FIMA Europe 2024
21 - 22 November, 2024 *With Tech innovation Day on 20 November
Novotel London West, London, United Kingdom
Conference Day One – 16 November 2022
7:50 am - 8:45 am
Registration and Welcome Coffee
8:00 am - 9:00 am
Women in Breakfast – Enhancing the Skills Gap for the Future – Boosting Data Literacy
Elaine Priest -
Head of Data Transformation,
Natwest
8:45 am - 8:50 am
Organiser’s Welcome - Tom Webber, Editorial Director, FIMA
8:50 am - 9:00 am
Chair’s Opening Remarks
Elaine Priest -
Head of Data Transformation,
Natwest
Unlocking the Value of Data
9:00 am - 9:20 am
Opening CDO Keynote – Unlocking Value from Data…and Enabling a Competitive Edge
Mayank Bhundia -
Group Head of Data Transformation,
HSBC
- How is the data quality process evolving to support enhanced analytics at scale?
- What kinds of skills and team organisation are required to ensure you are generating ever faster insights
- How can you continue to support all your internal consumers of data with better quality analytics for improved decision making
- What kind of partnerships with data tech and tool providers do you need for modern data-driven decision making?
Modernising Data Culture
9:20 am - 10:00 am
Leadership Panel with Live Polling and Q&A – How Can You Operationalise Your Data Culture to Drive Compliance, Literacy, Automation, Diversity, Innovation, Sustainability and Privacy and Meet the Many Competing Demands on Data Today?
Andy Wrigley -
Head of Comms – Data and Architecture,
HSBC
Carol Wilson -
Head of Data Culture and Ethics,
Natwest
Suresh Iyer -
Head of Data Management, India and the Philippines,
Wells Fargo
John McCambridge -
Global Strategist and Data Ambassador,
Dataiku
Ewan McLachlan -
Head of the Group Chief Data Office and Data Management Framework,
Credit Suisse
Ewan McLachlan
Head of the Group Chief Data Office and Data Management FrameworkCredit Suisse
Exploiting ESG Data and Research
10:00 am - 10:20 am
ESG Joint Keynote - How to Design an Effective ESG Data Framework that Supports Your Business’ ESG Initiatives Whilst Complying with Regulatory Requirements
Charaf El-Hami -
Global Head of Data Management,
Amundi
Tegwen Le Berthe -
Head of ESG Method and Solutions,
Amundi
- How has the dependency on ESG data providers evolved over time and what does the landscape look like today?
- How to strike the right balance between regulatory obligations and clients’ expectations in your ESG strategy
- How can you more effectively assess offerings, strengths & limitations of different ESG data providers to separate good from bad?
- What are the relevant data architectures you need to implement as you onboard more ESG data?
10:20 am - 11:00 am
Leadership Panel with Live Polling and Q&A – How Can You Adapt Your Data Capabilities to Meet the Ever-Increasing ESG Data Demands for Business-Critical Sustainability Goals?
Caroline Blaimont -
Data Governance Manager,
BNP Paribas Fortis
Charmaine Wong -
Head of ESG Data,
HSBC
John Bottega -
President,
EDM Council
Chris Pim -
Head of Master Data Management,
Natwest
· What is ESG and why does it matter to the data community today?
· What kind of ESG data is available and where can you get the best ESG data from next?
· What are the key challenges around ESG data collection and integration to address first?
· How can you adapt your existing approach to enterprise data management so that it meets all the demands of your corporate ESG strategy?
Mark Moss
Desktop & Channels Director - Investment Banking segmentS&P Global Market Intelligence
Accelerating Access to New Data
11:40 am - 12:00 pm
CDO Interview – How to Transform Your Data Organisation into a Powerhouse to Enable Faster Analytics and Enhanced Decision Making
Rakshit Kapoor -
Chief Data Officer UK, Head of Data Transformation Europe,
Santander
Helena Schwenk -
VP, Chief Data and Analytics Office,
Exasol
12:00 pm - 12:20 pm
Innovation Keynote - How cloud innovation drives data, technology and organizational transformation to solve business-critical challenges
Rinesh Patel -
Global Head of Industry, Financial Services,
Snowflake
Abstract: Market forces are driving change in the financial
services industry. Against a challenging macroeconomic environment, regulatory
pressures, and changing customer expectations, market participants are
reimagining data and technology stack in the cloud, to accelerate business
outcomes. Challenges with data silos and legacy technology systems however
remain. We explore what this means for the financial services industry as they
transition to cloud, and look at ways to improve data management, drive
agility, scale and performance across the organization.
12:20 pm - 1:00 pm
Leadership Panel with Live Polling and Q&A – How Can Your Use the Latest Cloud Tech to Offer Your End-Users Faster Access to Better Data Whilst Managing Enterprise Risk?
