interactions at every stage of the customer experience. Frost & Sullivan research shows that one of the clearest trends in customer engagement is the shift from traditional to digital interactions. Buyers like self-service, automated channels because they want easy access to information, on their time line, from anywhere. At the same time, agents want to discard the routine tasks that lower job satisfaction and lead to boredom and churn.

AI and ML help companies leverage real-time and historical information to deliver a contextual, relevant and highly personal customer experience while improving agent morale. This webinar will show you how.

Join our live webinar to learn which elements of AI are driving value for risk and compliance? (i.e. ML, NLP, RPA). Also learn about AI in practice - how regulated financial institutions are utilizing AI today, why
why AI is the only answer to addressing big data compliance challenges, at scale. We will also go over what happened when RegTech met SupTech – how are regulators are applying AI to ease and accelerate compliance processes.

There’s much hype and excitement around how AI and machine learning could transform the world of finance. But a key area of development growing behind the scenes of talking robots and automated assistants is how these new technologies will have a seismic impact on Anti-Money Laundering (AML) and Counter-terror Financing (CTF) back-end compliance processes. AI can dramatically improve AML risk data collection; spotting new risks faster and digging deeper for hidden risks.

It will also shift customer onboarding & KYC processes from ‘name matching’ to contextual ‘identity matching’ to reduce false positives and false negatives. Unlike other industries, the training data required to make this a reality with machine learning techniques are available today.

AI-driven compliance will ultimately have an enormous impact on how financial services will work - increasing automation, reducing manual overheads and helping prevent financial crime.


Presented by Charles Delingpole, CEO & Founder ComplyAdvantage

Charles Delingpole founded ComplyAdvantage in 2014, and as CEO leads the product development and growth of the company. Charles set up his first company, The Student Room Group, now the world’s largest student discussion forum, when he was 16. After completing his MA in Politics at Trinity College Cambridge, and then an MSc in Management, Strategy and Finance from the LSE, he became an associate at J.P. Morgan Cazenove. He then went on to co-found FinTech firm MarketInvoice, a peer -to - peer financing company which uses customer data to digitise the approach to financial risk analysis.

Legislation is placing an increasing burden on the financial services industry both to know its customers and to minimise personal data held. How do providers resolve that apparent contradiction and ensure that their accounts are safe, both for consumers and businesses? What are the key approaches and how can financial service providers keep up with the rate of technological progress and criminals?

With large-scale data breaches in the news almost every month, financial institutions are becoming increasingly vulnerable to synthetic identity fraud, account takeovers and other types of malicious activity.

Fraudsters today have access to powerful computing resources and tools, giving them the ability to launch large-scale sophisticated attacks. This has led to an increasing number of businesses turning to more advanced methods for identifying suspicious activity and mitigating risk.

Tune into this session to learn about new fraud trends and to also find out how AI and big data technology can be applied to uncover new fraud patterns early before they have time to do serious damage.