CDAO FSI UK 2025

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Main Conference Day 1
08:00 – 08:45

Registration & Coffee in the Exhibition Area
08:45-08:55

Speed Networking – Making new connections at CDAO FSI!

During this 5-minute networking session, the aim of the game is to go and meet two people you don't already know.
09:00 - 09:30

Is Your Financial Business Prepared for the Regulatory Shift in the UK?
- How can financial institutions align their data strategies with the Financial Conduct Authority's (FCA) new five-year plan to foster trust and growth in the UK's financial services sector?
- What are the potential trade-offs associated with the FCA's growth objectives, and how can data leaders mitigate risks such as increased mortgage defaults and financial misconduct?
- In what ways can the integration of fund tokenisation technologies be leveraged to enhance operational efficiency and competitiveness in asset management?
- How can financial institutions encourage retail investors to engage with higher-return financial products while ensuring adequate consumer protection?
09:30 - 10:15

How Can You Build Trust in Data Privacy & Security for Open Finance?
- How can financial institutions balance the drive for innovation in open finance with the imperative to protect consumer data privacy and security?
- What strategies can organizations implement to mitigate the increased fraud risks associated with open banking ecosystems?
- How are regulatory developments, such as the UK's Data (Use and Access) Bill, shaping data privacy frameworks within open finance?
- In what ways can financial institutions leverage technological advancements to enhance data security while promoting transparency and consumer control in open finance?
10:15 - 10:45

Could Predictive Analytics Be the Key to Smarter Risk Management?
- How can predictive analytics help financial institutions identify emerging risks before they escalate?
  
  What role does data quality play in the accuracy and effectiveness of predictive models for risk management?
  
  How can predictive analytics enhance decision-making in real-time, particularly in volatile market conditions?
  
  What are the key challenges in integrating predictive analytics into existing risk management frameworks, and how can they be overcome?
10:45 - 11:15

Mid-Morning Coffee & Networking in the Exhibition Area
TRACK A: Financial Services
11:15- 11:45

Can Agentic AI Transform Operations for the Better?
- How can financial institutions effectively implement agentic AI systems to enhance operational efficiency and drive productivity?
- What are the key benefits of autonomous decision-making in AI, and how can it help reduce operational costs?
- Can agentic AI truly transform business operations, or are there limitations to its impact in the financial sector?
- What can be learned from case studies of leading firms that have successfully adopted agentic AI technologies to optimise their operations?
11:45 – 12:15

Is Cloud-Native Analytics the Key to Real-Time Decision Making?
- How can financial institutions leverage cloud-native analytics platforms to process data in real time and make faster, more informed decisions?
- What advantages do cloud-native solutions offer over traditional analytics platforms in terms of scalability and flexibility?
- How can adopting cloud-native analytics enhance operational efficiency and improve responsiveness to customer needs?
- What are the key challenges financial institutions face when integrating cloud-native analytics, and how can they overcome them?
12:15-12:45

Panel Discussion: Adapting to Economic Uncertainty in Data & AI
- How are companies using AI and automation to optimise operations, reduce costs, and drive innovation in challenging economic conditions?
- How are data leaders identifying new opportunities and areas for growth despite tightening budgets?
- How are organisations using data and predictive analytics to detect potential risks early and manage financial uncertainty?
- How are data strategies being adapted to create more resilient and adaptable business models during periods of economic volatility?
TRACK B: Insurance
11:15- 11:45

Integrating AI Reasoning for Enhanced Underwriting Accuracy
- How can AI reasoning capabilities enhance underwriting processes by improving the accuracy of risk assessment and pricing?
- What are the key benefits of using advanced AI models that go beyond basic understanding to enable more sophisticated decision-making in underwriting?
- How can financial institutions integrate AI reasoning into their existing underwriting workflows to drive better outcomes and reduce errors?
- What challenges might arise when implementing AI reasoning in underwriting, and how can these be overcome to ensure successful adoption?
11:45 – 12:15

Can Insurance Solutions Tackle the Growing Threat of Climate Change?
- How can insurers develop innovative products and strategies to address the increasing environmental risks posed by climate change?
- What role does data analytics play in assessing and quantifying environmental risks to create more accurate and sustainable insurance solutions?
- How can insurance companies balance the need for profitability with the growing demand for sustainable and climate-conscious coverage?
- What are the challenges insurers face in integrating climate change data into risk management frameworks, and how can these be overcome?
12:15 - 12:45

How Can Modernising Legacy Systems Drive Digital Transformation?
- What are the key challenges insurance firms face when modernising legacy systems, and how can they address these hurdles?
- How can integrating new technologies with existing infrastructure enhance operational efficiency and improve the customer experience in the insurance sector?
- What strategies can insurers adopt to ensure a seamless transition from legacy systems to modern digital platforms without disrupting services?
- What opportunities does digital transformation present for the insurance industry, and how can organisations make the most of them for long-term success?
12:45-14:00

