ACI's Practical Guide to FCPA Data Analytics 2022 - DS

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ACI’s Practical Guide to

FCPA

Data Analytics

November 29, 2022 Gaylord National Resort & Convention Center Washington, DC

2022 CONFERENCE CO-CHAIRS Nkechi Iheme Global Anti-Bribery Lead and Senior Counsel Google

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Bryan Judice Global Head of Compliance Data Analytics and Monitoring Panasonic Corporation of North America (PNA)

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DISTINGUISHED FACULTY Co-Chairs Nkechi Iheme Global Anti-Bribery Lead and Senior Counsel Google Bryan Judice Global Head of Compliance Data Analytics and Monitoring Panasonic Corporation of North America (PNA)

Speaker Faculty Vincent Walden Chief Executive Officer Kona AI Natalia Shehadeh SVP & Chief Integrity Officer ABB (Switzerland) Praneeth Vepakomma Researcher Massachusetts Institute of Technology Carl Hahn VP and Chief Compliance Officer Northrop Grumman Corporation

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Ana Iacovetta Chief Compliance & Ethics Officer, VP and Deputy General Counsel VMWare

James Griffin Vice President Risk & Compliance Americas and Global Compliance Operations American Express Global Business Travel

Maureen Mohlenkamp VP, Chief Ethics & Compliance Officer DXC Technology

Andrew McBride Chief Compliance Officer Albemarle Corporation

Reynaldo Goto Chief Compliance Officer BRF (Brazil)

Jeannine Lemker Senior Global Ethics & Compliance Director Major, Lindsay & Africa

Travis Hunter Senior Vice President, Financial Crimes Compliance, US Head of Anti-Bribery and Corruption HSBC North America Holdings Inc.

Gurkan Ay Director Resolution Economics

Andy Gandhi Global Leader, Data Insights and Forensics Kroll Michael Duran SVP and Chief Ethics & Compliance Officer 3M Zachary N. Coseglia Managing Principal and Head of Innovation R&G Insights Lab

Joshua Black VP, Editorial Diligent Corporation Ally Bandoian Manager Resolution Economics Kwame Manley Partner Paul Hastings, LLP

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TUESDAY, NOVEMBER 29, 2022 8:30

Registration & Breakfast

9:15 Opening Remarks from the Co-Chairs Bryan Judice Global Head of Compliance Data Analytics and Monitoring Panasonic Corporation of North America (PNA)

Nkechi Iheme Global Anti-Bribery Lead and Senior Counsel Google

9:30 Developing Your Risk Profile: Utilizing Data Analytics for Risk Assessments and Identifying Compliance Weak Spots Compliance programs must be customized to the challenges facing each company; and be comprehensive enough to deal with all of the risks the company has identified. An effective risk assessment is crucial, and should begin with a detailed picture of the compliance landscape your company operates in.

Since your compliance efforts should be aimed squarely at the risks that are most critical to your business, it is important to identify all of the variables that that represent the threats and dangers.

James Griffin Vice President Risk & Compliance Americas and Global Compliance Operations American Express Global Business Travel

In this session we will examine best practices for identifying the threats and developing your risk profile, such as: • Developing an understanding of the current state of affairs; finding out what risks already exist; and documenting the key company processes, systems, and transactions that need to be monitored for risk • Ensuring a full understanding of your business operations when conducting a risk assessment • Mapping out the potential risk contact points that exist throughout your company • Assessing the current controls in place to prevent, detect, and correct violations • Determining and prioritizing the compliance enhancement measures you undertake • Updating your risk assessment periodically

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10:15 Data Acquisition — Accessing and Capturing Clean, High-Value Data Across Contrasting Systems and Multiple Data Sources After mapping your risk profile, the next step is to ensure that you are acquiring internal and external data from reliable sources. During this session our speakers will review real-world examples of data output reports; discuss how to assess the data; and, determine if the program is capturing the right data.

Andrew McBride Chief Compliance Officer Albemarle Corporation

Key Topics:

Jeannine Lemker Senior Global Ethics & Compliance Director Major, Lindsay & Africa

• Defining high-value data and progressively accessing it—to avoid accessing everything all at once • Collecting data across multiple different systems and assessing what data is important; what data is being captured; and what data is not being captured accurately • Identifying data sources and deciding how to aggregate the data to ensure good input and output • Evaluating the internal and third-party data analytics tools that are available, and deciding which data feeds your organization can leverage

Gurkan Ay Director Resolution Economics

• Cleaning the Data by utilizing a continuous feedback loop to eliminate false positives

11:00 Networking Break

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11:15 Data Governance: Managing Integrity, Conducting Risk Scoring and Handling Exception Processes An effective data governance program is comprised of many moving parts, as critical data can be coming in from a variety of sources, documents, systems, and technologies that are needed to run operations. In addition, it is crucial to evaluate existing and available resources—budget, personnel and technology—to navigate and prioritize areas of higher risk.

