Why 2017 is the Year of Instant Payments - and why it matters now!

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.

Machine learning can help process the enormous volume of data that is overwhelming traditional IT security infrastructure and human researchers. It automates and scales cybersecurity to meet these
growing challenges.

Leveraging the capabilities of machine-learning enabled systems is critical for organizations that are highly targeted for cyberattacks. This presentation will examine the benefits machine learning provides to reduce fraud and manage risk.

Data breaches have risen 480% within Financial Services firms in the UK. With the Financial Services industry being plagued by constant risks and regular threats, professionals need to be at the top of their game to thwart criminals.

Join this panel where our experts will discuss:
-What is the current state of Financial Services security?
-How can organisations prevent and detect threats?
-What are the key questions FIs should be asking their security teams?
-Are new regulations doing enough to keep FIs and their customers safe?

With every transaction, merchants are learning more and more about their customers. And with those learnings come data and lots of it - a breach of that payments data is a nightmare for any merchant. Consumers are trusting you with their sensitive data, and losing that trust also equates to lost business. Is security simply a must-do, or can you turn it into a competitive advantage for your business? Listen in to information security and cybersecurity experts in the payments space as they discuss the minimum requirements as well as the next steps you can take to create a better customer experience while maintaining the highest levels of security.

Some questions we'll answer:
- What is the burden on merchants to maintain compliance?
- How are current security measures causing friction in the payments experience?
- What are some tokenization options for merchants?
- What are other measures past the minimum security requirements that will elevate your business?

Moderator to come*
Panelists: Matt McBride, CISO at Modo
John Brown, Solutions Consultant, NS8

Having a great product and a slick marketing campaign isn’t enough anymore.

In the age of Uber and order-ahead, customers crave convenience, and payment options and methods help companies attract and keep customers.

What is your payments strategy?
Does it involve hardware and software?
What can you do to be on the cutting edge in payments to assist with customer retention and increase profits?

Any process and interaction that can be digitised is being digitised - either for customer convenience or, for operational efficiency and costs. But, what happens when every bank and every possible process is digitised. What next? How can banks differentiate themselves? What role can data and AI play in creating value?

In this session, we will hear from industry leaders on their views on this topic and pragmatic recommendations on how to get started on this journey.

Moderated by:
Bharat Bhushan, CTO Banking & Financial Markets, IBM
Panelists:
Marie Measures, CIO, Coventry Building Society
Richard Price, Sales Director, TIBCO
Valentina Kristensen, Director, Growth & Communications, OakNorth
Mitesh Soni, Senior Director - Innovation and Fintech, Finastra

Speakers will present trends in the E-Commerce, Mobile and Cross Border Payment Systems. The speakers will provide examples of these trends and present a view of where the market is going.

At the end of the webinar, the attendees will have be able to assess opportunities in the payments innovation space.

This webinar will explain the 10 principles of Canada’s privacy law, and use some examples to showcase the importance of privacy management in the financial services industry. Project managers of cross-functional team initiatives would benefit from learning the importance of setting up boundaries for disclosing purposes, getting consent, limiting data collection and limiting use.

With sensitive data residing everywhere, organizations becoming more mobile, and the breach epidemic growing, the need for advanced data privacy and security solutions has become even more critical. French regulators cited GDPR in fining Google $57 million and the U.K.'s Information Commissioner's Office is seeking a $230 million fine against British Airways and seeking $124 million from Marriott. Facebook is setting aside $3 billion to cover the costs of a privacy investigation launched by US regulators.

This session will take a practical approach to address guidance and standards from the Federal Financial Institutions Examination Council (FFIEC), EU GDPR, California CCPA, NIST Risk Management Framework, COBIT and the ISO 31000 Risk management Principles and Guidelines.

Learn how new data privacy and security techniques can help with compliance and data breaches, on-premises, and in public and private clouds.

What are the current risks banks are facing regarding financial crimes, and what are the controls that need to be put in place to mitigate those risks? This webinar will take a closer look into best practices that financial institutions can implement to lessen the risk of fraud and protect their customers. You'll discover:

- The security risks and threats that banks and financial institutions are facing in today's technology landscape
- Best practices around KYC (Know Your Customer), CDD (Customer Due Diligence), (Enhanced Due Diligence) EDD and Transactions Monitoring that will strengthen data security and reduce potential for fraud
- And more!

-How to better handle performing client due diligence on an ongoing basis?
-What are the challenges of the traditional AML/KYC procedures?
-What can we expect from the AML Directive that comes into force in June of this year?
-What are the common mistakes FIs make when managing their data?
-How can Machine Learning and automation help?

In the late 1990s, the internet was just emerging as the place to sell things, the video rental market was a $3 Billion dollar market, and the DVD was only used by fringe film enthusiasts. In this environment, Marc Randolph, supplied with startup funding from friends (including Reed Hastings) & family, began building Netflix the company that exploited the convergence of these forces and has become a driving force in our cultural lexicon.

In this interview, Ryan Ross will interview Marc Randolph about starting & growing a lasting company, from inception to IPO.

How to recruit for something that doesn't exist yet
The difference & similarity between starting a company in 2000 and 2020
Marketing concepts consumers don't understand
The right way to brainstorm ideas
How to figure out where the puck is going
How to deal with the emotional burden of responsibility
How to look at failure productively
When to cede power to people with other skill sets
Identifying the important metrics to focus on - even if they are vanity metrics.

Link to "That Will Never Work": https://www.amazon.co.uk/dp/B07QRVWBX2/ref=dp-kindle-redirect?_encoding=UTF8&btkr=1