Lunch & Networking in the Exhibition Area
14:00-14:45

Discussion group A: Bridging the Generational Divide: Strategies for a Cohesive Multigenerational Workforce
- Understanding Generational Perspectives: How do the values and work preferences differ among Baby Boomers, Generation X, Millennials, and Generation Z within the financial services sector?
- Communication and Collaboration: What strategies can be implemented to improve intergenerational communication and teamwork?
- Tailored Professional Development: How can organisations design training and development programs that cater to the learning styles and career aspirations of different age groups?
- Flexible Work Policies: In what ways can flexible work arrangements be structured to accommodate the varying needs of a diverse age demographic?
14:00-14:45

Discussion group B: Fostering Diversity, Equity, and Inclusion (DEI) in the Insurance Industry
- Assessing Current DEI Efforts: What are the existing challenges in promoting diversity and inclusion within the insurance sector?
- Effective DEI Strategies: Which initiatives have proven successful in enhancing diversity at all organizational levels?
- Measuring DEI Impact: How can organizations assess the effectiveness of their DEI programs and ensure accountability?
- Navigating DEI Backlash: How should companies respond to criticisms or legal challenges related to their DEI efforts?
Plenary sessions
14:45- 15:15

Can Ethical AI Really Overcome Bias?
- How can financial institutions ensure their AI models are free from bias, especially when handling sensitive customer data?
- What steps can organizations take to measure and mitigate bias in AI algorithms for credit scoring, underwriting, and risk assessment?
- Can ethical AI frameworks truly address deep-rooted biases in financial and insurance processes?
- How does diversity in data and teams influence the fairness of AI-driven decisions in the industry?
15:15 - 15:45

Is Data-Driven Personalisation the Future of Customer Experience?
- How can data analytics be used to create hyper-personalised customer experiences across different touchpoints?
- What role does real-time data play in shaping personalized interactions and enhancing customer satisfaction?
- How can organizations balance personalisation with privacy concerns to build trust with customers?
- What are the key challenges in integrating data from multiple sources to deliver a seamless personalised experience?
15:45 - 16:15

Afternoon Tea & Networking in the Exhibition Area
16:15- 16:45

Building Resilience: Long-Term Strategies for Thriving Amid Economic Pressures
- What long-term strategies are successful businesses adopting to ensure resilience during periods of economic turbulence?
- How are companies reshaping their approaches to data, governance, and AI to remain adaptable in the face of market volatility?
- How can businesses leverage data and AI to future-proof their operations against ongoing economic uncertainties?
- What role do governance frameworks play in helping companies navigate financial instability and ensure sustainable growth?
16:45-17:15

Are Data Monetisation Strategies the Key to Unlocking Hidden Value?
- How can organisations leverage data monetisation to unlock new revenue streams and create value from existing assets?
- What role does data governance play in ensuring the ethical and secure monetisation of valuable data?
- Can data monetisation strategies truly deliver long-term value, or are they just a short-term financial boost?
- How can companies identify untapped opportunities for data monetisation without compromising customer trust or privacy?
17:15-18:00

Roundtable: Unlocking Maximum Value: Scaling Data Impact with Fewer Resources
- How can organisations scale data initiatives with fewer resources, leveraging automation and AI to maximise value from their data teams and platforms?
- What strategies can companies adopt to unlock hidden value in their data while reducing unnecessary costs?
- How can automation and AI help optimise resource allocation and enhance the productivity of data teams in resource-constrained environments?
- What are the key approaches for ensuring that data investments deliver maximum impact, even when budgets are tight?
18:00-18:05

Chairs Closing Remarks
18:05-19:00

Networking drinks and Prize Draw

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Main Conference Day 2
08:15

Registration & refreshments
08:45

Chair’s Opening Remarks

Janthana Kaenprakhamroy - CEO and Founder - Tapoly
09:00

Keynote Presentation: 2024 and Beyond: Unveiling the Data Analytics Roadmap to Success

Edmund Towers - Head of Regtech & Advanced Analytics - Financial Conduct Authority
- Addressing regulatory requirements as the UK Financial Conduct Authority (FCA) emphasizes fairness and explainability in AI use
- Implementing data analytics solutions to streamline regulatory reporting and ensure compliance with evolving financial regulations
- Securing access to customer data, enabling personalized financial services and fostering collaboration across institutions with open banking
- Utilizing Open Banking to securely access customer data with their consent, enabling personalized financial services and collaboration across institutions
- Migrating data analytics infrastructure to the cloud for scalability, accessibility, and cost optimization
09:30-10:00

Presentation: Laying Foundations for AI Success: Preparing for the Cloud

Seeta Halder - Head of Data Insights - Nottingham Building Society
- Strategic Cloud Adoption: The importance of aligning cloud strategies with business goals to ensure that the transition to the cloud supports broader organizational objectives and maximizes AI potential.
  
