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

27 March 2019

The Courthouse Hotel Shoreditch, Old Street, London

From banks to start-ups and insurers to investors, TechNOVA: AI in Financial Services will gather 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.

An AI culture

HSBC, AIG, Santander, Lloyd’s of London and M&G Prudential will discuss how they have introduced AI into their business, and how they have adapted business culture to allow AI to thrive

Data focus

At the heart of AI is data – learn how to effectively utilise data to build the best AI systems and protect your business

A risk ethic?

Understand the risks associated with AI and the ethical implications of introducing AI from RBS, Northern Trust, AFME and the all-party parliamentary committee on AI to ensure your AI performs

Customer-facing AI

With case studies including Tinkoff Bank and Friendsurance, learn the different methods to effectively build AI into your customer interface

Creating an AI office

Autonomous systems can revolutionise your business – discover how ING, EXO Investing and Topdanmark have utilised AI to streamline operations and improve office efficiency

Regulatory hurdles

Stay ahead of regulation to ensure your AI does not meet legal problems, and save your financial future

Speakers

Bishop of Oxford Steven Croft, House of Lords, TechNOVA Speaker

Bishop of Oxford Steven Croft

All Party Committee on AI and House of Lords AI Committee, House of Lords

Pips Bunce, Credit Suisse, TechNOVA Speaker

Pips Bunce

Director: Head of Global Markets Technology Core Engineering Strategic Programs, Credit Suisse

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

Janet Adams, TSB, TechNOVA Speaker

Janet Adams

Head of AI, TSB

Nils Mork-Ulnes, AIG, TechNOVA Speaker

Nils Mork-Ulnes

Head of Strategy – Science, AIG

Maxim Evdokimov, 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

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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 - Janet Adams, Head of AI, TSB

Session 1

Creating the prime conditions for AI adoption

09.30
Panel discussion

Tracing the AI journey from conceptualisation to implementation

  • 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?
  • How can barriers to implementation be overcome?
  • How can the workforce be best prepared to work alongside AI?
  • Accessing the data for AI to learn: are ‘data trusts’ the solution?

Angel Serrano, Santander, TechNOVA speaker
Angel Serrano

Head of AI , Santander

Craig Civil, Lloyd's of London, TechNOVA Speaker
Craig Civil

Head of Innovation , Lloyd’s of London

Priyank Patwa, M&G Prudential, TechNOVA Speaker
Priyank Patwa

Head of AI and Machine Learning , M&G Prudential

Rakhee Ojah-Maharaj, HSBC, TechNOVA Speaker
Rakhee Ojah-Maharaj

Product Owner: Corporate and Institutional Digital Transformation , HSBC

10.00

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


Senior Representative

, CID GmbH

10.20

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

10.40

Reforming data structures: addressing legacy systems


Senior representative

, Domino Data Lab

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 Evdokimov 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 Evdokimov, 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 integrated into 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


12.20
Case study 

The personal assistant: redrawing the boundaries

The combination of the digital and the personal touch is revolutionising how customers engage with their bank. The speaker will discuss how they have developed avatar assistants, which are providing untold opportunities for customer interaction.


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 Evdokimov, 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, in general, 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 has developed an AI strategy, as well as demonstrating the technology and architecture that has built the 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

12.20
Case study | Topdanmark

Utilising AI to improve operations

After identifying areas that could, in theory, be easily improved with AI, Topdanmark began developing AI to drive operational improvement. Stig Pederson will describe the problems that emerged with introducing AI in production environments, detailing how these were overcome, and discussing 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: Risk, accountability and ethics | Scarlet Stage: Data best practice | Innovation Exchange: Workshops

Crimson Stage: Risk, accountability and ethics
Scarlet Stage: Data best practice
Innovation Exchange: Workshops
14.20

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?

Nicole Sandler

Vice President, Regulatory Policy , Barclays Bank

14.40

Technologist’s perspective

Avoiding regulatory pitfalls: understanding how to build compliant AI

15.00
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 & Innovation Research , Northern Trust

Matt Connell, CII, TechNOVA Speaker
Matthew Connell

Director: Policy and Public Relations , Chartered Institute of Insurers

Fiona-Willis, AFME, TechNOVA Speaker
Fiona Willis

Lead: AI in Capital Markets Taskforce , AFME

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?

Barak Chizi, KBC Group, TechNOVA Speaker
Barack Chizi

Head of Group Centre Big Data, Data Analytics and AI , KBC Group

14.40

Technologist’s perspective

Building a data future


15.00

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

15.20

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 Lead , Legal & General

14.20

Building your blueprints

In this session, 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.


Martin Thorn, CYBG, TechNOVA Speaker
Martin Thorn

Senior Manager – Decisioning, Analytics & AI , CYBG

15.00
Lightning pitches

Chaired by Sophie Winwood, Associate, Anthemis

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.


15.40

Refreshments

Session 4

An outlook on the transformational power of AI

16.00

Technologist’s perspective

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

16.20
An interview

Ethical AI; building a future without bias and intractability

In this session Bishop Steven, member of the House of Lords Select Committee on AI and the All Party Group on AI, will discuss the ethical questions surrounding AI, and the importance of these questions in the future of AI systems.


Bishop of Oxford Steven Croft, House of Lords, TechNOVA Speaker
Bishop of Oxford Steven Croft

All Party Committee on AI and House of Lords AI Committee , House of Lords

16.40
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

17.00
Closing keynote address

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


Pips Bunce, Credit Suisse, TechNOVA Speaker
Pips Bunce

Director: Head of Global Markets Technology Core Engineering Strategic Programs , Credit Suisse

17.20

Chair’s closing remarks and drinks reception


“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

"Interesting look into the current situation of AI in the market."

Head of Automated Customer Experience, Nordea

"The people who come to these events are having the right conversations with the right people."

Director of Sales Engineering, EMEA, Sitecore

Who could you meet?

TechNOVA events unites the top dogs in the banking industry, across insurers, capital markets and retail banking. You can find a sample of those companies below.

Tickets

All tickets include:

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

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15% off

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save £200 Early Bird Until 01 February

£795.00 + VAT

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Venue

The Courthouse Hotel Shoreditch