ARTIFICIAL INTELLIGENCE IN FINANCIAL SERVICES 2021

• An exploration of what the tech landscape will look like in 5 years including what new innovations we are expecting to see coming in
• Trends in customer demands and how they are likely to develop
• The impact of COVID-19 and the innovations it has fast-tracked
• What we need to invest in now to be ready for the future and avoid being left behind

Provisionally reserved – further details to follow

How a new generation of AI tools enable asset and wealth managers to excel in thematic investing and customer experience with transparent strategies combining quantitative and qualitative insights.  

• Identification of investment targets, benchmarking and adjustment of investment decisions based on higher value, more effective and efficient scoring systems enriching quantitative performance analytics with qualitative insights
• Investment signals identification (speculative and actual, i.e. market consolidation, risk, opportunity)
• Research intelligence on ESG, business model disruption, and technology innovation 

By CID (Speaker to be confirmed)

In this session, our panel will discuss:

• Has COVID encouraged you to make any new digital plans or has it fast-tracked any existing plans?
• Do you think things will go back to normal?
• Are customers using your services differently? How have you had to adapt to different customer needs?
• How do you see AI helping with a COVID or post-COVID world?
• Because of COVID are you building any other extreme contingency risk mitigation strategies into your future plans?

Further panelists welcome – please apply

Apply for one of 5 ‘fast round interview’ spots. Each interview lasts for 5 minutes and all our guests will be interviewed on stage. This will be an unscripted informal session – Be prepared to answer questions along the lines of:

• Introduce yourself – tell us a bit about you and your background
• What do you do?
• Why does our audience need you?
• What’s the most innovative solution you can offer to our audience?
• What do you think is the biggest issue financial companies face right now?
• Why are you better than your rivals?

Companies featured:

Eigen Technologies

&

BAE Systems Applied Intelligence

We welcome Debjani Roy to discuss Barclay’s digital transformation through AI.

• What AI technologies were invested in, including solution providers partnered with
• A discussion on the benefits brought, both to ROI and customer experience
• Lessons learnt from implementation
• A look into the future and further innovation planned

• Where does AI sit in the organizational data strategy
• Creating and implementing AI governance principles
• The importance of detecting and correcting bias at all stages of AI implementation
• A quick dive into the mire of other governance issues, including transparency of models, intellectual property rights and server / cloud locaiton

• Business transformation and innovation through the cloud: Supporting key technologies such as advanced analytics and AI to drive competitiveness
• Buy-in, change management and leadership: Creating and building a cloud centre of excellence
• Managing the data migration process and ensuring quality

• Focusing on how to ensure that your digital and AI models are truly customer-centric and that customer needs are at the heart of all innovations
• COVID and the changing customer; discussing how to ensure your digital technology is still relevant in a disrupted world
• Examining and combatting the potential customer blowbacks. For example, now that customers are more aware they are receiving targeted messages how do we ensure that customers think we are using their data correctly and only sending them meaningful communications?

• As an early adopter of conversational AI in European financial services, Swedbank launched a customer-facing, Intelligent Virtual Assistant in 2014 and has since expanded its chatbot across all digital channels, as well as in the contact centre to help agents manage more complex transactions and improve customer experience
• Hear from Swedbank on lessons learnt from connecting both front-end AI virtual assistant with back end systems, and why it’s critical to a successful digital transformation project
• Learn how Swedbank quickly adjusted to changing customer expectations during a pandemic, automated the Virtual Assistant workflow but left more time for human-to-human contact
• Take a look into the ways in which Swedbank plans to optimize its conversational AI virtual assistant in the future

• Chatbots and voice interface technology has traditionally been targeted at the younger generation but are these the only customers likely to keep using this service?
• COVID has meant that different generations are becoming tech savvy – even grandma can use Zoom – and so chatbot language and interactions also need to change to be relevant to a wider demographic of people
• Ensuring that your chatbot is ready to interact with these older and more vulnerable populations
• The impact of not adapting to changing customer demographics

In this session we welcome Ritesh Jain to discuss how to carefully manage AI deployment in order to ensure business growth and ROI whilst ensuring unintentional damage is not done to customer confidence, employee satisfaction or to your brand.

• How to prioritize explainability and interpretability to ensure customer confidence
• Making responsibility concrete and pervasive at the core of your business
• The risk of implicit bias – how can we avoid building our own biases into ML?

