08
September
8:30 — 16:30
Kosmopol, Mødesalen
Fiolstræde 44

København K, 1171 Denmark
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Demystifying AI with Focus on Ethics, Responsibility, Compliance, Learnings and Practical Examples

We are pleased to present the 2021 program for the annual AI conference.

This year we have asked major players as Nordea, EY, Saxo Bank, CFA Institute, Velliv, Maj Invest and Calypso Technologies to share their perspective on the latest trends and how they are using Artificial Intelligence within banking and asset management.

Program

08:30
Registration, networking and light breakfast
09:00
Welcome
09:05
Introduction
09:15
Keynote speaker
Søren Kyhl, Deputy CEO & Chief Operating Officer, Saxo Bank
AI Ethics, responsibility and compliance
09:45
The NAM ESG Data Platform – a data driven approach to ESG integration in Nordea Asset Management
Thrainn Halldorsson, Data Scientist, ESG Quant, Responsible Investments, Nordea Asset Management
10:15
Creating an AI Center of Excellence – a management perspective
Christine Loft Hunderup, Chief Digital Officer, Velliv
10:45
Coffee break
AI Ethics, responsibility and compliance – continued
11:15
Ethical Considerations with AI
Sonia Gandhi, CFA, Director, Ethics Education, CFA Institute
11:45
Trust, Ethics and Privacy: from principles to practice
Frank De Jonghe, Partner, EY FSO, EMEIA Trusted AI Leader
12:15
Lunch
Learnings and practical examples
13:00
The Nordea AI hub, key learnings and practical examples of scaling Artificial Intelligence
Morten Rufus Blas, Head of Financial Crime AI, Group Data Management Office, Nordea
13:30
Active Management and AI
Rasmus Quist Pedersen, Portfolio Manager, Maj Invest
14:00
Solving real world problems in an organization with Data Science
Christian Busk Hededal, Head of Big Data & Artificial Intelligence, Saxo Bank
14:30
Anticipate STP breaks & settlement failures using machine learning
Christophe VELLA, Senior Director Product Management Back Office, Calypso Technology
15:00
Panel Debate
15:30
Cocktails and networking

Keynote speaker

Søren Kyhl

Saxo Bank

Speaker bio here.

AI Ethics, responsibility and compliance

Thrainn Halldorsson

Nordea Asset Management

Speaker bio here.

The NAM ESG Data Platform – a data driven approach to ESG integration in Nordea Asset Management

In order to tackle the sporadic and chaotic ESG data landscape that has grown rapidly in recent years, Nordea Asset Management has built a proprietary in-house ESG Data Platform that plays a key role in enabling integration of ESG across the organisation. The platform utilises multiple data sources from providers that use ML/AI to analyse unstructured text and data, which allows the ESG Quant team to develop models related to ESG risk, climate, impact, reputational risk and regulatory aspects (for example SFDR & EU Taxonomy) and distribute ESG insights across the organisation’s portfolio managers, investment analysts and systems via a Web User Interface as well as automated data feeds.

Christine Loft Hunderup

Velliv

Speaker bio here.

Creating an AI Center of Excellence – a management perspective

In her presentation Christine will share her experience of the managerial considerations that preceded the establishment of Velliv’s AI Center of Excellence and the considerations it has continuously brought with it in relation to important topics such as ethics and IT Security. Christine will also talk about the strategic initiatives and collaborations Velliv has established to ensure development of compliant and trustworthy AI and share her thoughts on the business value of the specific models that Velliv has developed.

Frank De Jonghe

EY

Speaker bio here.

Trust, Ethics and Privacy: from principles to practice

Implementing an effective programme to address the trust, ethics and privacy risks requires getting many things right:
– Integration between business, compliance and data scientists through appropriate governance and accountabilities;
– End2End view of the data, from capture to use. Different use cases have different risk profiles under different regulations;
– Insight in the causal structures of the ethical problems at hand;
– Enabling technology to support a broad portfolio of use cases.

Sonia Gandhi

CFA Institute

Speaker bio here.

Ethical Considerations with AI

Limited understanding of context, lack of a moral compass, as well as a missing set of human values & principles- just some of the issues that lead to inherent ethical dilemmas with the use of AI and Machine Learning. With AI powered solutions being embraced at a rapid pace in several domains, in this presentation, we will consider the embedded ethical issues, through the use of case studies.

Learnings and practical examples + panel debate

Morten Rufus Blas

Nordea

Speaker bio here.

The Nordea AI hub, key learnings and practical examples of scaling Artificial Intelligence

Scaling AI is all about enabling the right people to create sustained business value. This requires investments in strategies, governance, organisation, ways of working, people development, infrastructure, and tooling. With use-cases spanning across regulatory compliance, commercial and operational areas we have been through several maturation steps before settling on a hub & spoke model. I will cover some of the bumps we have seen along the road and what we did to overcome them.

Rasmus Quist Pedersen

Maj Invest

Speaker bio here.

Active Management and AI

In my presentation I will focus on the application of AI within the active management industry and give our view on the overall title “Active Management and AI”. Furthermore, I will be discussing our experience with AI from a stock selection perspective.

Christian Busk Hededal

Saxo Bank

Speaker bio here.

Solving real world problems in an organization with Data Science

Data Science has the promise of revolutionizing most industries, not least the Financial Industry. Terms like Artificial Intelligence and Disruption drive a strong fear of missing out but still leaves a big question on how to get started. In many cases attempts to integrate and apply Data Science at scale fails and the promises stay as science fiction or a POC at best. In this presentation, Christian Hededal will give his view on how to succeed integrating data science into an organization and its processes, and all the way out to the end customer. Christian will also present some examples of how Data Science in Saxo Bank has helped to support transformation and automatization of internal processes, and to increase the customer experience.

Christophe VELLA

Calypso Technology

Speaker bio here.

Anticipate STP breaks & settlement failures using machine learning

In this presentation you’ll see how we leverage the Calypso Workflow to “Anticipate potential STP Breaks/Settlement Failures” using AI. This Machine Learning model provides fail probability to the securities back office users. It also allows for more efficient prioritization, increases settlement reliability as well as reducing the risk of penalties for fail as imposed by the CSDR. experience.

Gold Sponsor

Silver Sponsors

Prices

Premium member: DKK 750

Basis member: DKK 750

Student member: Free (limited no. of seats)

CFA Society member – part of the Global Passport Program: DKK 750

Non-member: DKK 1750

Read about all the benefits of a membership of Finansforeningen (the Danish Finance Society) / CFA Society Denmark and sign up here.

CFA PL credits

If you are a CFA Institute member, you are eligible to record 5,25 PL credits hours for your participation in this meeting

Details

Date:
8 September
Time:
8:30 - 16:30
Event Category:
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