AI in Financial Services 2020
£595.00 – £1,295.00
How will AI transform financial services?
TechNOVA: AI in Financial Services 2020 will address the current and future impact of artificial intelligence on the financial services sector. Join us for lively discussions, insightful presentations, and exciting networking opportunities.
Additional information
| Ticket | Financial Services, Standard |
|---|
Event Details
Start date: September 21, 2020
End date: September 21, 2020
Start time: 08:30 a.m.
End time: 18:00 p.m.
Venue: Business Design Centre, London
Explore the increasing role of AI in the new normal
Novel Coronavirus Update.
TechNOVA: AI in Financial Services has been cancelled.
We are sad to announce that we have had to cancel TechNOVA: AI in Financial Services, which was due to take place on 21 September 2020 at the Business Design Centre, London.
We’ve reached this decision due to the continued threat of COVID-19, which we feel would compromise the event experience and, most importantly, our attendees’ safety.
Our primary focus continues to be creating opportunities for the financial services sector to come together to learn, spark ideas, and critically, do business. We hope to return in 2021 with an even stronger event, and we hope you’ll join us then. We’ll let you know as we announce further details.
The need for digital transformation in financial services has skyrocketed. Advanced analytics, artificial intelligence and RPA are all part of the future journey and necessary to thrive during the new normal. Are you ready to take on change?
Get up to speed with the latest developments and innovations at TechNOVA: AI in Financial Services – the event that brings you leading insights from the financial sector’s technology pioneers.
From business transformation to robotic automation, customer innovation to ethical transparency this event will equip you with the skills and expertise to capitalise on the artificial intelligence revolution.
Speakers
David Germain
Chief Information & Technology Officer, RSA
Ian Thompson
Chief Claims Officer, Zurich Insurance
Abhijit Akerkar
Head of Applied Science, Business Integration, Lloyds Banking Group
Peter Jackson
Group Director , Data Sciences, Legal & General
Gero Gunkel
Chief Operating Officer, Zurich Customer Active Management, Zurich Insurance
Ana Perales
Artificial Intelligence & Conception X Lead, Director, Barclays Ventures
Ekene Uzoma
VP Digital Product Design & Innovation, State Street
Lee Braine
Director of Research and Engineering, Chief Technology and Innovation Office, Barclays
Agenda
21 September 2020
Chair's opening remarks - Professor J. Mark Bishop, Professor of Cognitive Computing, Goldsmiths University of London
Building the structure for AI success
Keynote address
Developing your strategy: prioritising AI investment
David Germain
Chief Information & Technology Officer
RSA
Keynote address
A framework for AI success
Abhijit Akerkar
Head of Applied Science, Business Integration
Lloyds Banking Group
Thematic Investing powered by AI
• Identify investment signals from qualitative big data
• Assess exposure of companies, individuals, and investment portfolios to market developments and themes
• Gain competitive edge with unique investment strategies combining quantitative and qualitative data
• Provide portfolio-based and personalized insights to clients and prospects
Alexander Stumpfegger
Head of Consulting
CID
Keynote address
Towards an algorithmic organisation: understanding the potential of AI & machine-learning
Ian Thompson
Chief Claims Officer
Zurich Insurance
Panel discussion
Charting the path to AI advantage: opportunities and challenges to AI adoption
- Where does AI stand to have the most transformational impact?
- A collaborative approach: how can departments work together to create a clear AI strategy?
- Blowing off the legacy cobwebs: what steps need to be taken to integrate AI with legacy systems effectively?
- Overcoming the data challenge: how can firms ensure AI has enough data to learn effectively?
- Engage, enrich and retain: what new opportunities will AI create for the workforce?
- A new era of AI-driven convenience: how can financial services best capitalise on this?
- Monetising the gold mine: how can AI be commercialised most effectively?
- Visualising the future: what will the AI landscape look like in 2025?
Abhijit Akerkar
Head of Applied Science, Business Integration
Lloyds Banking Group
Santiago Castro
Chief Data Officer
First Bank UK
Ian Thompson
Chief Claims Officer
Zurich Insurance
Ana Perales
Artificial Intelligence & Conception X Lead, Director
Barclays Ventures
Crimson Stage - Advancing advanced analytics | Scarlet Stage - Enhancing operational efficiency: taking RPA to the next level
Crimson Stage - Advancing advanced analytics
Embedding advanced analytics into day-to-day decision making
- Avoiding hype: building a business case for advances analytics
- Asking the right questions: where do analytics add the most insight?
- Experts and “citizen data scientists”: how can organisations establish multifaceted teams?
- Laying the data foundations: how can data most easily be consolidated and processed at scale?
- A coordinated approach:how can organisations establish a group-wide advanced analytics strategy?
Kathy Liu
Head of Innovation, Global Operations
HSBC
Case study | Belfius
Taking natural language processing to the next stage
Natural language processing (NLP) stands to transform how firms interact with unstructured data. Join Celine Thooris as she details how Belfius have been able to effectively leverage NLP and textual analytics to draw insight from document processing, including the ability to interpret handwriting.
