Opening and Welcome
Andrew Delaney, President & Chief Content Officer, A-Team Group

Practitioner Innovation Keynote interview: From defence to offence  – leveraging data management and AI for profit and revenue generation

• What are the opportunities for applying best practices enterprise data management for business value and revenue generation?
• What are the challenges aligning with the business and applying EDM capabilities?
• How can Gen AI be applied for business value creation?
• What are the lessons learned and ROI?

Interview with: Lewis Reeder, Senior Director, Enterprise Insights, BNY
Interview by: Mridula Mutharaju, Data & Analytics Lead, NatWest

CDO/CDAO Panel: How to build an GenAI data strategy and operating model to mitigate risk and deliver business value

• How are CDOs building GenAI data strategy to accelerate business value realisation?
• What is the technical delivery capability and organisational capabilities to move from POC into production?
• What are the governance policies and frameworks needed to ensure responsible use of AI while sustaining innovation?
• How can CDOs manage and mitigate the risks of poor quality data in AI models?
• What skills, talent and resources will CDOs need for GenAI
• How can CDOs demonstrate ROI from AI data strategy and quick wins from AI tools to sustain engagement?
  

Moderator: Joanne Biggadike, Head of Data Governance, Schroders
Niresh Rajah, Chief Data & AI Officer, DLA Piper
Steve Green, EMEA Chief Data and Analytics Officer (and currently Head of EMEA Transformation), Sumitomo Mitsui Financial Group
Malavika Solanki, Strategic Change Specialist, Former NatWest Markets
Peter Jackson, Global Head of Data Office, Schroders
Ruby Paramanathan, Head of Data Strategy, Columbia Threadneedle Investments

Keynote fireside chat: AI and data governance: setting yourself up for success

• How does Belfius align data governance with AI initiatives?
• How can governance frameworks effectively support compliance with the EU AI Act?
• What methods can be adapted to enhance data governance practices with AI?
• What impact can AI have on organisational alignment and change management?

Jérôme Sandron, Head of Data Governance, Belfius
Jean-Paul Otte, EMEA Data Strategy, Precisely

Keynote fireside chat: Getting data products right

• What is the definition of a data product?
• What problem are we solving with data products?
• How do you plan a data product strategy ?
• How do you bring people along with you and organise for success?
• What are the platform considerations?

Interview with: Justin Arbuckle, Global Head of Enterprise Platforms and Practices, Schroders
Interview by: Mats Stellwall, AI & Machine Learning Field CTO, Snowflake

Introducing A-Team Research, a subscription-based research and analysis service powered by Element22 and designed specifically for the financial data management community.

Andrew Delaney, President and Chief Content Officer, A-Team Group
Mark Davies, Partner, Element22

Panel: Best practice data management to sustain and scale AI, GenAI and LLMs

• What are the objectives of using AI, GenAI and LLMs?
• How are firms managing the challenges of data quality, volume and availability needed to scale and sustain AI?
• How should firms sustain data transparency, governance and controls as AI is scaled to ensure a proactive approach to responsible and transparent AI?
• What are the practical requirements of scaling AI infrastructure – should you build or buy your AI models and tooling?
• How should firms keep cloud costs and risks under control for AI?
• How will roles in data management change and what are the right resources, skills and talent to meet the demands of AI?
• Looking forward, what is the end game for data management and AI?

Moderator: Mark Davies, Partner, Element22
Ashly Joseph, Data Management Lead, J.P Morgan
Paul Barker, Head of Data & Analytics Governance, HSBC UK & Europe
Jean-Paul Otte, EMEA Data Strategy, Precisely
Mats Stellwall, AI & Machine Learning Field CTO, Snowflake

Panel: Managing and governing unstructured and alternative data

• What challenges do unstructured and alternative data present?
• How can firms address these challenges and manage integration with structured data?
• Why is it important to invest in resolving these challenges and what are the resulting benefits?
• What best practise approaches can firms take to optimise unstructured data management and governance
• What is the role of modern data management platforms, tools and solutions for extracting value from unstructured and alternative data?
• More specifically how can AI, ML and NLP be applied to add value?
• What are the best practice approaches for the automation process to optimise unstructured data?

