FIMA 2018

27 - 28 November, 2018

QEII Centre, London

Contact Us: 44 (0) 207 036 1345

Agenda Day 2

Pioneering Data Innovation to Harness Automation and Generate Insight

8:00 am - 8:45 am Welcome Networking

8:45 am - 9:00 am Chairperson’s Welcome Address - All My Intelligence is Artificial

Harry Chopra - Chief Client Officer AxiomSL
img

Harry Chopra

Chief Client Officer
AxiomSL

9:00 am - 9:20 am Operations Leader Interview - Re-imagining Your Data as a Commercial Proposition for Business Growth

Huw Howell - Global Chief Operating Officer Nomura
Engage with one of Europe’s most experienced and outspoken data experts as he explores models for managing data that enable your business to avoid risk whilst seizing commercial opportunities.
  • 3 traditional notions of data management that no longer apply
  • Why is it never too late to start commercialising your data?
  • Identifying the right approach to organisational design and tooling against a background of constant noise
  • Threats and opportunities: where will they come from in the future?

Huw Howell

Global Chief Operating Officer
Nomura

9:20 am - 9:40 am How to Put Offensive Data Strategies into Practice on a Global Scale

Rakshit Kapoor - Group Chief Data Officer HSBC
Putting offensive data strategies into practice can be a challenge at a local level so when you need to roll out a new approach globally there is small margin for error. Find out how Rakshit evolved data management during his first 18 months at the Bank and benefit from the lessons he learned helping the business take a more offensive approach. 
  • How to effectively challenge consumers of data in your organisation on what they need so you can align your strategy to actual requirements
  • Engaging your global data teams in driving the change to become more offensive
  • Balancing the need to become defensive whilst investing in analytics, science and insights
  • Exciting developments on the horizon for the global HSBC Chief Data Office
img

Rakshit Kapoor

Group Chief Data Officer
HSBC

9:40 am - 10:00 am Lessons Learned by a Global Asset Manager: Monetising Data and Driving Growth

Sanjay Saxena - Head of Data Governance Northern Trust Corporation
Find out how one of the world’s leading asset management firms is channelling investment in data to drive new revenue generating opportunities without losing control or visibility.
  • Understanding and overcoming the roadblocks to monetising your data
  • How to continuously keep your business engaged in the process of turning data into new revenue generating opportunities
  • Lessons learned from the journey to monetising data across the organisation
  • Third parties who can help you profit from your own investment in data management 
img

Sanjay Saxena

Head of Data Governance
Northern Trust Corporation

Pick up tips and techniques to achieve data management best practice from out-of-industry experts representing over 90 years of data leadership  in the  energy, telecoms, F1 and retail sectors. 
  • Why influencing change is the same challenge in all sectors
  • How to leverage data and analytics to move from tactical to strategic thinking
  • Novel engagement techniques to encourage business leaders to connect with the advantages of analytics
  • How to institutionally embed best practice data analytics so it becomes second nature
img

Ruben Lara

Chief Data Officer
Aberdeen Asset Management

img

Rakshit Kapoor

Group Chief Data Officer
HSBC

img

Andrew Barnett

Group Chief Data Officer
L&G Investment Management

img

Mark Ainsworth

Head of Data Insights
Schroders

img

Roberto Maranca

Former Chief Data Officer
Lloyds

10:40 am - 11:20 am Morning Networking Break

11:20 am - 11:40 am How AI will be the Engine for Continuous Innovation and Monetisation of Data

Afsheen Afshar - Chief Artificial Intelligence Officer and Senior Managing Director Cerberus Capital Management
Find out why you should consider creating a new ‘Chief of AI’ role to capitalise on ubiquitous automation and predictive technologies and monetise your data. 
  • 3 ways AI has already transformed the way data serves the financial services sector
  • Which profiles should you look for from your future data science team to ensure they integrate quickly whilst bringing new talent and expertise into the business
  • How to select the right business problems to solve using data science techniques to guarantee confidence in your new team and future funding for ongoing projects
  • Which solution providers are enabling AI to change the way data will be managed in the future?
img

Afsheen Afshar

Chief Artificial Intelligence Officer and Senior Managing Director
Cerberus Capital Management

11:40 am - 12:00 pm How to Leverage RPA to Reduce the Burden on Your Data Teams and Free them Up to Focus on More Value-Add Tasks

