8:00 – 9:10
REGISTRATION AND BREAKFAST
More speakers to come
9:10 – 9:20
CEFPRO OPENING REMARKS
9:20 – 9:30
CHAIR’S OPENING REMARKS
Jonas Jacobi,
Co-founder and CEO,
ValidMind
9:30 - 10:10
AI IMPLEMENTATION AND OPERATIONAL EFFICIENCY
Winning employee trust and acceptance in the age of AI
View Session details
- Empowering colleagues to overcome their fear of AI.
- Cultivating a culture of curiosity that embraces AI adoption.
- Working through common mental blocks, such as the fear of being replaced by AI in the near future.
- Learning from successes, pitfalls, and critical lessons to guide future AI integrations.
- Best practices to overcome technological resistance
Zahra Gill,
former Financial Crime Strategy and Change Lead, Enhanced Due Diligence,
Starling Bank
10:10 – 11:00
AI CULTURE – PANEL DISCUSSION:
Implementing AI into corporate culture: approaches for constructing AI-ready teams
View Session details
- Empowering your people in the AI era to overcome technostress.
- Examining AI integration solutions to promote AI-ready cultures.
- Developing AI-literacy in management teams to support AI adoption and understanding.
- Creating the right expectations around project management in an AI context to set realistic goals for AI initiatives.
- Unleashing Generative AI Agents: Exploring their creative potential to transform industries.
- Pushing creative boundaries with AI agents that generate unexpected outputs
- Embracing the unknown and overcoming common change management barriers.
- Fostering human-AI collaboration to enhance creativity and innovation
Zahra Gill,
former Financial Crime Strategy and Change Lead, Enhanced Due Diligence,
Starling Bank
Rob Garlick,
Head of Innovation, Technology & the Future of Work,
Citi
Markus Schulz,
Global Head FCC Compliance & Group MLRO,
ING
11:00 – 11:30
MORNING REFRESHMENT BREAK AND NETWORKING
11:30– 12:20
Validating a GenAI Model: effectively using business information and research to predict entity risk events
View Session details
- Uniqueness of leveraging news data, AI model expertise, and model risk management
- Building and validating an AI model capable of predicting credit risk events
- Challenges faced in developing a model that analyzes over 10,000 global news sources in near real-time
- Ensuring robust validation processes for reliability, transparency, and compliance
- Performing robust validation for complex models in financial services
- Use cases: AI-driven risk management.
Avtar Benning,
Director,
Oliver Wyman
Jonas Jacobi,
CEO and co-founder,
ValidMind
12:20– 1:20
LUNCH AND NETWORKING BREAK
1:20 – 1:50
FIRESIDE CHAT – ACCELERATING ADOPTION OF AI:
View Session details
- Session details coming soon…
Adrian Cox,
Managing Director, Thematic Strategist,
Deutsche Bank Research
1:50 – 2:30
DATA READINESS:
Strategies for data readiness and AI integration
View Session details
- Ensuring data readiness and bias validation.
- Building robust AI data foundations and scaling up.
- Managing data-sharing risks with AI vendors.
- Establishing comprehensive protocols to ensure data integrity and protection
Filip Wuebbeler,
Head of AI & Analytics,
Lloyd’s of London
2:30 – 3:10
AI STRATEGY
Foundations for AI (Governance) Success
View Session details
- Establishing transparent, fair, and accountable frameworks to guide responsible AI use.
- Implementing continuous monitoring and adaptation to address evolving AI risks.
Sarah Gadd,
Chief Data Officer, and Head of Data Platform,
Julius Bär
3:10 – 3:40
AFTERNOON REFRESHMENT BREAK AND NETWORKING
3:40– 4:10
DEPLOYMENT – Fire Chat
Reviewing practical strategies for bringing Gen AI to production
View Session details
- Integrating human oversight and expertise into the deployment process.
- Using human insights to enhance AI development beyond just coding.
- Tracking and optimizing Gen AI performance: Setting up systems to monitor effectiveness and refine AI functions based on new data.
- Implementing mechanisms that allow Gen AI to learn and improve accuracy over time.
- LLM vs. SLM: Scaling language models for optimal performance
Sarah Gadd,
Chief Data Officer, and Head of Data Platform,
Julius Bär
Paul Mullins,
former Managing Director of Global Strategic Initiatives,
HSBC
4:10– 4:50
EXPLAINABILITY
Ensuring transparency and visibility to ensure regulatory compliance and explainability
View Session details
- Managing AI risks and educating from the C-Suite down.
- Developing controls and oversight for effective governance.
- Ensuring compliance within AI deployment.
- Reviewing lessons learned from implementation approaches.
- Employing methods to optimize AI models for performance across diverse environments.
