FIMA US 2018

May 02-May 04, 2018

Westin Copley Place, Boston MA

Contact Us: 1-888-482-6012

Thursday, May 3, 2018 - Main Day One: Data Innovation, Creating Efficiencies and Moving Closer to Offensive Data Management

7:30 AM - 8:20 AM Continental Breakfast & Registration In The Data Management Café

7:30 AM - 8:20 AM Women in Data Networking Breakfast

Robin Doyle, Managing Director, Office of Regulatory Affairs, J.P. Morgan
Join your peers in data management to reconnect with old colleagues, meet women leaders in data management and share ideas offline.

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Robin Doyle

Managing Director, Office of Regulatory Affairs
J.P. Morgan

8:20 AM - 8:40 AM Welcome Remarks and Getting To Know You: Data Manager’s Ice Breaker

Marissa Alvord, Program Director, FIMA US

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Marissa Alvord

Program Director
FIMA US

8:40 AM - 8:55 AM Chairperson’s Opening Address

Interested in demonstrating thought leadership as Chairperson? Contact Charles McNiff at 646-200-7828 or charles.mcniff@wbresearch.com

In most discussions of artificial intelligence today, the great enabler is machine learning. Algorithms that perform intelligent tasks – those without explicit human direction – are becoming ubiquitous. But machines must be able read before they can learn. And information most relevant to AI advancements is often not appropriately structured for quick and easy ingestion. In financial markets, one of the great inhibitors is data embedded in documents designed for human readability. Learn what regulators are doing to promote machine reading of registrant disclosures through data reporting standards and requirements.

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Scott Bauguess

SEC Deputy Chief Economist and Deputy Director, Division of Economic and Risk Analysis
U.S. Securities and Exchange Commission
Few people wake up daily with an aspirational view excitement to pay taxes, but it’s what you have to do to get to bigger goals. Meeting regulatory compliance requirements is like paying taxes, but you can’t build a business strategy around staying alive. What does the future look like for innovation in the data office? What intelligence is being gleaned to plan for the future? What technologies will support innovation now and into the near future?

Panelists will discuss:

  • Approaches being taken to innovate with data
  • How data is changing the way business is done and the ways to work with partners
  • The impact of data innovation and competitiveness of the environment

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Tom Barkes

Global Head of Reference Data Operations
Goldman Sachs
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Rob Casper

Firmwide and CIB Chief Data Officer
JPMorgan Chase
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BJ Fesq

Chief Data Officer, Wholesale Data Office
Wells Fargo
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Doug Mehne

Managing Director, Data as a Service
BNY Mellon
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Andrew Salesky

Senior Vice President, Global Data Officer
Charles Schwab
Data organizations are now focused on more agile delivery of high quality data in front-end systems to support decision making. The value of data is simultaneously increasing across the industry and business users are harnessing this power. How are different firms deriving value and monetizing data that already exists? What should permissioning controls look like for different data users? How can you alleviate the pain business users may experience when accessing data?

Panelists will discuss how to:

  • Democratize data for users to access quality data
  • Educate and empower average business user to understand and use data
  • Create a business organization that balances between users driven by gut instinct and those driven by data

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Des Gallacher

Head of Investment Technology
Eaton Vance
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Nick Helton

Senior Vice President, Asset & Pricing Services, Global Head Asset Services
Northern Trust
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Stan O'Marra

Chief Data Officer, Office of the Chief Investment Officer
MassMutual Financial Group
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Girish Satpute

Head of Investment Operations Technology
Fidelity Investments
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Harry Chopra

Chief Client Officer
AxiomSL
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Ravi Shankar

Chief Marketing Officer
Denodo Technologies

10:35 AM - 11:15 AM Morning Refreshment & Networking Break In The Data Management Café

The industry is beginning to harness the potential of emerging technologies like artificial intelligence, machine learning, robotic process automation and cognitive computing, which can support increased efficiencies and standardization. What do you need to do to enable these new capabilities? How is machine learning being applied beyond proof of concept? What are common business goals around AI and how is it actually being applied? What sort of change is required to mainstream these new technologies that can trigger fears in people?