Emma Movitz - Head of Group Function Information and Reporting Nordea
Discover how to practically incorporate RPA in your existing workflows to release your high-value analysts from mundane manual tasks without disrupting business. 
  • How to achieve the high level buy-in required to ensure that data remains a key strategic objective for your business
  • Rethinking data culture to adapt your current organisation so that it is ready to comply, innovate and pioneer new data management techniques
  • How to implement effective end-to-end data management processes that will meet regulatory requirements whilst harnessing RPA, AI, ML and Blockchain
  • Building bridges with Fintech to ensure you benefit from the latest breakthroughs in data management 
img

Emma Movitz

Head of Group Function Information and Reporting
Nordea

12:00 pm - 12:20 pm Overcoming Cultural Mindsets to Use Analytics to Make Your Business Ready for New Growth

Find out how to overcome cultural mindset challenges to develop the right operating model for your business that unlocks new revenue and risk management opportunities from better analysis of your data. 
  • Understanding and overcoming cultural mindset challenges
  • Tracing the evolution of data technology to where it is today
  • How to move from a report vs. data centric operating model
  • How to unleash new analytical capabilities from your data strategy

12:20 pm - 1:00 pm Leadership Panel with Live Polling - Data Issues for Analytics: Finding the Right Balance between Control and Innovation

Barry Green - Chief Data Officer Bank of Ireland Gary Goldberg - Chief Data Officer Mizuho Michael Atkin - Managing Director EDM Council
As data leaders are challenged to step up to a new mandate for data, creating the “control environment” needed for operational data management whilst managing data to support innovation, find out which steps your organisation needs to take to keep pace. 
  • The distinctions between “data for operations” (precision) versus “data for insight” (time to market)
  • Implications on the practice of data wrangling (and governance requirements) to best serve two types of business requirement
  • How the CDO is thinking about this new “data to value” equation
img

Barry Green

Chief Data Officer
Bank of Ireland

img

Gary Goldberg

Chief Data Officer
Mizuho

img

Michael Atkin

Managing Director
EDM Council

1:00 pm - 2:00 pm Lunch

1:00 pm - 2:00 pm Women in Data Lunch: Putting Emerging Data Technologies into Practice

Robin Doyle - Managing Director, Regulatory Affairs Office JP Morgan Isabel van Mele - Chief Data Officer ING Unite
img

Robin Doyle

Managing Director, Regulatory Affairs Office
JP Morgan

img

Isabel van Mele

Chief Data Officer
ING Unite

Track A: Automating Quality

2:00 pm - 2:20 pm Case Study - How to Accelerate Compliance by Automating the Right Aspects of Data Quality Management
Jeffrey Bholasing - Head of Data Quality ING Mitch Melling - Head of Market Data Northern Trust
Discover how to improve the pace of compliance by integrating the right automation tools at the right time and putting in place the correct training to sustain the initiative. Also find out what the major pitfalls to automating data quality processes can be so you know which ones to avoid. 
  • What is the business case for automation driving faster compliance to take to senior leaders?
  • How to adapt your existing data quality management strategy to make room for automation
  • Automation tools and techniques to adopt that will help you accelerate towards compliance
  • How to engage your business leaders and data teams in maintaining the initiative 
img

Jeffrey Bholasing

Head of Data Quality
ING

img

Mitch Melling

Head of Market Data
Northern Trust

Track B: Operationalising Data Science

2:00 pm - 2:20 pm Case Study - Challenging the Status Quo by Implementing New Operations and Controls Driven by Data Science
Andy Alexander - Head of Data Science, EMEA JP Morgan
Develop a data strategy that your business can buy into to enable you team to use data science techniques in everyday data management. Learn new ways to do this without causing disruption to existing workflows.
  • How to build the strongest case for initial and ongoing investment in data science
  • Designing a data science capability  that can flex to your business’ needs
  • Why it is so important to focus on embedding your data science team into the global data organisation early on
  • Identifying and focusing only on key projects to demonstrate the credibility of data science as a go-to function inside the business

Andy Alexander

Head of Data Science, EMEA
JP Morgan

Track C: Integrating New Architecture

2:00 pm - 2:40 pm Interactive Case Study - How to Develop Data Architecture that Enables You to Keep Pace with the Development of New Technology
Kate Platonova - Group Chief Data Architect HSBC
As more data tools and systems come to market how can you keep track of ones that are relevant for you and then ensure your architecture is flexible enough to accommodate them? Solve this challenge and others during this interactive session led by a subject matter expert. 
  • What are the 5 major disruptors for data architects to be mindful of today?
  • How to keep pace with the rapid developments in Cloud, AI, ML and Robotics?
  • How to avoid disrupting your legacy architecture whilst still harnessing the latest capabilities
  • How to keep your business leaders engaged in continuous investment in new architecture 
img

