Deliver the future today with practical lessons from AI’s frontrunners

27 March 2019

The Courthouse Hotel Shoreditch, Old Street, London

TechNOVA: AI in Financial Services brings together top representatives from established businesses, as well as exciting new technological players, from across the financial services. From banks to start-ups and insurers to investors, this conference gathers together the greatest minds to expand understandings of AI, and build practical knowledge on how to develop real, implementable systems.

Don’t miss this fantastic opportunity to explore the everyday implications of AI, discover implementation how-to’s and learn how to adapt your AI strategy to the changing customer.

screen-iconPractical potential of AI

From interacting with customers to streamlining back-of-house – learn the applied solutions to common AI problems and implement within your business

The five stages of AI

Focused stages to provide solutions for problems – including customer engagement, overcoming silos, and data management

More interactive than ever before

From workshops to debates and peer-to-peer discussions to Q&A sessions – we have added more opportunities for you to learn from in-depth discussions

Two (or in fact three) heads are better than one

Bring your colleagues to cover every stage of the event – and get a discount of 15% for groups of three +!

briefcase-imageSuperb networking

Meet the best of the financial services – build concrete relationships with senior leaders from across retail banking, insurance and capital markets

Drive new partnerships

Understand the latest developments in AI to revolutionise your business interactions and develop partnerships for the future

Nordea logo“Interesting look into the current situation of AI in the market”

Head of Automated Remote Customer Experience, Nordea

Starling Bank logo

“A thought-provoking conference that covered the most disruptive technologies and had experts from across the industry share their expertise and insight.”

Chief Platform Officer, Starling Bank

Parcelly logo

“Great industry insights and case studies, leveraging AI, machine learning and blockchain technology.”

Managing Director, Parcelly

Speakers

Lord Clement-Jones, House of Lords, TechNOVA Speaker

Lord Clement-Jones

Chair of the AI Committee, House of Lords

Angel Serrano, Santander, TechNOVA speaker

Angel Serrano

Head of AI, Santander

Henrike Mueller, Financial Conduct Authority, TechNOVA Speaker

Henrike Mueller

Policy Manager, Financial Conduct Authority

Nils Mork-Ulnes, AIG, TechNOVA Speaker

Nils Mork-Ulnes

Head of Strategy – Science, AIG

Maxim Yevdokimov, Tinkoff Bank, TechNOVA Speaker

Maxim Evdokimov

Chief Digital Customer Experience Officer, Tinkoff Bank

Huma Lodhi, Direct Line Group, TechNOVA Speaker

Huma Lodhi

Principal Data Scientist of AI and Machine Learning, Direct Line Group

Peter Jackson Legal & General, TechNOVA Speaker

Peter Jackson

Director – Group Data Scientist, Legal & General

Bas Geerdink, ING, TechNOVA Speaker

Bas Geerdink

Technology Lead - AI & Big Data, ING

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Agenda

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AI in Financial Services Wednesday, 27 March 2019

09.00

Welcome address

09.05

Chair's opening remarks: Sara El-Hanfy, Innovation Technologist - Machine Learning and Data, Innovate UK

09.10

Opening keynote address - A paradigm emerges: the future of data and the UK as a hub for global AI leadership

Session 1

Creating the prime conditions for AI adoption

09.30
Experiences shared

Tracing the AI journey from conceptualisation to implementation

In this session, our speakers will each present case studies of their journeys with AI, detailing the barriers to AI implementation, how these were overcome, and how businesses have adapted their organisational structure to best enable the development of AI.


Angel Serrano, Santander, TechNOVA speaker
Angel Serrano

Head of AI , Santander

09.50

Seeing eye to AI: creating an organisational structure that drives collaboration

  • How can businesses ensure interdepartmental communication to enable AI development?
  • What is the ideal make-up of innovation departments and teams?
  • Vertical and horizontal: maximising opportunities across both sectors and functions
  • Creating a common language and understanding across business and tech

Nils Mork-Ulnes, AIG, TechNOVA Speaker
Nils Mork-Ulnes

Head of Strategy – Science , AIG

10.10

Silos and confusion – identifying and avoiding the key pitfalls in AI implementation


10.30
Panel discussion

Overcoming barriers and priming operations: preparing the organisation for an AI revolution

  • How can areas most ready for AI disruption be identified?
  • Top down or bottom up: what works best?
  • What are the greatest barriers to wide-scale implementation of AI?
  • Convincing your boss: demonstrating ROI and minimising risk
  • Iterative design and failing fast: how can test programmes and pilots be best utilised?
  • How can the workforce be best prepared to work alongside AI?
  • Accessing the data for AI to learn: are ‘data trusts’ the solution?
  • Reforming data structures: how can the legacy systems most effectively be addressed?