Panelists will discuss:

  • How and where to apply machine learning and AI to achieve savings
  • How to do risk management and governance around emerging technologies
  • Where AI, machine learning, RPA and natural language programming are delivering most value

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Jacob Kosoff

Senior Vice President, Enterprise Risk, Head of Model Risk Management & Validation
Regions Bank
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Michael Kubiske

Director, Center for Machine Learning (C4ML)
Capital One
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Jed Maczuba

Director, Enterprise Architecture and Strategy
MFS Investment Management
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Sears Merritt

Vice President & Chief Data Scientist
MassMutual Financial Group
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Bryan Bell

Executive Vice President
Expert System Enterprise
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Frank Zhao

Director, Quantitative Research
S&P Global Market Intelligence

11:55 AM - 12:05 PM AI, Machine Learning, RPA and Analytics Innovation Spotlight

We’ve heard from practitioners about how they are using AI and emerging technologies to augment their data organizations, but with technologies moving so quickly, what are the latest capabilities available to advance the data agenda? Interested in showcasing your AI, machine learning, RPA or analytics offering as an innovation spotlight? Contact Charles McNiff at 646-200-7828 or charles.mcniff@wbresearch.com

12:05 PM - 12:35 PM Knowledge Graphs, Semantic Data Lakes and AI: The Next Generation of Data

David Newman, Senior Vice President, Strategic Planning Manager, Innovation Group, WellsFargo
We are at the juncture of a major shift in how we represent and manage data. Conventional data management capabilities are ill equipped to effectively link, harmonize and understand data, especially when it is dispersed across multiple line of business organizations or when it is unstructured. This presentation will describe semantic knowledge graph technology, the "next generation of data". We will discuss how knowledge representation and reasoning capabilities using ontologies is the way forward to tame the data management monster. The Financial Industry Business Ontology (FIBO) will be described as an exemplar. We will also discuss what a semantic data lake architecture looks like. Lastly, we will explain what a knowledge graph is and how ontologies and machine learning can operate together for maximum benefit.

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David Newman

Senior Vice President, Strategic Planning Manager, Innovation Group
WellsFargo
Buzzword or benefit? That’s the question that’s been on the minds of many for the last three years. We’re now in the year of the pilot and use cases are becoming clear. What are the actual applications? How do you determine which projects should pursue? Where are data leaders finding value in Blockchain? How do you control Blockchain? Is there a client facing value proposition and what does that look like? What are SEC interventions around Blockchain?

Hear early adopters weigh in on:

  • Opportunities to automate settlements
  • Use cases to simplify complex procedures to bring efficiencies
  • Impacts to back and mid-office operations

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Emmanuel Aidoo

Head of Distributed Ledger and Blockchain Strategy
Crédit Suisse
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Lucien Foster

Head of FinTech Strategy & Partnerships
BNY Mellon
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Jennifer Gibbs

Vice President, Enterprise Data Management, Office of the CDO
TD Bank
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Moiz Kohari

SVP, Chief Technology Architect
State Street

Alex Smith

Director, Reference Data Innovation Projects
UBS

1:15 PM - 2:15 PM Luncheon For All Attendees

Track A: Proactive Regulatory Compliance to Support the Business and Avoid Penalties

2:15 PM - 2:25 PM Chairperson's Afternoon Address

Interested in demonstrating thought leadership as Chairperson? Contact Charles McNiff at 646-200-7828 or charles.mcniff@wbresearch.com

Track B: Advancing Metadata and Data Quality to Increase Efficiency and Reduce Costs

2:15 PM - 2:25 PM Chairperson's Afternoon Address

Interested in demonstrating thought leadership as Chairperson? Contact Charles McNiff at 646-200-7828 or charles.mcniff@wbresearch.com

Track C: A Firm-wide Approach to Leverage Analytics and the Data Lake

2:15 PM - 2:25 PM Chairperson's Afternoon Address

Peter Ku, Vice President, Informatica LLC

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Peter Ku

Vice President
Informatica LLC

Track A: Proactive Regulatory Compliance to Support the Business and Avoid Penalties