  Data Management and Integration: Preparing for AI success involves robust data management practices, including integrating diverse data sources and ensuring data quality and accessibility
  
  Skill Development and Change Management: Investing in upskilling teams and managing the cultural shift towards cloud-based operations are critical for leveraging AI effectively
10:00-10:30

Refreshments & Networking Break
10:30-11:00

Keynote presentation: Leading the Data Charge: A Seasoned CDAO's Guide to Success in 2024

Niresh Rajah - Chief Data & AI Officer - DLA Piper
11:00-11:30

Presentation: Getting Value from AI in Insurance

Jonathan Davis - - Data Science Lead – - Zurich Insurance
- Leveraging Predictive Analytics: Look at the use of AI-driven predictive analytics to enhance risk assessment and underwriting processes in the insurance industry
  
  Fraud Detection and Prevention: Consider AI's role in identifying and mitigating fraudulent activities through advanced pattern recognition and anomaly detection
  
  Customer Experience Enhancement: Learn how AI can transform customer interactions by providing personalized recommendations, automating claims processing, and improving overall service efficiency
11:30-12:00

Fireside chat: AI Unleashed – Revolutionising efficiency in Insurance.
- How is the widespread availability of AI tools transforming the insurance industry, making advanced technology accessible to all professionals?
  
  How can AI tools help insurance professionals manage their daily tasks more efficiently, regardless of their technical expertise?
  
  How can AI improve collaboration and communication within insurance teams, especially in remote or hybrid work environments?
  
  How do provide people the skills to safely use these new technologies?
  
  What are the upcoming trends of AI in our industry?
- Tom Clay, Chief Data Scientist, Covea Insurance
- Seeta Halder, Head of Data Insights, Nottingham Building Society
12:00-12:30

Presentation: Conquering ML Robustness in Financial Applications: Emerging Solutions

Alessio Lomuscio - Professor of Safe AI, Imperial College of London - Founder & CEO, Safe Intelligence -
- Deploying machine learning systems in the finance sector presents a significant challenge due to the risk of inadequate performance once operational, which could lead to substantial losses or missed profits. This issue currently hampers the widespread use of potentially valuable ML-based algorithms and systems, many of which, as presently realised, are likely to suffer from suboptimal performance and inherent vulnerabilities.
- The root of this problem lies in the absence of effective methods and tools for assuring the robustness of machine learning models such as decision trees and neural networks. While traditional software validation processes are well-established, ensuring the reliability of AI systems has so far remained problematic.
- In this presentation, we will explore newly developed techniques in the realm of formal robustness verification for neural networks and decision trees. These innovative methods not only automatically detect vulnerabilities but also enhance the robustness of these systems, offering much-needed assurance in fields as critical as aviation.
- Despite the unique complexities and challenges of the financial sector, adopting these robustness verification methods could be crucial. This approach would facilitate the rigorous validation of ML-based systems prior to their deployment, enhancing their reliability and performance in real-world financial environments, as well as enabling the rollout of innovative and effective solutions.
12:30-13:30

Networking Lunch
13:30-14:15

Roundtables (Open Discussions)
Participants will choose between two separate tables, each focusing on a distinct topic, to engage in open conversations. To inspire your discussions, refer to the summary questions provided for each roundtable session. These questions are designed to spark ideas and guide your conversations, but feel free to explore beyond them and bring your own insights to the table. There will be no formal moderators or speakers, so active participation and collaborative exploration are encouraged.
13:45-14:00

Roundtable 1: How Do You Measure the Benefits of Data & Analytics Transformation in Financial Services and Insurance?
- In what ways has data and analytics transformation improved operational efficiency within organizations?
- How have data-driven tools and processes affected employee productivity?
- How can improvements in customer experience and satisfaction be quantified following a data and analytics overhaul?
- How do Financial Services and Insurance companies align their analytics initiatives with strategic business objectives to maximize long-term value?
13:30-14:15

Roundtable 2: Why Is Talent So Challenging, and What Can We Do About It?
- With data democratization on the rise, how can financial services and insurance companies equip all employees, not just data specialists, to make data-driven decisions? How does this affect talent management and development?
- As companies break down data silos through unification, what role does talent play in integrating diverse data sources to deliver actionable insights?
- How can financial services and insurance organizations optimize their talent strategies to leverage edge analytics and real-time data for swift decision-making and operational adjustments?
14:30

End of Event

CDAO Financial Services & Insurance UK 2025 schedule

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