Angel Serrano, Santander, TechNOVA speaker
Angel Serrano

Head of AI , Santander

Nils Mork-Ulnes, AIG, TechNOVA Speaker
Nils Mork-Ulnes

Head of Strategy – Science , AIG

11.00

Refreshments

Session 2

Crimson Stage: Benefiting the customer | Scarlet Stage: Streamlining operations

Crimson stage: Benefiting the customer
Scarlet stage: Streamlining operations
11.30
Case study | Tinkoff Bank

Money simplified: utilising AI systems to provide a customer-centric service

The deluge of data combined with AI’s powerful and analytical capabilities is creating opportunities to deliver supreme personalisation across all areas of money management. Maxim Evokimov will describe how Tinkoff has effectively utilised AI systems to become the leader in online banking in Russia, and has developed innovative voice technology to benefit their customers.


Maxim Yevdokimov, Tinkoff Bank, TechNOVA Speaker
Maxim Evdokimov

Chief Digital Customer Experience Officer , Tinkoff Bank

11.45
Case study : Friendsurance

Back to basics: combining the complexity of AI with simple principles of insurance

AI systems are complex, but they can be effectively utilised to build a system that reflects the social side of insurance, creates rewards for customers and builds loyalty. Sebastian will demonstrate how Friendsurance are revolutionising the industry by going back to the basic ideals of insurance – alongside a revolutionary AI led digital platform.


Sebastian Herfurth, Friendsurance, TechNOVA Speaker
Sebastian Herfurth

Co-founder and Chief Executive Officer , Friendsurance

12.00
Case study 

Enhancing customer experience with the latest AI technology


12.15
Case study 

Bringing voice-technology to the forefront of your business

First mobiles changed how we interact. Now voice technology is changing the future of our interactions. Find out how you can develop voice technology that will launch your business operations into the future.


12.35
Panel discussion

Delivering the perfect AI-driven experience: understanding what’s possible today and tomorrow

  • Possibilities and limitations: gauging the state of current technological maturity
  • Building on customer insight: what services do customers really want?
  • Beyond the chatbot: can AI deliver human-like interactions?
  • How are virtual personal assistants set to evolve? Are they the channel of the future?
  • How could voice technology be used to better engage customers?
  • Finance as a passive service: evolving robo-advice to robo-control
  • What will the ideal financial services experience look like to the customer of 2025?

Maxim Yevdokimov, Tinkoff Bank, TechNOVA Speaker
Maxim Evdokimov

Chief Digital Customer Experience Officer , Tinkoff Bank

Sebastian Herfurth, Friendsurance, TechNOVA Speaker
Sebastian Herfurth

Co-founder and Chief Executive Officer , Friendsurance

Adrian Boal, Pockit, TechNOVA Speaker
Adrian Boal

Head of Customer Operations , Pockit

11.30
Case study | Exo Investing

Creating fully autonomous systems: towards total automation

Exo Investing’s operational infrastructure is built with AI at the centre. The business’s response to any customer input or request is fully automated. Lennart Asshoff will describe the challenges of creating fully autonomous AI-enabled systems and of getting them to work successfully together.


Lennart Asshof, Exo Investing, TechNOVA Speaker
Lennart Asshoff

Chief Executive Officer , Exo Investing

11.45
Case study | ING

Building an architecture for AI technology

ING are utilising AI technology to build products that serve their customers – and streamline back-office organisations. Bas Geerdink will discuss how and why ING have developed an AI strategy, as well as demonstrating the technology and architecture that has built their success – and kept staff in all corners of the business up-to-date with the latest technology and developments.