2:25 PM - 2:50 PM Lightning Round Panel: Getting Ahead of Vague Regulations, Proactive Compliance for MiFID II, CECL and More

Jessica Chen, Senior Vice President, Compliance, Citi
Data leaders across the industry continue to struggle with vague regulations and there are a number of implementations coming into effect in 2018. Most regulations are aimed at data protection and quality where there are ongoing weaknesses. What systems and processes are being implemented to meet new rules while keeping up with existing rules and current C-suite priorities? How are regulatory reporting efforts being integrated to create efficiencies? How can you avoid a patchwork of systems resulting from efforts to quickly address a new regulatory concern?

Panelists will discuss:

  • How to align risk and reporting and map information from a metadata perspective
  • Strategies to fundamentally address data quality, privacy and data governance
  • How to link data quality to deliver results

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Jessica Chen

Senior Vice President, Compliance
Citi

Track B: Advancing Metadata and Data Quality to Increase Efficiency and Reduce Costs

2:25 PM - 2:50 PM Lightning Round Panel: Mastering Data Lineage to Increase Efficiency and Be Compliant

Tom Serven, Vice President, Enterprise Data Governance, State Street Jill Lock, Senior Director, Data Quality, RBC
Metadata management is one of the key foundations for a data management program and it continues to be an ongoing pain point for financial institutions. How can you automate metadata processes and traceability throughout the project lifecycle? How can you link metadata efforts to GDPR readiness?

Find out how to:

  • Connect metadata efforts to privacy by design for GDPR compliance
  • Understand ownership and re-direct lineage to direct from authoritative data sources
  • Maintain, gather and keep data lineage up-to-date and verifiable

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Tom Serven

Vice President, Enterprise Data Governance
State Street
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Jill Lock

Senior Director, Data Quality
RBC

Track C: A Firm-wide Approach to Leverage Analytics and the Data Lake

2:25 PM - 2:50 PM Lightning Round Panel: Leveraging Actionable Intelligence Through Meaningful and Governed Analytics

Olivier Rose, Head of International Data Management, Societe Generale Peggy Tsai, Vice President, Analytics & Data, Morgan Stanley Wealth Management
Analytics are in high demand across the industry. Executive leadership is looking for new insights to inform decision making. How can you ensure that analytics are reliable, lineage is traceable and that you can prove to regulators that information hasn’t been tampered? What are the latest opportunities to leverage unstructured data? How can you ensure you maximize your spend?

Find out how to:

  • Determine which analytics are most important
  • Govern advanced analytics and ensure you’re using them right
  • Keep up with the growing appetite for analytics from different lines of the business

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Olivier Rose

Head of International Data Management
Societe Generale
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Peggy Tsai

Vice President, Analytics & Data
Morgan Stanley Wealth Management

Track A: Proactive Regulatory Compliance to Support the Business and Avoid Penalties

2:50 PM - 3:00 PM Innovation Spotlight

Interested in showcasing your latest solutions in a quick-fire session? Contact Charles McNiff at 646-200-7828 or charles.mcniff@wbresearch.com

Track A: Proactive Regulatory Compliance to Support the Business and Avoid Penalties

3:00 PM - 3:10 PM Innovation Spotlight

Interested in showcasing your latest solutions in a quick-fire session? Contact Charles McNiff at 646-200-7828 or charles.mcniff@wbresearch.com

Track B: Advancing Metadata and Data Quality to Increase Efficiency and Reduce Costs

2:50 PM - 3:00 PM Innovation Spotlight

Interested in showcasing your latest solutions in a quick-fire session? Contact Charles McNiff at 646-200-7828 or charles.mcniff@wbresearch.com

Track B: Advancing Metadata and Data Quality to Increase Efficiency and Reduce Costs

3:00 PM - 3:10 PM Innovation Spotlight

Interested in showcasing your latest solutions in a quick-fire session? Contact Charles McNiff at 646-200-7828 or charles.mcniff@wbresearch.com