Wes Anderson -
VP Enterprise Data Management,
TD Bank
Ted Orme -
Head of Data Integration Strategy, EMEA,
Qlik
Peter Sykes -
Director of Operations and Data,
Vontobel
Ariel Cohen -
Group Chief Data Officer,
Investec
. Why is getting culture right first so key to driving tech adoption and motivating organisations to change?
· What does the risk landscape look like today and how will it continue to create new demands for the business?
· What is really driving the revolution in access to data? How can you more fully benefit?
· How can faster access to better data generate practical advantages when managing risk?
· What can you do to continuously measure the impact of data on your risk strategy to keep the business on board?
Track A – Rethinking Compliance, Governance & Standards
1:55 pm - 2:00 pm Chair’s Opening Remarks Edward Boag - Head of Data & Oversight, Pricing & Valuation Modeling, NN Investment Partners
Track A – Rethinking Compliance, Governance & Standards
2:00 pm - 2:20 pm Case Study – How to Govern and Utilize Your Data to Create a Competitive Advantage Whilst Complying with All Your Regulatory Requirements Tony Beales - Head of Data Governance, Natwest· 3 ways to prepare for all the regulatory changes and related demands on your data in 2023
· How can you adapt your data governance strategy to hit all of your business’ corporate goals especially those around sustainability?
· Which data governance tools and technologies available today can you take advantage of to remain competitive and compliant?
· How to upskill your data governance team to get more out of your existing data governance tools, platforms and technologies and achieve faster compliance sooner and at lower cost
Track A – Rethinking Compliance, Governance & Standards
2:20 pm - 2:40 pm Case Study – 6 Lessons Learnt from a Career Managing and Governing Data for One of the Europe’s Leading Banks Olivier Rose - Head of International Data Management, Societe Generale
Track A – Rethinking Compliance, Governance & Standards
2:40 pm - 3:00 pm Innovation Use Case – How companies win and transform with data by building and adopting a data culture Manca Vitorino - Director of Data Operations, ICIS: Independent Commodity Intelligence Services Natasha Lauer - Head of Marketing, Soda Data
Track A – Rethinking Compliance, Governance & Standards
3:00 pm - 3:40 pm Leadership Panel with Live Polling and Q&A – What are the Best Practices when Controlling Your Data as Risk and Technology Continue to Disrupt the Way Data is Demanded and Flows around the Business? Tony Beales - Head of Data Governance, Natwest Rickie Glasgow - Head of Investment Data Governance, Vanguard Sian McHenry - Head of Data Governance - Data and Analytics, Nationwide Jo Coutuer - Chief Data Officer, BNP Paribas Fortis· What are the key trends in data risk and control we should all be thinking about today?
· How are risks such as fraud, data misuse and infrastructure security impacting the way data needs to be controlled and governed?
· How can technology be a partner on your journey to control data and manage risks?
· Lessons learned embedding cultural change around data control at the enterprise level so you can roll out best practice today
Track B – Driving Automation and Connectivity
1:55 pm - 2:00 pm Chair’s Opening Remarks Greg Hanson - VP Specialists, EMEA & LATAM, Informatica
Track B – Driving Automation and Connectivity
2:00 pm - 2:20 pm Case Study – Journey to the Advanced Analytics EcosystemTrack B – Driving Automation and Connectivity
2:20 pm - 2:40 pm Case Study – Best Practices You Can Apply Today When Integrating Data from Disparate Data Sets and Sources to Ensure Your Internal Stakeholders Access Data in a Fast and Flexible Manner Christina Schack - Head of Data Operations and Strategy, Vontobel· What is driving the ubiquity of hybrid data architectures that span cloud and on-premise environments?
· Why does data platform architecture have to be continuously redesigned and evaluated?
· How to monitor data flows and performance, availability, access and security
· How to ensure your data teams handle additional data security aspects when sending data into the cloud
Track B – Driving Automation and Connectivity
2:40 pm - 3:00 pm Innovation Use Case – How Innovation with ML is Derailed without Having Timely, Accurate and Clean Data Rocky Martinez - Chief Technology Officer, SmartStream RDU
Track B – Driving Automation and Connectivity
3:00 pm - 3:40 pm Leadership Panel with Live Polling and Q&A - Which Processes Can You Automate When Gathering Data from Multiple Sources to Generate a More Unified View Of Your Customer Faster and at Lower Cost? Jia Tian - Head of Data Architecture, Santander Charles Southwood - Regional VP, Northern Europe & MEA, Denodo Yoshita Dhillon - VP, Data Strategy and Architecture, Credit Suisse David Masters - Data Governance Manager, Sumitomo Mitsui Bank- How can you engage the business in the benefits of investing in even more automation?