Bas Geerdink, ING, TechNOVA Speaker
Bas Geerdink

Technology Lead - AI & Big Data , ING

12.00
Case study | Rainbird.AI

Amplify your workforce with AI technology


Senior Representative

, Rainbird.ai

12.15
Case study | Topdanmark

Utilising AI to improve operations

After identifying areas that could in theory be easily improved with AI, Topdanmark began utilising AI to drive operational improvement. Stig Pederson will describe the problems that emerged with utilising AI in production environments, detail how these were overcome, and discuss how AI can improve operations across a company.


Stig Pederson, TopDanmark, TechNOVA Speaker
Stig Pedersen

Head of Group Machine Learning & Group RPA , Topdanmark

12.35
Panel discussion

Enabling artificially-intelligent operations: finding opportunities and building on successes

  • How can AI help to identify the areas most in need of operational overhaul?
  • What systems and functions can be most rapidly streamlined with AI?
  • Choosing battles: understanding where current AI technology may fall short
  • Understanding your successes as thoroughly as your failures
  • Ears on the ground: staff feedback as valued input
  • From small beginnings: how can initial successes be rolled out at scale?
  • An autonomous future: envisioning the evolution of AI driven operations

Stig Pederson, TopDanmark, TechNOVA Speaker
Stig Pedersen

Head of Group Machine Learning & Group RPA , Topdanmark

Lennart Asshof, Exo Investing, TechNOVA Speaker
Lennart Asshoff

Chief Executive Officer , Exo Investing

Bas Geerdink, ING, TechNOVA Speaker
Bas Geerdink

Technology Lead - AI & Big Data , ING

13.05

Lunch

Session 3

Crimson Stage: Data best practice | Scarlet Stage: Risk, accountability and ethics | Magenta Stage: Workshops, debate & lightning pitches

Crimson stage: Data best practice
Scarlet stage: Risk, accountability and ethics
Magenta stage: Workshops, debate & lightning pitches
14.20

Utilising a world of new data sources

  • How can you ensure new data sources tell you more than you already know?
  • Getting to grips with unstructured data sources: voice, audio and beyond
  • To what extent is drawing on open data useful?
  • When does the cost of data outweigh the benefits of AI optimisation?

14.40

Data as the backbone of AI: creating the right systems

  • How must data be structured to allow AI to thrive?
  • Avoiding silos: creating systems that communicate
  • Unlocking the trove of legacy data: defining and refining
  • To what extent is cloud technology the solution to slow processing times?

Huma Lodhi, Direct Line Group, TechNOVA Speaker
Huma Lodhi

Principal Data Scientist of AI and Machine Learning , Direct Line Group

15.00

AI in data security: threats and opportunities

  • How will AI change the current security landscape?
  • Taking on the intelligent machine: understanding the dangers of AI-enabled cyber attacks
  • Holding the line: what are the best safeguards for security threats?
  • Understanding the need for a continuously optimising security system

Peter Jackson Legal & General, TechNOVA Speaker
Peter Jackson

Director – Group Data Scientist , Legal & General

15.20

Building a data future


15.40
Panel discussion

Defining your data strategy

  • How can you create the best data ecosystem to allow AI to learn?
  • Where to invest: deciding which new data sources will be the most useful
  • Matching the data set to the required insight: understanding the needs of your AI
  • Autonomous growth: how can you enable AI to source the data it needs?
  • What impact could future data regulation have and how should organisations prepare?
  • How are customers likely to manage their personal data?

Peter Jackson Legal & General, TechNOVA Speaker
Peter Jackson

Director – Group Data Scientist , Legal & General

Huma Lodhi, Direct Line Group, TechNOVA Speaker
Huma Lodhi

Principal Data Scientist of AI and Machine Learning , Direct Line Group

14.20
Panel discussion

Algorithms, accountability and explainability: who is responsible for AI?