Celine Thooris
Head of AI & Robotics
Belfius
Panel discussion
Moving at the speed of data: towards real-time analytics
- Understanding the critical elements of effective real-time analytics
- How can real-time analytics enable new products & services?
- Real-time risk management: what are the most powerful use cases?
- What kind of opportunities are new connected devices creating?
- How can behavioural and real-time data best be combined into actionable insights?
- What role can unstructured data play in developing real-time analytics?
- How far are we from realising the dream of real-time data management?
Yehuda Dayan
Head of Data Science
Citi
Kathy Liu
Head of Innovation, Global Operations
HSBC
Roshan Rohatgi
Senior Innovation Scout and Syndication Lead - AI
RBS
Manuel Dömer
Senior Data Scientist & Product Owner
Swiss RE
Scarlet Stage - Enhancing operational efficiency: taking RPA to the next level
Interview | RBC Wealth Managment
Successfully building and scaling RPA across the organisation: what must be considered?
- Defining your automation strategy: outlining the essentials
- Digging into RPA applications: what are the best use cases across the business?
- How can organisations best prepare the workforce for change?
- Which companies have successfully deployed RPA and why?
Jiahao Sun
Associate Director - Artificial Intelligence
RBC Wealth Management
5 years of using AI & ML to improve insurance processes – lessons learnt and the way ahead
Machine learning and AI can be used to enhance a wide array of insurance processes. In this presentation Gero Gunkel will detail how Zurich Insurance had developed and implemented new AI & ML use cases to improve Zurich’s business operations around the globe.
Gero Gunkel
Chief Operating Officer, Zurich Customer Active Management
Zurich Insurance
Fireside chat
Transforming the operating model: where will AI impact most?
- Creating the architecture: what structures need to be established for operational AI to flourish?
- Where can RPA be implemented most effectively to rapidly streamline systems and processes?
- Beyond the back office: where else in the business can RPA add value?
- How can operational automation be integrated seamlessly with the workforce?
- How can automation be best leveraged to improve operational agility?
- Automating at scale: what are the challenges and how can they be overcome?
- From robotics to intelligent process automation: where next for operational AI?
Gero Gunkel
Chief Operating Officer, Zurich Customer Active Management
Zurich Insurance
Jiahao Sun
Associate Director - Artificial Intelligence
RBC Wealth Management
Lunch sponsored by TIBCO
Crimson Stage - Enhancing customer experience | Innovation Exchange - Pitches
Crimson Stage - Enhancing customer experience
Case Study | Wealth Wizards
MyEva: Fully regulated, personalised financial advice
Wealth Wizards have successfully launched the UK’s first fully regulated digital financial adviser. In this case study, Elizabeth Basten will detail how MyEva provides personalised recommendations based on customer responses, delivering a fully digital experience that adds real value for consumers.
Elizabeth Basten
Chief Marketing Officer
Wealth Wizards
Preparing for the rise of the intelligent virtual assistant
- Can virtual assistants deliver truly human-like customer interaction?
- Proactive rather than reactive: the next frontier of chatbot development?
- Fully automated self-service: how close are we to AI-driven contact centres?
- Beyond customer service: what are the other areas where virtual assistants can be implemented?
Samyr Mezzour
Chief Innovation Officer
House of Insurtech Switzerland
Panel discussion
From robo-advice to chatbots to voice-activated payments: where next for conversational AI?
- Where can conversational AI add most value? Where are we likely to see exponential growth?
- “Alexa pay Tom £100”: are voice assistants set to become an important banking channel?
- Value-added services: are voice activated digital assistants set to become the main channel for data-driven advice?
- Creating a more rounded experience: will conversation AI lead to more seamless customer journeys?
- How can AI blend seamlessly with human interaction?
- How can data from conversational AI best be captured and fed into a holistic customer profile?
Harriet Rees
Head of Data Science
Starling Bank
Elizabeth Basten
Chief Marketing Officer
Wealth Wizards
Victor Trokoudes
Chief Executive Officer
Plum
Innovation Exchange - Pitches
Pitch 1 | Plural.ai
How can financial institutions best make use of the data available to them? Plural.ai’s innovative use of machine-learning allows for the pooling of financial knowledge on to an easy-to-use platform.
Camille Rougie
Founder & Chief Executive Officer
Plural.ai
Pitch 2 | Cleverea
Cleverea utilise tech innovation to help cover customers against flight delay & cancellation, from a flight delayed by 15 minutes to a missed connection, revolutionising how customers interact with flight insurance in the process.
Álvaro Sanz Pérez
Co-founder
Cleverea
Pitch 3 | MoneyMatiX
MoneyMatix utilises innovative technology to help consumers take control of their financial health, and help educate families through an intuitive platform.