- Lessons learned from recent enterprise level automation projects you can practically apply today
- How to successfully engage innovative suppliers of AI and ML solutions in key projects to fail faster and succeed for longer
- How to develop and train your data teams to make practical use of automation, AI and ML in more areas of their everyday jobs so the capability becomes truly embedded
Track C - Sourcing, Integrating and Enriching Data
1:55 pm - 2:00 pm Chair’s Opening Remarks Professor Daniel Stamate - Associate Professor, Senior Machine Learning Scientist & Statistician, Data Science Team Leader, AI /ML, Goldsmiths University
Professor Daniel Stamate
Associate Professor, Senior Machine Learning Scientist & Statistician, Data Science Team Leader, AI /MLGoldsmiths University
Track C - Sourcing, Integrating and Enriching Data
2:00 pm - 2:20 pm Case Study – Overcoming the challenges of sourcing sustainability data, and how AI can help meet ESG goals Roshini Johri - Head of ESG Analytics, HSBC
Track C - Sourcing, Integrating and Enriching Data
2:20 pm - 2:40 pm Leadership Interview – Lessons Learnt from the Move to Data Products in Schroders: Hearts, Minds and Bottom Line Mike Renwick - Head of Data Enablement Strategy and Architecture, Schroders Carole Mahoney - Head of Member Support Services and Business Operations, EDM Council
Track C - Sourcing, Integrating and Enriching Data
2:40 pm - 3:00 pm Innovation Use Case – How NatWest adopted Neo4j graph technology to improve enterprise-wide fraud prevention measures Michael Down - Solutions Architect, Neo4j
Track C - Sourcing, Integrating and Enriching Data
3:00 pm - 3:40 pm Tech Evaluation Panel with Live Polling and Q&A – What are the Main Data Marketplaces Today and How Can You Safely Navigate them to Find the Right Alt, ESG, Traditional and Crypto Data Before Your Competitors? Lucile Brusson - Head of Data and Trading Systems, EnBW AG Stephanie Goulden - Snr Business Development Director, Fable Data David Berry - Market Data and Exchange Commissions, Global Sourcing, IPUG Philippe Glaubitz - Head Market Data, Van Lanschot Kempen· How are marketplaces evolving as data continues to shift and change?
· Which marketplaces are best for which types of data? How can you differentiate successfully?
· How are new data sets transforming the way data is priced and licensed? Or is there no change?
· What should you be looking for from your data to continue to remain competitive?
Track D – Workshops
2:00 pm - 2:40 pm Workshop – The Data Playbook: How to Leverage the Power of Clean, Interoperable Data to Drive Operational Efficiency and Business Growth (For Buy- and Sell-side) Steve Collie - Co-Head of Client Delivery and Co-Founder, FINBOURNE Technology Stuart Atkinson - Head of Banking & Capital Markets Solutions, FINBOURNE Technology
Track D – Workshops
2:45 pm - 4:15 pm Annual CDO Private Boardroom By Invitation Only: Perception or reality? Busting the myths of today’s enterprise data strategies Andy Lee - Business Development Director - UK&I Financials, Palantir Markus Löffler - Senior Director of Enterprise Technology, Palantir- Can crisis and uncertainty be turned into opportunity? What role does technology play?
- Are executives moving towards more short-term thinking and decision making? What does this mean for the role of data in decision-making?
- Are today’s data platforms fit for purpose? Can existing architecture functionally connect data to business value?
- Are Financial Institutions making the most out of the self-service capabilities on offer? What risks does self-service tooling pose?
Optimising Your ESG Strategy
4:10 pm - 4:15 pm
Chair’s Opening Remarks
Konstantina Kapetanidi -
Head of Business Intelligence,
Schroders
4:15 pm - 4:45 pm
Leadership Panel with Live Polling and Q&A – How Can You Embed ESG into Your Data Strategy, Comply with Incoming Regulations and Drive Sustainability
Simone Steel -
Chief Data and Analytics Officer,
Nationwide
Rakshit Kapoor -
Chief Data Officer UK, Head of Data Transformation Europe,
Santander
Gurprit Singh -
Global Head of Data,
Partners Capital
Martina Macpherson -
Head ESG Product Management Financial Information,
SIX
Future of Data Innovation
4:45 pm - 5:05 pm
Innovation Use Case – Why ‘Deep Learning’ is the Key to Unlocking Meaningful Value for Your Data Organization
Vahe Andonians -
Co-Founder,
Cognaize
- Deep learning mimics the processes of the human brain and can thus automate things we cannot encode easily in rules
- Where humans beat computers: the velocity of learning
- Where computers beat humans: the processing of massive volumes of data
- The combination of AI and humans improves productivity, increases retention, and drives revenue if companies create the right processes