Join us in this session as we review key considerations when developing an effective data governance program, such as: • Do compliance and control personnel have the appropriate experience and qualifications for their roles and responsibilities?

• Has there been sufficient staffing for compliance personnel to effectively audit, document, analyze, and act on the results of the compliance effort?

• Determining what to do when payments and expenditures are above aggregate risk score thresholds: » Define what constitutes a red flag » Understand the details of the activity—and analyze whether approvals, third parties, amounts, and circumstances align with existing policies and procedures » Track and document each follow-up activity » Assess remediation and consider whether follow-up risk assessments, communication and/or discipline is necessary • Using data feeds for continuous risk re-assessments and monitoring program upgrades

Travis Hunter Senior Vice President, Financial Crimes Compliance, US Head of Anti-Bribery and Corruption HSBC North America Holdings Inc. Andy Gandhi Global Leader, Data Insights and Forensics Kroll Michael Duran SVP and Chief Ethics & Compliance Officer 3M Joshua Black VP, Editorial Diligent Corporation

• Providing training and ongoing support to ensure that employees and third parties can analyze incoming data to determine if it is consistent and trustworthy • Steps to take when data reveals employees and third parties are not following critical policies: » Understanding whether any controls failed » Determining if the employee received the appropriate compliance training—and if the compliance expectations were extended to third parties » Performing the appropriate investigative steps and addressing remediation » Deciding if additional predictive and detective measures should be implemented

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12:00 Implementing Automated Transaction Monitoring Applications for Real-Time Risk Detection and Analysis A data-driven compliance program requires having the monitoring tools that are necessary to retrieve data from multiple systems, databases, and different parts of the business automatically; both domestically and internationally. This often leads to the necessity of having the IT department build such a program in-house; and having data scientists analyze all of the data for risk identity and assessment.

However, many successful compliance analytics and transaction monitoring initiatives can be utilized with applications that do not require the construction of a costly and complicated on-premise infrastructure. The advantages of utilizing such applications from a compliance standpoint, is they put more control in the hands of the compliance team instead of IT—which may not prioritize the transactions in the same way.

Key Takeaways for this session: • Determining the next steps for the compliance team when addressing payments and transactions that are above aggregate risk score thresholds • Ensuring the data feeds and monitoring tools are coming in and working in real time—and developing processes for determining what warrants internal investigations and further action • Which transactions to monitor and how to monitor them: » Gifts

Maureen Mohlenkamp VP, Chief Ethics & Compliance Officer DXC Technology Reynaldo Goto Chief Compliance Officer BRF (Brazil) Patricia Borda Director, Compliance and Ethics Bristol Myers Squibb Bryan Judice Global Head of Compliance Data Analytics and Monitoring Panasonic Corporation of North America (PNA)

» Donations » Effective feedback through communications and HR teams • Identifying the solutions and applications that are needed to risk-rank transactions and geographic regions; to readily identify areas that require enhanced due diligence and potential internal investigations • Equipping the compliance team with data and “actionable insights” early in the transaction lifecycle, so they are able to make better-informed decisions

1:00

Networking Lunch

2:00 Special Interview

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2:30 Using Data Analytics to Measure the Effectiveness of Your Compliance Program: Concrete Examples of Using Metrics and KPIs to Evaluate Risk Detection and Compliance Red Flags Recent DOJ guidance stresses to companies the importance of leveraging data analytics and other objective evidence to demonstrate a compliance program is working effectively. As such, metrics-driven solutions are needed to align compliance accountability; and embed a proactive compliance function on the first line of defense.

Carl Hahn VP and Chief Compliance Officer Northrop Grumman Corporation

By utilizing compliance metrics to identify corruption risks early, companies are in a better position to reduce risks and understand whether the correct controls are in place.

Ana Iacovetta Chief Compliance & Ethics Officer, VP and Deputy General Counsel VMWare

Key Takeaways: • The importance of tracking the numbers at regular intervals, and keeping records over an extended time period; in order to have a firm grasp on trends, and the ability to compare where you are now versus where you started • Determining which compliance metrics to measure, and comparing them to industry standards and benchmarks for improved predictability • Assembling qualitative data-gathering tools—such as surveys and questionnaires—to encourage adaptability and accountability • Concrete examples of metrics used for assessing and analyzing risk

AUDIENCE POLLING

3:30

Networking Break

3:45

AUDIENCE POLLING – CASE STUDY

Zachary N. Coseglia Managing Principal and Head of Innovation R&G Insights Lab Ally Bandoian Manager Resolution Economics

Behind the Scenes of Building an Effective Data Analytics Program: How to Know if You Are Achieving True Data-Driven Compliance and Monitoring This session will walk you through a practical case study that defines how to get started and refine your blueprint for effective data-driven compliance and monitoring.