Moderator: Andrew Delaney, President & Chief Content Officer, A-Team Group
Paul Lickman, Group Head of Data Architecture, HSBC
Pablo Kotey, Head of Data Enablement, Schroders
Theo Bell,Head of AI Product, Rimes

Keynote: Future proofing the data eco-system and enabling a front-to-back experience

• How are firms embedding reference data from back to front office, expanding its application across the trade lifecycle?
• What are the critical success factors for building a data platform to enable transformation and new data experiences? What role do cloud and AI play?
• How should firms manage and get value from unstructured data?
• What are the benefits of future proofing the data eco-system and enabling a front-to-back experience?
• How should firms leverage partnerships and collaborations to move fast, build trust and add value?

Sunny Jaisinghani, Head of Data, Global Custody Product, State Street Bank
Aneet Shah, SVP, Global Head Custody Product Development, State Street Bank

Panel: Practical approaches to setting up data marketplaces and data products – is this the path to data democratisation?

• What progress has been made in delivering internal data marketplaces and data products?
• Why are they important and what are their limitations – are they the path to data democratisation?
• How can data accessibility be improved to enable users to search, find and access the data they need?
• How should firms build and set up their data products and data marketplace to ensure they are agnostic to underlying architecture?
• What are the challenges of automating data products at scale and how can these be addressed?
• How can data managers, stewards, and owners be incentivised to use these solutions, and maintain required data quality, integrity and compliance?
• What role can GenAI play in improving data marketplaces, products and democratisation?

Moderator: Mark McCord, Data Management Insight Editor, A-Team Group
Joanne Biggadike, Head of Data Governance, Schroders
Lynn Watts, Head of Data Management & Governance,
Royal London Asset Management
Nikos Balanis, Head of Data Platform, CFC Insurance

Panel: How to simplify and modernise data architecture to unleash data value and innovation

• Where are financial institutions on the journey to data architecture modernisation?
• What are the most significant challenges of simplifying and modernising data architecture, and what strategies can be employed to overcome these obstacles?
• In what ways can cloud technologies be used to modernise data architecture and enhance the value of data in financial institutions?
• Beyond cloud, what emerging technologies hold the most promise for evolving data architecture in financial services?
• Where has optimising and modernising data architecture made a significant impact on business value, including investment required and ROI?

Moderator: Naomi Clarke, Data Innovation & Strategy, CDO Advisory
Duncan Cooper, Chief Data Officer, Northern Trust
Amit Nandi, VP Solutions & Data Architect, Barclays Corporate and Investment Bank
Eva Dutton, Data Architect, St James Place

Keynote: From data deluge to actionable knowledge: Leveraging data products & Knowledge Graphs

• Why are organisations drowning in data but still struggling to extract meaningful knowledge?
• How does a decentralised data product approach differ from traditional centralised data management?
• What role do knowledge graphs play in adding semantic meaning, connectivity, and local context to data?
• How can organisations balance decentralisation with the need for shared definitions and entity linking?
• What practical steps can organisations take to implement semantic data products and unlock AI’s full potential?

Tony Seale, Knowledge Graph Architect, The Knowledge Graph Guys

Panel: Managing the regulatory reporting new normal – the data management response

• Balancing cost vs change: How should firms balance heightened demands from regulators and constant change from re-writes vs. keeping up with BAU?
• Regulators want transparency – how are firms progressing with data lineage and moving to more automated approaches?
• What progress is being made by financial institutions and regulators to implement data standards and what more could be done?
• Data accuracy and data quality: What controls should firms put in place to proactively prevent data errors in reporting?
• What progress are firms making in modernising data infrastructure to break down silos and create a single, streamlined reporting platform to improve efficiencies?
• How can firms leverage the foundational work they have done for reporting to generate alpha and business value?

Moderator: Chad Giussani, Independent Advisor
David Masters, Director – Head of Party & Reference Data, EMEA, SMBC
Que Phuong Dufournet-Tran, Regulatory Compliance SME
Emma Kalliomaki, Managing Director, Derivatives Service Bureau (DSB) Ltd
Tom Carroll, Business Development Manager, Datactics