AI in Finance: AI in regulatory compliance, risk management, and auditing

In this one-hour presentation, I will give a nontechnical overview of the Libra proposal by Facebook, followed by Q&A.

Join this BrightTALK interview where we sit with Jack Cully from Monzo who will discuss:

-How is Monzo "building by listening"
-Monzo's early approach to building business accounts
-SMEs don’t belong in one big bucket: an analysis of the current landscape and how Monzo envisions it moving forward
-A sneak peek into some of the upcoming Monzo features for business banking

Trust in your financial services provider is an incredible asset to have. Many banks capitalise on having legacy brands that make customers feel secure and ultimately, loyal.

Join this panel where our experts will discuss:
-What are some of the challenges new FinTech challengers face when it comes to customer adoption?
-How can banks keep their customers happy and deploy new services that fit their needs?
-How can banks and FinTech companies truly collaborate and make the most out of new regulations like Open Banking to foster innovation?
-How can new trends in identity verification and management ensure a more secure and trustworthy experience?
-How can improved identity services improve the onboarding process?

According to McKinsey, AI will trigger an estimated $13 trillion of GDP growth between now and 2030. How can the wealth management industry capitalize on the latest artificial intelligence advancements to stay ahead of the technological curve, thereby both driving down long term costs and increasing overall productivity?

Through the use of CogniCor’s CIRA platform, wealth management firms can create and maintain their own virtual assistants (VAs) which through the use of workflows can automate complex tasks for both financial advisors and their customers. Through the rapid ingestion of vast amounts of data, the virtual assistant allows financial advisors to interact more on a personal level with their clients, thereby helping them to reach their wealth management goals more effectively.

The time that an advisor spends should be focused on working with their clients. By automating standard operations, advisors can focus on improving their clients’ portfolios, understanding their goals, and ultimately maximizing their short, medium and long term potential for growth.

Many financial advisors and wealth management firms are still unaware of how technology enhances financial advisors’ performance. CogniCor is poised to be a leader in the industry, and look forward to bringing our experience with enterprise leaders to the rest of the industry players, be they small, medium or enterprise firms.

This webinar shows the amazing potential for how data analytics and AI can power a new suite of FinServ consumer and commercial products and services.

Creating new financial services products categories is critical for forging a deeper level of mutual trust, AI and data analytics vision and tools of DelightMe services. These will wow customers and proactively deliver instant and long term value.

According to Capgemini’s World Payments Report 2017, global digital payments are expected to rise to roughly 726 billion transactions in 2020. The growth of digital financial services offers innumerable opportunities, expanding access to financial services products and allowing for essentially instantaneous feedback loops. With these opportunities, however, also come risks, including fraud. The threat of fraud requires financial services organizations to act proactively to minimize losses due to fraud. Analysis of data surrounding their customers and transactions is an essential effort to ensure the benefits of the digital payments space continue to outweigh the risks.

In this webinar, Kayla Hartman will discuss the various ways data is used in fraud prevention. As a Data Analyst at Alloy, a fintech company that provides identity verification APIs for clients’ KYC (know your customer) and AML (anti-money laundering), she has firsthand experience in enhancing fraud prevention efforts through data analysis. She will dive into the ways the use of data is currently advantageous to fraud prevention, as well as the challenges that are presented in this quickly changing space.

Like many of today’s leading-edge businesses, financial services companies are using big data and analytics to improve their own outcomes, and those of their clients. By leveraging both proprietary and public information, banks and insurance companies are better able to create personalized offers and service for each client, based on that customer’s specific needs and value to the business. They are also leveraging advanced analytics to identify key trends in the industry, shape future products and services and manage increasingly complex compliance requirements and regulations across the world. Leading-edge organizations are even starting to use artificial intelligence and machine learning tools to automate routine processes, increase employee productivity and deliver fast, customized customer experiences on the fly.

Join us for an in-depth look at what you need to do to get started, as well as how to prepare to compete in an increasingly data-driven marketplace today and well into the future.

This panel discussion will address:

- Why financial service companies are doing this now
- Tools involved
- Is this just about the customer experience? What other areas of the business can benefit?
- Highlights for both banking and insurance
- Top challenges to success

Data Analytics plays a key role for Financial Services organizations to support decision-making processes, keep customers’ investments safe and to drive innovative solutions.

In this session we’ll share our recommendations for analysis and visualization best practices and for building analytics communities. We’ll also focus on how a sound and holistic approach to analytics can help you improve your customer experience, reduce the risk of fraud and stay ahead of the competition.

For years, banks have been sitting on a goldmine of customer data. Only recently have they started exploiting that, although not surprisingly for their own benefit.

Personal data can give great insights to drive bank outcomes by decreasing credit losses and reducing fraud losses. In this webinar Paul Clark, CTO, will look at how we can use customer data to;

* Drive customer’s own advantage,
* Avoid slip ups,
* Dodge nasty charges,
* Optimise the customer’s finances end to end.

We will look at the background of existing incumbent systems and rule-based infrastructure now operating in Banks, and establish why the use of Machine Learning and AI helps alleviate 20% of cost and increase customer satisfaction while protecting the transaction and networks of the bank from intrusion. Also, the new device and contextual Big Data services of Cybertonica will be described. In the end, we need to see how security and customer convenience can be optimised while reducing cost and friction in the banks systems.

Joshua Bower-Saul has 20 years experience in managing tech companies and startups. He is the founder of 4 businesses in online funding, media and FinTech. Joshua is a graduate of Harvard (MA) and INSEAD (MBA). He speaks fluent Russian, French and German.

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

The session will explore the role of AI and big data in improving risk management and building business resilience in Financial Services.

In this webinar, you will get a broader perspective into emerging (also referred as non-financial or Environment, Social and Governance (ESG)) risks in Financial Services. Finally you will be walked through a case study with a leading bank on their use of AI to future-proof their organization.

There are three pillars to control in a data rich, regulated company – these are what data you have, what it is being used for and who is using it. These pillars have nuances as well, for example where is the person, the data or the process and how old is the data. In the current data climate, it is normal for a company to have a policy to tell people (customers as well as staff) the rules of the road for accessing information. Enshrining this policy into the fabric of the organisation so that people do not have to think about it as well as satisfying the current trend of DevOps is the key to allowing a fast iteration culture, delivering value without creating more overheads.

About the speaker:

Co-founder, Philip Dutton, has led Solidatus from concept through to launch and now accelerated growth. Working to help organisations utilise visual lineage to enable understanding and simplification of complex systems landscapes, demonstrate regulatory lineage, improve governance and assist with transformational change. With 20 years of experience as a Senior System Architect, Engineer and Project Manager within the Financial Services industry, Philip’s expertise focuses on global transformational change projects within global organisations. Passionate about revolutionising the data economy and helping companies become proactive instead of reactive.