- Ensuring transparency and fairness in Gen AI applications
David Withnell
Chief Risk Officer,
AXA Global Healthcare
4:40– 5:30
AI IN FINANCIAL CRIME
Game of frauds: reviewing the role of AI in detecting fraud and improving KYC processes
View Session details
- Learn how to maintain customer trust in an era of rapid transformation.
- Leveraging AI to reduce false positives.
- Discover how criminals attack banking weaknesses with sophisticated analytics, AI, and botnets.
Himanshu Jha,
Fraud & Financial Crime Engineering, CIO,
Nationwide Building Society
5:30- 5:40
CHAIR’S CLOSING REMARKS
5:40
END OF DAY ONE AND DRINKS RECEPTION
8:30 – 9:00
REGISTRATION AND BREAKFAST
9:00 – 9:10
CHAIR’S OPENING REMARKS
Armel Massimina,
Head of Operational Risk,
National Bank of Kuwait
9:10 - 10:00
Enhancing AI Governance and Risk Management Frameworks
View Session details
- AI at the Crossroads of Many Existing Risk Frameworks:Articulating Model Risk Management (MRM) with data privacy and operational risk frameworks to create a holistic risk management approach.
- Collaborating across teams: Engaging legal, compliance, risk, and model risk teams to ensure alignment and oversight across risk areas.
- Understanding operational risks and enhancing resilience, particularly in relation to cybersecurity, compliance, and legacy systems.
- Mitigating AI-related operational risks: Integrating AI model governance with broader operational risk frameworks to ensure resilience and control over AI failures, data bias, or model degradation.
- The role of stakeholders in AI risk and governance: Defining the role of legal, compliance, and risk functions in maintaining AI governance, regulatory compliance, and managing ethical considerations.
Nathalie Bouez,
Head of RISK Independent Review and Control,
BNP Paribas
Paul Mullins,
former Managing Director of Global Strategic Initiatives,
HSBC
Armel Massimina,
Head of Operational Risk,
National Bank of Kuwait
10:00 - 10:40
FUTURE APPLICATIONS
Accelerating client onboarding: leveraging AI as a tool to
enhance customer service
View Session details
- Leveraging Gen AI to accelerate and personalize client onboarding.
- Uncovering how Gen AI can enhance onboarding experiences.
- Using AI to understand and process customer responses.
- Utilising analytics to foresee trends and develop future-ready solutions
Ange Johnson de Wet,
Director, Head of Engineering,
NatWest Group
10:40 –11:10
MORNING REFRESHMENT BREAK AND NETWORKING
11:10 - 12:00
AI IN TPRM – PANEL DISCUSSION
Harnessing AI for third-party risk management and operational resilience
View Session details
- Productivity and quality control benefits.
- Reducing manual workload of understaffed teams.
- Gaining insight across all contracts.
- Leveraging for SLA management.
- Complementing higher value human roles.
Charles Forde,
COO, NFPE Investment Banking and Global Markets,
Nomura
Chris Hall,
Senior Risk Controller – Group Human Resources & Corporate Services,
UBS
Sam de Silva,
former Managing Director & Global Head Engineering Enablement,
UBS
12:00 - 12:40
TALENT & TRAINING
The impact of AI on resource: effective strategies for upskilling, reskilling, and hiring..
View Session details
- Managing limited availability of top talent
- Exploring the talent pool necessary for developing and managing AI
- Mitigate the risk of falling behind by effectively attracting and retaining top talent.
- Strategies to retrain, retain and upskill
- Challenges ensuring diversity in technology
Rob Garlick,
Head of Innovation, Technology & the Future of Work,
Citi
12:40 - 1:40
LUNCH BREAK AND NETWORKING
1:40 - 2:20
MODEL RISK
Incorporating AI and technology into a broader model risk
management framework
View Session details
- Developing governance processes
- Validation of AI within a model risk management program
- Defining validation in an AI system
Karolos Korkas,
Head of Algorithmic Trading Model Risk,
Nomura
2:20 - 3:00
EXTENDED USE CASE – DOCUMENT EXTRACTION
AI application in document data extraction
View Session details
- Overcoming challenges associated with extracting data.
- Reviewing experiences on incorporating AI-driven document extraction into operations
Benoit Rouppert,
Head of AI,
Meilleurtaux.com
3:00 - 3:40
ETHICAL INNOVATION
Synthetic data & DocLLM
View Session details
- Ethical use of synthetic data in financial services.
- Balancing innovation with ethical considerations in DocLLM.
Deepak Paramanand,
Director of Artificial Intelligence,
JP Morgan
3:40 - 4:00
CHAIR’S CLOSING REMARKS
4:00
END OF DAY TWO
This is just the beginning
Above is the latest edition of the agenda, but this is just the beginning. As we approach the event, we will be adding more speakers and sessions to enhance your experience. To stay informed about these exciting updates, please register your interest using the form on the side.