  • Exploring the current regulatory and legal frameworks
  • What are the ethical considerations for responsible AI deployment?
  • How are regulators and policy makers responding to the AI-dynamic?
  • Good AI governance and risk management: how do we make this work?
  • Solving the ‘explainability’ paradox
  • How does GDPR impact our ability to utilise AI?
  • Consumer protection: overcoming concerns and positioning AI as a force for good

Wincie Wong, RBS, TechNOVA Speaker
Wincie Wong

Head of Innovation for Supply Chain Services , Royal Bank of Scotland

Nick Skinner, Northern Trust, TechNOVA Speaker
Nick Skinner

SVP Market Advocacy & Research , Northern Trust

David Ostojitsch, AFME, TechNOVA Speaker
David Ostojitsch

Director, Technology & Operations , AFME

15.00

Understanding and managing the risks of biased AI

  • What are the risks a biased AI could bring?
  • Cracks in foundations: understanding that bias is built into all data sets
  • How can bias arise from anonymised data sets?
  • Is continual testing the only way to ensure AI is unbiased?

15.00

Understanding and managing the risks of biased AI

  • What are the risks a biased AI could bring?
  • Cracks in foundations: understanding that bias is built into all data sets
  • How can bias arise from anonymised data sets?
  • Is continual testing the only way to ensure AI is unbiased?

Anna Metsaranta, Innovate UK, TechNOVA Speaker
Sara El-Hanfy

Innovation Technologist – Machine Learning & Data , Innovate UK

15.20

Avoiding regulatory pitfalls: understanding how to build compliant AI


15.40
Peer to Peer

Delegates will now have a certain period of time to discuss how transparency and accountability can best be created around AI.  Our speakers will then form a panel to which delegates will feedback the conclusions of their discussions for comment.


14.20

Building your blueprints

In this session, our expert Martin Thorn will be leading a focused workshop on the most effective ways to implement AI in your business and strategies for overcoming the obstacles that you will face. Martin will set the scene with a presentation before breaking out into smaller discussion groups.

 From prototype to production: introducing AI to your business

  • Overcoming the challenges to implementation
  • Starting the conversation between teams
  • Building confidence in new technology solutions
  • Creating the 21st century team

Martin Thorn, CYBG, TechNOVA Speaker
Martin Thorn

Senior Manager – Decisioning, Analytics & AI , CYBG

14.40
Workshop

Transforming your business for AI

Discuss how your business can be transformed through initiatives to get all teams on board with new tech, to expand small initiatives into company-wide processes and effectively integrate AI across teams.


15.15

Ahead of the curve: keeping up with innovative disruption

  • New apps on the bloc: how challengers are centering their proposition on problem solving
  • How do you identify the areas primed for innovation?
  • How do you target AI systems to benefit your customers, and your business

Eleanor Sharman, Pockit, TechNOVA Speaker
Eleanor Sharman

Brand & Social Impact Manager , Pockit

15.25
Lightning pitches

Innovative financial services start-ups that have built their solution using AI will have the opportunity to showcase their propositions in a bid to be crowned ‘Most Promising AI Start-Up’. Each will have 5 minutes to present to the room and take questions.


Pitch 1 | InsureBot

 


Raffael Maiani, Insurebot, TechNOVA Speaker
Raffael Maiani

Chairman and CEO , Insurebot

16.10

Refreshments

Session 4

An outlook on the transformational power of AI

16.40

Envisioning tomorrow – how will AI shape the future of financial services?


17.00
An interview

Ethical AI; building a future without bias and intractability

In this session Lord Clement-Jones, the Chairman of the House of Lords Committee on AI, will discuss the ethical questions surrounding AI, and the importance of these questions in the future of AI systems.


Lord Clement-Jones, House of Lords, TechNOVA Speaker
Lord Clement-Jones

Chair of the AI Committee , House of Lords

17.20
In conversation

New era of protection: the future of financial regulation in the world of AI

In this session, our speakers will discuss with one another the regulatory safeguards that will be required as consumers relinquish more and more of their financial decision making to AI.


Henrike Mueller, Financial Conduct Authority, TechNOVA Speaker
Henrike Mueller

Policy Manager , Financial Conduct Authority

Steve Tigar, MoneyDashboard, TechNOVA Speaker
Steve Tigar

Chief Executive Officer , MoneyDashboard

17.40
Closing keynote address

Assessing the transformational power of AI: envisaging the future of the financial services


18.00

Chair’s closing remarks and drinks reception


Who could you meet?

Our 2018 event brought together the top dogs in the banking industry, across insurers, capital markets and retail banking. You can find a sample of those companies below.

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1 day conference pass, lunch & refreshments and a drinks reception

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