Topics will include:

Kwame Manley Partner Paul Hastings, LLP

• The goals for those compliance analytics efforts • Detailed walk-throughs of those compliance analytics efforts • Approaches to building such programs (e.g., internal, external or hybrid) and the resources needed • Identifying the data needed, the process for acquiring the data and overcoming challenges around data availability and quality • Connecting monitoring programs with existing or new pre-approval systems

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4:30 Utilizing Artificial Intelligence and Machine Learning for Investigations and Compliance: The Latest Best Practices and Innovation for Upgrading Your Approach AI and ML technology can improve the efficiency of compliance operations and reduce costs in today's data-driven compliance environment, by autonomously categorizing compliance-related activities and alerting them to important updates, events and activities.

Vincent Walden Chief Executive Officer Kona AI

In this session we will discuss the advantages and best practices for leveraging AI and ML in your compliance program:

Natalia Shehadeh SVP & Chief Integrity Officer ABB (Switzerland)

• Conducting periodic reviews of your risk assessment program, based on continuous access to operational data and information over time and across functions • Leveraging Machine Learning by learning from past data and past transactions, and by reviewing false positives • What can be gleaned from anomaly detection • Feeding back learnings from algorithms and human learning that allow you to leverage AI and ML toward making them more predictive • Managing risk around your third-party organization over the “lifespan” of the relationship • Identifying emerging risk factors before they become a broader compliance concern—and assessing whether or not a review or an internal investigation is needed

Praneeth Vepakomma Researcher Massachusetts Institute of Technology Andrew McBride Chief Compliance Officer Albemarle Corporation

5:30

Networking Cocktail Reception and Registration for Main FCPA Conference

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Accreditation will be sought in those jurisdictions requested by the registrants which have continuing education requirements.

This course is identified as nontransitional for the purposes of CLE accreditation.

ACI certifies this activity has been approved for CLE credit by the State Bar of California.

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CONTINUING PROFESSIONAL EDUCATION CREDITS American Conference Institute is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of Continuing Professional Education (CPE) on the National Registry of CPE Sponsors.

State Boards of Accountancy have final authority on the acceptance of individual courses for CPE credit.

Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org.

Course objective: Harnessing Data Analytics for FCPA Compliance and Monitoring y Developing Your Risk Profile: Utilizing Data Analytics for Risk Assessments and Identifying Compliance Weak Spots

Who should attend: 1) C-Suite Officers in the following areas: y Chief Compliance Officers

y Chief Data Officers

y General Counsel

y Chief Analytics Officers / Chief Data & Analytics Officers

y Chief Legal Officers y Chief Privacy Officer

y Chief Data Scientists

2) VP’s / Managing Directors / Directors / Managers in:

y Data Acquisition – Accessing and Capturing Clean, High-Value Data Across Contrasting Systems and Multiple Data Sources

y Anti-Corruption

y Legal / Litigation

y Anti-Bribery

y Internal Audit

y Data Governance: Managing Integrity, Conducting Risk Scoring and Handling Exception Processes

y Analytics & Monitoring / Global Compliance Monitoring

y Forensics

y Ethics & Compliance

y Risk & Compliance Operations

y Implementing Automated Transaction Monitoring Applications for Real-Time Risk Detection and Analysis y Special Government Keynote y Using Data Analytics to Measure the Effectiveness of Your Compliance Program: Concrete Examples of Using Metrics and KPIs to Evaluate Risk Detection and Compliance Red Flags

y Third Party Management

y Fraud Investigation & Litigation

TEACHING METHOD: Group Live and Group Internet Based DELIVERY METHOD: Group Live and Group Internet Based

y Behind the Scenes of Building an Effective Data Analytics Program: How to Know if You Are Achieving True Data-Driven Compliance and Monitoring

For more information and to submit your CPE request visit: https://www.AmericanConference.com/accreditation-instructions-for-virtual-attendance/#CPE

y Utilizing Artificial Intelligence and Machine Learning for Investigations and Compliance: The Latest Best Practices and Innovation for Upgrading Your Approach

Refunds and Cancellations: Requests for refunds must be received in writing by November 19, 2022. For more information regarding refund, complaint, and/or program cancellation policies please contact our offices at 1-888-224-2480.

Field of Study: Business Law Prerequisite: None.

Level of knowledge: Basic Advanced Preparation: None

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