Ensuring your ML models are truly customer-centric – examining how to ensure your AI is making the right decisions for your customers

• Examining how to make your AI fully transparent and ensure you can explain its decisions to your customers
• Answering the hard questions: does the customer know what data you are collecting and why? Would they be happy if they knew? What does the customer want to know about ML and how do we communicate that?

• Exploring the uses of AI in keeping track of and monitoring your teams remotely
• The potential benefits AI can bring to remote teams through identifying and solving staff issues that can be hidden when working remotely
• Ensuring that your WFH army is kept safe from cybercriminals – how can we safely allow remote workers to handle sensitive customer data?
• Exploring the worker of the future – is this WFH trend likely to continue and if so what steps do we need to put into place to ensure continued operational excellence?

This talk will focus on the future of RegTech and how AI and ML can be harnessed to ensure regulatory compliance.

• Examining the challenges surrounding regulatory compliance and how technology fits in
• Case study examples of how ING are implementing successful measures to ensure regulatory compliance

This session will explore the roles AI can play in risk management – from predicting demand to ensuring data privacy to ensuring existing flows run in a more automated way. We will discuss:

• Risk is all about data – Exploring how ML can make sense of this data to ensure risk mitigation
• The other side of the coin: How do we avoid the AI misfiring and becoming a risk in itself?

• How ML can unlock the potential in your data
• Examining how you can develop new business models using data sets
• A quick look at the case studies: for example, if an insurance company can use ML on their data to predict forest fires for example can this be a business opportunity? Can you sell this to the government? What can we learn from this?
• Should we be changing our mindsets so that we recognise we are not selling finance or insurance but insights?

At the AI in Financial Services Conference we present the latest technology companies and start-ups to showcase the solutions they can offer to a range of financial institutions. Now it’s time to reverse the conversation.

Hear from our panel as they debate what they are actually in need of – the business challenges and opportunities they would like to solve together with technology, data and analytics companies and starts ups. Including:

• The issues they want fixing with AI
• What are they looking to invest in?
• How can they differentiate between different vendors?
• Do we even need to work with a vendor partner and what challenges can be best solved in-house

Further panelists welcome – please apply

• Exploring how NLP can add emotion and nuance into conversations
• The impact of COVID in pushing people away from branches and towards remote contact options
• A quick dive into the regulations – how to ensure that your service is globally compliant and able to accurately spot and serve vulnerable and distressed customers

We welcome Matthew Burton from Omilia to present real-life case studies on how AI has been used to save millions for the financial services industry.

He will outline how AI has been used and evaluate the successes – including lessons learnt that can be applied to your business.

With all new technologies, comes the need to ensure we are using it ethically and in a way that can be effectively governed. This session will cover:

• Processing and storing data in a safe way
• Alleviating customer worries (‘please don’t lose my data!’) and ensuring customers can be confident in your AI
• Customers becoming more aware they are receiving things like targeted adverts – so are they happy with how their data is being used? Are we using it ethically – or in ways that customers will perceive as ethical?
• A quick look at the existing regulations, such as GDPR, and examining whether further regulations are likely to be enforced in the future.

We welcome Nils Mork-Ulnes from AIG to discuss the steps they took in their AI journey. Including:

• Designing the model to be personal to their processes and needs
• What areas saw the most tangible benefits and ROI?
• Solution providers partnered with and the benefits this brought
• Lessons learnt from implementation and implications for their business

In this session our panel will discuss the importance of data management and effectively utilising legacy data in new ML processes. The session will include:

• Cleaning and implementing legacy data systems
• An exploration of how to format internal data to a level where it can be hooked up to ML
• Lessons learnt: what could be done differently to ensure a smoother transition to a modern data set

Further panelists welcome – please apply

We welcome Stephen Walker from GlobalData to present his research into how the Financial Industry is adapting to new technologies. Including:

• Who is investing and what are they investing in?
• How are the main players in the financial industry reacting to, and adapting to, COVID-19?
• A review of the main technical themes impacting the industry and a scorecard of how well the main players are reacting to each theme
• Identifying the companies most likely to succeed in a world filled with disruptive threats Don’t miss this talk; it is crucial for the financial industry to understand which technologies cannot be ignored and to understand what their competition is investing in, in order to maximise the potential benefits.

Join this session hosted by Arunita Roy and Melvin Quimis, Machine Learning Specialists from the Bank of England to discuss how innovation can still be pushed forward despite barriers and even in disrupted times.