Tynah Matembe
Founder & Chief Executive Officer
MoneyMatiX
Pitch 4 | Credit Kudos
Traditional borrowing tends to unfairly penalise those from the lower end of the credit spectrum. Credit Kudos utilise advanced data analytics to draw a truly reflective picture of any prospective borrower, allowing credit to be open to all.
Freddy Kelly
Chief Executive Officer
Credit Kudos
Pitch 5 | Cystellar
Geospatial technology is starting to revolutionise how organisations approach risk. CyStellar’s use of AI to gain insight from satellite imagery and IoT is changing how organisations perceive and interact with risk.
Peter Bunus
Founder & Chief Executive Officer
CyStellar
Pitch 6 | Credit Kudos
Trakti is “A Unified Platform for Smart, Self-executing and Compliant Contracts”, that address inefficiencies of the existing way commercial and legal agreements are negotiated, signed, stored and audited. It covers the entire lifecycle of contracts by bringing it on a single end to end platform together with its entire authorisation, communication and audit history.
Luigi Trelesca
Founder & Chief Executive Officer
Trakti
Pitch 7 | Payaca
Payaca are changing how small businesses interact with financial services, through an intuitive platform, making it faster, simpler and cheaper for them to work with their customers.
Matthew Franklin
Founder
Payaca
The future of transparent AI
Keynote address
Opening the black box of machine learning
Peter Jackson
Group Director , Data Sciences
Legal & General
Industrialising data science in financial services: bridging the gap between quants & IT
The financial sector has to implement and support a wide range of challenging AI use-cases. Fraud, robo advisors, recommendation engines, digital assistants, and risk analysis are all areas where machine learning plays a crucial role for banks, investment companies, and insurance companies. At the same time these companies employ people with different quantitative skills – from maths PhDs to SMEs turned citizen data scientists. The toolset for groups with different skill levels differs substantially, and this presents an even bigger challenge when it comes to operationalisation and monitoring of models. In this session we will talk about what it takes to build an end-to-end Data Science platform that can cater to the needs of diverse user groups, ease the pressure on IT by promoting self-service, and at the same time provides strict controls and facilitates the reproducibility and traceability that is mandated by regulators.
Nikolay Manchev
Principal Data Scientist EMEA
Domino Data Lab
Panel discussion
Managing the machines: ensuring transparency and explainability with AI
- How can regulators and organisations collaborate effectively to create clear structures of AI accountability?
- Building a strong governance framework: where does AI pose most risk to financial services organisations?
- Developing a white box strategy: effective strategies for overcoming black box opacity
- Avoiding algorithmic bias: what processes need to be implemented to ensure a transparent approach to data modelling?
- What steps need to be undertaken to create trackable data models?
- In an age of increasing data breaches, how can firms ensure that customer data is safeguarded properly?
- Beyond GDPR: where will be the next likely regulatory developments?
Peter Jackson
Group Director , Data Sciences
Legal & General
Angela Johnson De Wet
Head of Risk across New Technology and Technology Change
Lloyds Banking Group
Ekene Uzoma
VP Digital Product Design & Innovation
State Street
Looking to the future of quantum computing
Closing keynote address
Preparing for quantum computing in financial services
Lee Braine
Director of Research and Engineering, Chief Technology and Innovation Office
Barclays
Chair's closing remarks followed by drinks reception
EXCLUSIVE INTERVIEW
Ian Thompson, Zurich Insurance
Who Attends
Hot Topics
The next frontier of conversational AI
Delve into the new innovations transforming customer experience, from personalised services and products to the next frontier of intelligent virtual assistants.
Transforming organisational culture
Gain insight into how organisational culture can be transformed to nurture AI development, innovation and implementation.
Harnessing the power of analytics
Learn how advanced analytics and data science stand to revolutionise financial services, from developing customer insight through advanced analytics to using real-time data to more effectively manage risk.
Enhancing operational efficiencies
Find out how AI has streamlined operations, from robotics to cognitive science and intelligent automation.
Transparent technology
Open up the black box of machine learning and gain a deeper understanding into explainable AI and the need for transparency.
Quantum computing
Find out how quantum computing stands to radically change how financial services do business.
Book your networking meetings
We want you to find the best connections possible and so, this year, we’re using the networking app, Brella.
With Brella, you can view the event schedule, see who is attending, and easily connect with your fellow delegates with the ability to set up 1-to-1 meetings in our designated Brella networking zone.
This is your chance to meet the individuals set to give you the next big relationship your business needs.
Connect with your audience
Our attendees tell us their aim is to make meaningful connections with solutions providers. With this in mind, we have created a range of sponsorship opportunities that can help you raise your profile and reach the right people.
Thought-leadership sessions
Hospitality packages
Exhibition spaces
On-site branding
Tickets
All tickets include:
1 day conference pass, lunch & refreshments and a drinks reception
Group Discount
15% off
When you buy 3 or more tickets
Financial Services*
£595.00 + VAT
Standard
£1,295.00 + VAT
Sponsors
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