CDAO Executive Think Tank

Networking Breakfast and Registration

Opening Remarks from the Co-Chairs

Lana DeMaria, CISA, CIPP, MBA
Head of Data Governance and Privacy
Alaska Airlines

Gretchen Stewart
Chief Data Scientist
Intel Corporation

Awah Teh
VP, Data Governance & Privacy Engineering
Capital One

Keynote Presentation

Utilizing AI and Data Science to Transform Data into Business Value

Inderpal Bhandari
Global Chief Data Officer
IBM

Join a cannot-miss Opening Keynote with IBM’s Global Chief Data Officer Inderpal Bhandari with a special presentation on the transformative power of AI and data science to transform data into business value with a focus on the ways organizations can leverage these technologies to turn data into actionable insights and create business value.

How Data Leaders Can Leverage AI to Improve Data-Driven Decision-Making Across the Organization

Rob Mixon
Chief, Data Analytics Branch
U.S. Air Force

AI can be a powerful tool for data leaders to make better decisions. By leveraging predictive analytics, Natural Language Processing (NLP), personalized recommendations, fraud detection, risk management, and supply chain optimization, data leaders can make informed decisions that improve business outcomes and drive growth. During our opening panel on AI, we will explore:

• Using AI-informed insights to forecast future trends, identify opportunities, and make informed decisions
• Using NLP to analyze customer feedback, social media posts, and other sources of unstructured data to understand customer sentiment and preferences, and make data-driven decisions
• Using personal recommendations from AI to increase customer engagement and loyalty, and ultimately drive revenue
• Regularly monitoring and evaluating your AI systems, and investing in AI literacy and education

Networking Break

Implementing Modern Cloud Frameworks: Replacing Legacy IT and Data Silos

David Fogarty
Head of Enterprise Data Analytics
Evernorth Health Services

Implementing modern cloud frameworks that are secure, scalable, and efficient, can be a complex process – especially when faced with the massive challenges of data siloes and legacy IT systems. During this panel, we will explore:

• Choosing a cloud framework and deployment model that aligns with your requirements and budget
• Planning your cloud architecture based on factors such as scalability, security, and cost
• Creating and configuring the necessary infrastructure, including virtual machines, storage, and network settings
• Deploying your application to the cloud environment using modern technologies, including containers or serverless computing
• Continuously monitoring and optimizing your application to ensure it is performing well and meeting user needs

Networking Luncheon

Partnering with Business Units to Identify Data-Driven Opportunities and Drive Business Value

Roshan Hussain
Chief Data Officer
UK Healthcare

Chris Hutchins
SVP, Chief Data and Analytics Officer
Lifepoint Health

Anne Levine
Former Deputy Chief Data Officer, Office of Economics and Analytics
Federal Communications Commission (FCC)

Barkha Saxena
Chief Data Officer
Poshmark

Joel Shapiro
Clinical Associate Professor of Data Analytics
Northwestern University

Identifying data-driven opportunities requires a collaborative effort between data professionals and business units within an organization. During this panel, we will explore steps to consider when partnering with business units to identify data-driven opportunities that will ultimately drive overall business value. During this panel discussion, we will explore:

• Clearly understanding the objectives and goals of the business units you are working with to identify areas where data can have the most impact
• Identifying relevant data sources to achieve goals across business units
• Establishing clear communication channels with all stakeholders that are involved in the overall business objectives
• Using data to drive decisions across the organization and empowering your data teams to make decisions that support overall business objectives

Driving the Data-Science Strategy: The Ideal Approach to Building In-House Data Science Capabilities

Mehrdad Heydarzadeh
VP of Data Science and Technology Lead
Goldman Sachs

David Fogarty
Head of Enterprise Data Analytics
Evernorth Health Services

In today’s fast-paced business environment, data and data science have become essential ingredients for making informed decisions. Creating a data-driven culture within an organization can provide a significant competitive advantage. This panel explores the steps involved in creating a data-driven culture, including defining the vision, establishing goals and metrics, building a data infrastructure, developing analytical capabilities, and fostering a data-driven mindset.