Track C: A Firm-wide Approach to Leverage Analytics and the Data Lake

2:50 PM - 3:10 PM Building an Enterprise Analytics Layer

Tzaras Christon, President & CEO, Aginity
Companies that are analytic and predictively driven - enterprise wide - will ultimately own their respective industries. However, most companies fail to realize their full data and analytic value or recognize that their vital analytic processes are broken. Why? Building and deploying analytics in enterprises today is incredibly manual, costly, and slow. Join Tzaras Christon, President & CEO at Aginity, as he outlines the benefits and challenges of building an enterprise analytics layer. He’ll be covering topics such as:

  • Why companies struggle to realize full data and analytic value, and identifying broken processes
  • Navigating the complex analytics software and platform ecosystem
  • Integrating consistent, reusable analytics across diverse data sources and applications
  • Enabling self-service and agility, while still providing powerful enterprise-level safety, security, and consistency

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Tzaras Christon

President & CEO
Aginity

Track A: Proactive Regulatory Compliance to Support the Business and Avoid Penalties

3:10 PM - 3:50 PM Panel Discussion and Live Polling: Managing Risk and Ensuring Compliance with CDD, AML and KYC

Adam Schabes, Managing Director, AML Technology, Modeling and Analytics, BMO Harris Bank Grant Patrick, Global AML Officer, Napier Park Global Capital Kelvin Dickenson, Vice President, Head of Compliance & Data Solutions, Opus Sam Yoo, Specialized Sales – Financial Sector, ASG
Preventing financial crimes and countering the financing of terror are increasingly complex challenges for financial institutions as regulators across the world regularly introduce new rules and regulations. How are firms capturing, verifying and relating entities to each other? How are firms keeping up with the new rules around beneficial ownership?

Find out:

  • How to gather and create governance around data for KYC/AML and risk aggregation
  • Best practices being adopted to combat financial crimes
  • How firms are handling geographical differences in regulations

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Adam Schabes

Managing Director, AML Technology, Modeling and Analytics
BMO Harris Bank
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Grant Patrick

Global AML Officer
Napier Park Global Capital
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Kelvin Dickenson

Vice President, Head of Compliance & Data Solutions
Opus
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Sam Yoo

Specialized Sales – Financial Sector
ASG

Track B: Advancing Metadata and Data Quality to Increase Efficiency and Reduce Costs

3:10 PM - 3:50 PM Panel Discussion and Live Polling: Increasing Efficiencies and Accuracy in Data Quality to Sustain and Maintain Investments in Data Governance

Kristi Cunningham, Vice President, Enterprise Data Management, Capital One Ashok Kumar, Data Governance and Architecture, Citi Olga Maydanchik, Vice President, CIO, Data Integration, Deutsche Bank Ryan Wilder, US Head of Data Quality, HSBC Josh Hewitt, Director, Data & Analytics, Protiviti
Everything the financial services industry does requires good data and advanced technologies like AI will be useless in the absence of quality data. What does comprehensive data quality look like? How can you ensure accuracy that requires human controls across borders?

Panelists will discuss:

  • The application of new technologies, including machine learning to improve data quality
  • How to understand trends in data quality and automatically cleanse data
  • What metrics are needed to assess data quality and origin

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Kristi Cunningham

Vice President, Enterprise Data Management
Capital One
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Ashok Kumar

Data Governance and Architecture
Citi
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Olga Maydanchik

Vice President, CIO, Data Integration
Deutsche Bank
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Ryan Wilder

US Head of Data Quality
HSBC
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Josh Hewitt

Director, Data & Analytics
Protiviti
One of the biggest issues keeping CDOs up at night is managing the big data platform or data lake. Data lakes are beasts that are constantly fed by reading master files that are frequently refreshed. With the rate of data growth and lack of transparency, it’s no wonder they can quickly become swamps. Data lakes offer the opportunity for more complete, timely and accurate data than ever before. What do proper checks and balances look like to access this potential? How can you overcome opposition to governance from data scientists who just want raw data?