Kate Platonova

Group Chief Data Architect
HSBC

Track D: Pioneering Innovation

2:00 pm - 2:40 pm Fireside Chat - How to turn Data Innovation into Practical Applications that Can Grow Revenue and Drive Efficiencies
Graham Smith - Head of Data Innovation Royal Bank of Scotland Isabel van Mele - Chief Data Officer ING Unite
Discover how to transform your data into insight about your customers that empowers you to offer them better products and services in the future. 
  • How to practically make the connection between data innovation and revenue growth and operational efficiency
  • How to make data innovation a core function of your business
  • How to demonstrate the benefits of data innovation for the wider business
  • How to turn data innovation into real-world products and services that impact customer experience 
img

Graham Smith

Head of Data Innovation
Royal Bank of Scotland

img

Isabel van Mele

Chief Data Officer
ING Unite

2:20 pm - 2:40 pm Title TBC

More information about this executive presentation coming soon.

2:20 pm - 2:40 pm Case Study - How to Ensure You Pass on the Advantages of Machine Learning to Your Business

Alex Vidyuk - Analytics and Machine Learning Chief Architect HSBC
As cognitive and machine learning capabilities continue to impact data management processes find out how to adapt your overall data strategy, architecture, governance and stewardship programmes to ensure your business fully benefits. 
  • Notable developments in cognitive and machine learning you should know
  • 3 effective approaches to adapt your data strategy to take advantage of machine learning
  • How to communicate the benefits of machine learning to business leaders so that it is continuously supported
  • What does the vendor landscape for ML-enabled capabilities look like?

Alex Vidyuk

Analytics and Machine Learning Chief Architect
HSBC

2:40 pm - 3:20 pm Fireside Chat - How can AI be Practically Deployed for Maximum Impact in Your Data Management Strategy?

Mitch Melling - Head of Market Data Northern Trust Sanjay Saxena - Head of Data Governance Northern Trust Corporation
Whilst some people believe that the jury is still out on whether automation has a net benefit when deployed for data quality management there is mounting evidence that it has. What do you think? Hear both sides of the argument and share your opinion with the experts. 
  • How prevalent is AI in existing data management today?
  • How to adapt your data culture so that AI becomes part of the fabric of enterprise data management
  • Dos and don’ts when deciding how AI-enabled tools should be deployed
  • What does the vendor landscape for AI-enabled tools look like?
img

Mitch Melling

Head of Market Data
Northern Trust

img

Sanjay Saxena

Head of Data Governance
Northern Trust Corporation

2:40 pm - 3:00 pm Case Study - How to Practically and Seamlessly Implement RPA into your Data Strategy

Every Enterprise wants to jump on the Robotic Process Automation bandwagon but how to implement it in the easy, efficient and right way. RPA’s capability to keep the data quality and integrity intact makes it all the more important in the overall Data Strategy. Here’s an insight into how RPA needs to be implemented at Enterprise level, what are the challenges to overcome and pitfalls to avoid. 
  • How to implement RPA at Enterprise level?
  • How to overcome challenges that will come your way of RPA set up?
  • How to create a framework for identifying and delivering RPA automation opportunities?
  • How to create a lean yet effective Governance for RPA initiatives?

2:40 pm - 3:00 pm Case Study - Why the Enterprise Needs a Distributed Model for its Data Architecture

Harsharan Niijar - Deputy Chief Data Officer Mizuho International
Find out how to move past your legacy architecture to a distributed model that enables your business to access data in a more agile, flexible way. 
  • Why is it so important to continuously challenge conventional architecture as emerging technologies become more accessible
  • How to move to a new model without adding costs and new risks
  • Best practice partnership strategies to ensure the data and information functions are fully aligned
  • Tools and service providers who are best positioned to help you with the transformation 
img

Harsharan Niijar

Deputy Chief Data Officer
Mizuho International

2:40 pm - 3:00 pm Case Study - Investing in Innovation to Drive Down Overall Costs and Drive Operational Efficiency