During this panel, we will explore:

• Defining a clear vision for how data will be used within the organization, and communicate it to all stakeholders Guidance on the new federal data
• Identifying the key metrics that will be used to measure success, and establish goals around them
• Building a data infrastructure and investing in the tools and technologies needed to collect, store, and analyze data effectively
• Developing analytical capabilities by providing training and resources to enable employees to analyze and interpret data effectively
• Fostering a data-driven mindset by encouraging a culture of data-driven decision making, where data is valued for driving business decisions

Networking Break

Implementing Everyday Business Uses of Generative AI and Large Language Models (LLMs) Like ChatGPT

Simon Hughes, PhD
Distinguished Data Scientist
The Home Depot

The role of AI’s Large Language Models has become increasingly important in recent years as organizations look to leverage their data assets to create new revenue streams and deliver business value. During this panel, we will discuss ways in which CDOs are using the LLMs to create new revenue streams and deliver business value, including:

• Using Cloud-based data management platforms to create a more agile data infrastructure that can support faster decision-making and enable the organization to take advantage of new opportunities
• Leveraging Cloud-based analytics platforms to analyze large volumes of data and identify patterns and trends so the CDOs can quickly respond to changes in the market and make data-driven decisions that drive growth
• Using AI and Machine Learning to uncover hidden insights in your data
• Enabling collaboration and data sharing with internal teams and external partners, enabling them to share data and insights across the organization to drive innovation and identify new revenue streams
• Scaling your data infrastructure up or down as needed, enabling reduced costs, improved efficiency, and new revenue opportunities

Keynote Presentation

Faster Business Outcomes Enabled by Embedded Governance

Santosh Kudva
Chief Data Officer
GE Power

In our closing keynote presentation, join the Chief Data Officer with GE Power for an informative session on gaining faster business outcomes via self-service and enabled by embedded governance.

Day 1 Adjourns to Networking Cocktail Reception

Networking Breakfast and Registration

Opening Remarks from the Co-Chairs

Lana DeMaria, CISA, CIPP, MBA
Head of Data Governance and Privacy
Alaska Airlines

Gretchen Stewart
Chief Data Scientist
Intel Corporation

Awah Teh
VP, Data Governance & Privacy Engineering
Capital One

Keynote Presentation

Erik Zwiefel
Chief Data and Analytics Officer, Americas Data & AI
Microsoft

Maximizing the Utility of ESG Data Across the Enterprise

Deepak Chandani
Chief Data Officer
Angel One

Vipul Gupta
VP Data and Analytics
Baker Hughes

Data and analytics have become increasingly important tools for organizations and individuals to understand and address complex social and environmental challenges. During this important panel focused on D&A for Good, we will explore examples of how data leaders from leading organizations (both publica and private) are using data and analytics for good, including:

• Environmental Protection: How the Nature Conservancy is using data and analytics to identify areas that are most vulnerable to climate change and to develop strategies for protecting biodiversity and ecosystems
• Public Health: Breakdown of HealthMap, a global disease surveillance system that uses data from news reports, social media, and other sources to identify outbreaks of infectious diseases in real time so that public health officials can respond quickly to contain outbreaks and save lives
• Social Justice: How The Sentencing Project uses data and analytics to study the impact of mass incarceration and advocate for criminal justice reform
• Disaster Response: The American Red Cross uses data and analytics to predict where disasters are likely to occur and to plan their response, and they use data to track the needs of affected communities and to target resources where they are most needed

Networking Break and Refreshments

The Art of Powerful Data Storytelling: Data Visualization Best Practices to Drive a Strong Data Storytelling Strategy

Zee Moradi
Chief Data Officer and Executive Director, UBS Bank USA
UBS

Good data storytelling requires more than just presenting data. It’s about creating a compelling narrative that allows the data to speak for itself. One effective way to do this is through data visualization. During this panel discussion, we will explore some best practices for data visualization that can help drive your data storytelling strategy, including:

• Focusing on the key message you want to convey and using the data necessary to support it
• Choosing a chart that makes the data easy to understand
• Identifying the most effective data visualizations for your data
• Examples of storytelling visualization

Networking Luncheon

Data Governance Best Practices that Ensure Robust Data Security

Kelly Dearwester
Chief Data Officer
Old National Bank

Subhasis Bhattacharya
Executive Director - Engineering
athenahealth

Data security is an essential aspect of modern-day business operations. With the increasing amount of sensitive data being generated and shared across various platforms, it is crucial to adopt robust data security measures to protect against unauthorized access, theft, or misuse. Here are some of the latest data security measures that can help protect sensitive data:

• Defining your organization’s data governance goals and objectives
• Creating a sustainable and strong data governance framework
• Defining data ownership within the organization
• Implementing data quality controls to ensure that data quality controls are in place to identify and correct data errors and inconsistencies
• Implementing robust data security measures to protect sensitive data from unauthorized access, theft, or misuse

Data Privacy in 2023: Understanding the New U.S. Data Privacy Laws that Should Be at the Top of Every Data Leader’s Radar, and Navigating the Fundamental Shift Happening with Data Privacy

Lana DeMaria, CISA, CIPP, MBA
Head of Data Governance and Privacy
Alaska Airlines

Awah Teh
VP, Data Governance & Privacy Engineering
Capital One

The U.S. has seen a flurry of new data privacy laws in recent years, with more on the horizon. During this timely panel discussion, we will explore some of the key laws that data leaders should be aware of, including keys to navigating the fundamental shift happening with data privacy. During this panel, we will explore:

• Understanding the newest in U.S. data privacy laws
• Creating clear guidelines responding to privacy incidents
• Educating employees on data privacy best practices and ensuring that vendors and partners are following data privacy and security protocols
• Investing in technologies that can protect sensitive data, including data discovery and classification tools, encryption, and access controls

Networking Break

Guide to AI Ethics and Regulation for CDOs: Designing an Ethical Framework for AI Across the Enterprise

Anurag Voleti
Vice President and Chief Data Officer
Blue Cross Blue Shield Association

There are many questions regarding the existing laws and regulations applied to the use of AI – from anti-discrimination to antitrust to intellectual property laws. During this panel, we will explore the rapidly evolving scope and nature of AI that is driving responsible innovation, including:

• Opportunities and risks presented by use of Responsible AI that is transparent, rigorous, and responsible
• Implementing human-centered designs that are inclusive, accessible, and meet the needs of diverse communities
• Considerations for issues like privacy, security, bias, and discrimination, and working to mitigate these risks through responsible design and development

Creating a Data-Driven Culture that Supports Business Growth

Ido Biger
Chief Data Officer
Delek US Holdings

Marc D. Paradis
Vice President of Data Strategy
Northwell Holdings

Vishal Patel
Chief Data & Analytics Officeer and Executive Managing Director
Webster Bank

Luis Alejandro Velandia
Chief Data and Analytics Officer
Best Doctors Insurance

Rosaella Branson
Chief Data Officer, Bureau of Technology
Cook County Government

During this important panel discussion, we will explore best practices for creating a true data-driven organization by boosting data literacy across the organization and other critical discussion points, including:

• Establishing clear policies and guidelines for data management – including data quality, data security, and data privacy – to ensure that everyone in the organization is using data correctly and consistently
• Providing training sessions, online courses, and data visualization tools to help people better understand data and how to use it
• Encouraging collaboration between departments and teams to share insights and data-driven ideas to help break down silos and encourage a culture of data sharing and collaboration
• Fostering a culture that values data and encourages data-driven decision making by providing access to real-time data, encouraging experimentation, and rewarding data-driven successes

Closing Remarks from the Co-Chairs and Conference Adjourns