Panelists will discuss:

  • Best practices in data lake management
  • How to optimize data lake usage and gain greater control over access
  • Developing governance policies around the data lake
  • How to ensure data in the lake is coming from authoritative sources

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George Brandman

Managing Director
J.P. Morgan
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Jennifer Curtiss

Vice President, Enterprise Data Governance Office
American Express
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Stephane DuBois

Founder and CEO
Xignite, Inc.
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James Masters

Head of Semantic Technology
Crédit Suisse
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Clay Mcbride

Global Head Of Data Management
Aegon Asset Management

3:50 PM - 4:30 PM Afternoon Refreshment & Networking Break In The Data Management Café

Data is growing on an exponential path, quadrupling every two years. Three years ago regulators were heavily focused on data governance of structured data, which is where most sensitive data is localized. While structured data remains under heavy scrutiny, regulators are now looking closely at unstructured data, which can be a needle in a haystack when looking for highly classified data. What are the risks to your firm if a hacker crawls unstructured data of text logs and various points across the company intranet? What fundamental changes are needed from a framework and technology perspective to ensure governance of unstructured and structured data? How can you be better prepared for your next visit from regulators?

Panelists will discuss:

  • Similarities and differences in governing structured and unstructured data
  • How to decide where to prioritize
  • Determining fit for purpose and assessing data quality

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Brian Keil

Vice President, Data Management
Charles Schwab

Manjeev Kumar

Vice President, Syndicated Loans Technology
Deutsche Bank
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Sankar Balasubramanian

Senior Vice President, Chief Data Officer
Flagstar Bank
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Joseph Incorvati

Senior Vice President, Enterprise Data Management
The PNC Financial Services Group, Inc.
Since the earlier part of the day was jam-packed with detailed presentations and thought-provoking panel discussions, here’s your opportunity to be part of the discussion! Sit with many of the day’s speakers to ask questions about their presentations, share your thoughts, and dive deeper into your challenges. Additional roundtable topics not yet discussed in the earlier sessions are available too. You pick which roundtables to partake in – choose the ones relevant to your most pressing initiatives and send your team mates to others to cover full ground. Each Roundtable discussion lasts 25 minutes – choose 2!

1. Refining Data Governance Escalation and Enforcement as the Data Strategy Matures
Larry Russell, Head of Global Data Services, Allianz Global Investors

2. From Legacy Systems to the Master for a Single Version of the Truth and Increased Efficiency
Thomas Wise, Head of Enterprise Data, GMO

3. Asset Manager Focus | Overcoming Obstacles to Industry Collaboration to Reduce Costs and Increase Efficiency
Stephen Gouthro, Head of Investment Services & Operations, Putnam Investments

4. MiFID II Compliance, How Are We Doing?
Jeb Avery, Director, Investment Data Management, Janus Henderson

5. Implementing and Maintaining Robotics and AI in Operations
Manjeev Kumar, Vice President, Syndicated Loans Technology, Deutsche Bank

6. Data Quality Control Through Sustainable Data Remediation
Olga Maydanchik, Vice President, CIO, Data Integration, Deutsche Bank

7. Meeting GDPR Requirements, Where Are We Now?
Ayo Olayinka, Head of Data Governance, Mitsubishi UFJ Trust and Banking Corporation (MUTB)

8. Developing a Secure Cloud Strategy to Ease Compliance and Achieve Scale

9. Reengineering Data Infrastructure for Big Data and Advanced Analytics


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Larry Russell

Head of Global Data Services
Allianz Global Investors
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Thomas Wise

Head of Enterprise Data
Grantham, Mayo, Van Otterloo & Co. LLC
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Stephen Gouthro

Head of Investment Services and Operations
Putnam Investments
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Jeb Avery

Director, Investment Data Management
Janus Henderson

Manjeev Kumar

Vice President, Syndicated Loans Technology
Deutsche Bank
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Olga Maydanchik

Vice President, CIO, Data Integration
Deutsche Bank
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Ayo Olayinka

Head of Data Governance
Mitsubishi UFJ Trust and Banking Corporation (MUTB)

6:05 PM - 7:30 PM FIMA 2018 Casino Night

7:30 PM - 7:30 PM End Of Main Day One