Ranil Boteju - Global Head of Data and Analytics HSBC
Discover practical ways to drive the innovation agenda in your data organisation and produce unexpected, high-value tools and services for data consumers that make your business more efficient.  
  • What qualifies as data innovation today?
  • Gaining buy-in to investment in data innovation as an enabler of growth
  • How to build a business case that connects data innovation with cost avoidance
  • How to measure the impact of data innovation on operational efficiency

Ranil Boteju

Global Head of Data and Analytics
HSBC

3:10 pm - 3:40 pm Fireside Chat - How to Design and Implement a Robust Strategy that Ensures Data Quality becomes Second Nature to Your Business

Mark Wilson - Head of Data Quality UK Handelsbanken Jeffrey Bholasing - Head of Data Quality ING
Learn new ways to measurably improve how your business prioritises its data quality and how well it sustains it to drive revenue generation.
  • Getting persuasive buy-in from senior leaders on data quality management to create a strong mandate for change
  • Key benefits of enshrining quality management in your data governance strategy from the outset
  • How to design and implement robust stewardship practices to sustain a focus on data quality management in the long run
  • How to find and integrate data quality management tools that bring together aspects of governance and stewardship in a single platform
img

Mark Wilson

Head of Data Quality UK
Handelsbanken

img

Jeffrey Bholasing

Head of Data Quality
ING

Find out how to operationalise data science techniques to speed up the discovery and analysis of data in support of your business’ risk management and growth goals.  
  • Which technologies are driving the operationalisation of data science?
  • Cultural changes that need to happen for data science to become truly embedded
  • How to leverage data science to greatest effect when managing your market data
  • 5 practical data science techniques you can quickly implement 
img

Daniel Stamate

Professor of Computer Science
Goldsmiths University

James Bramwell

Head of Market Data Compliance
Barclays Bank

img

Ben Musgrave

Principal Consultant – Data & Analytics
Synechron

Andy Alexander

Head of Data Science, EMEA
JP Morgan

3:00 pm - 3:40 pm Panel Discussion - 4 Practical Steps that Will Futureproof Your Data Architecture against Unknown Risks Ahead

Olivier Rose - Head of International Data Management Societe Generale
Find out which simple steps to take today that will ready your data organisation for the unknown and enable you to predict and avoid a fuller range of risks in the future. 
  • How to develop architecture that supports the right data culture for your business’ future goals
  • Aligning the principles of your architecture with your business’ appetite for risk and growth
  • Integrating the right technologies that will empower your data teams to deliver exceptional capability to consumers
  • Selecting the right industry partners who can help you model and deliver flexible architecture that is fit for the future
img

Olivier Rose

Head of International Data Management
Societe Generale

Embed a culture of data innovation and experimentation to ensure you remain a pioneer in your sector and to develop a key competitive advantage today. 
  • 3 common roadblocks to innovation and how to overcome them
  • Encouraging resourcefulness and a pioneering spirit amongst data champions to foster continuous innovation
  • Identifying and buying the best data technologies to ensure your users are empowered to harness data in new ways
  • Which metrics should you use to monitor and improve your data innovation strategy?  

Ranil Boteju

Global Head of Data and Analytics
HSBC

img

Robert Peers

Global Head of Middle Office Change Programmes
UBS

img

Suresh Iyer

Head of Data Management, India
Nomura

3:40 pm - 4:10 pm Afternoon Networking Break

4:10 pm - 4:50 pm Change Leadership Panel – How Can You Keep Business Stakeholders Engaged in Driving the Change As You Move Beyond Legacy Data Culture

Lesley Mead - Head of Change, Chief Data Office TD Bank Deepak Suresh - Global head – Instrument Reference Data Deutsche Bank
Everyone agrees that leading and managing change in enterprise-wide data projects is the hardest challenge of all so make sure you engage in this discussion to challenge international experts on their measures for success. 
  • How persistent regulatory change requires a more flexible approach to data management
  • Rethinking how to allocate resources to simultaneously strengthen defensive and offensive data management
  • Engaging your strategic partners in helping your data teams to become more adaptable 
  • 3 behaviours you should encourage to enable transformation and seamless change 
img

Lesley Mead

Head of Change, Chief Data Office
TD Bank

img

Deepak Suresh

Global head – Instrument Reference Data
Deutsche Bank

4:50 pm - 5:00 pm Chairperson’s Closing Remarks

5:00 pm - 5:05 pm End of Conference