2018 New York CDO Inner Circle

Governing Body Agenda Location Partners Contact

Collaborate with your peers

Get together with your peers to tackle top business challenges through peer-driven content and discussions at the New York CDO Inner Circle.

Join your peers to discuss the most critical issues impacting CDOs today:

Adopting D&A strategies and operating models that deliver business value in volatile environments

Generating measurable economic benefits to the business from data assets and advanced analytics

Becoming a master change agent and driving data literacy across the enterprise

Co-Chairs

Suzanne Anderson

Johnson & Johnson
VP, Supply Chain Data Management

Julia Bardmesser

Voya Financial
SVP, Head of Data, Architecture and Analytics.

John Fleming

BNY Mellon
Chief Data Governance Officer

Dan Kurak

AIG
Global Head of Data Quality

Olga Lagunova

Pitney Bowes Inc.
Chief Data Officer

Glenn Peipert

Metlife Investments
Chief Data Officer

Sean Yazdi

Toys''R''Us, Inc.
Executive Director - Global Reporting and Analytics

Agenda

March 29, 2018

4:00pm - 5:00pm Registration & Opening Reception

5:00pm - 6:30pm Discussion Topics

Leading Digital, Data and Analytics in the Enterprise

On the rapidly emerging main stage of data and analytics, the role of the CDO is one of the most challenging positions. CDOs have been evolving into data and analytics champions at a steady pace, with recent acceleration due to analytics programs maturing to include data science, machine learning and artificial intelligence. Today’s CDO is expected to not deliver on traditional needs, but respond to new and innovative opportunities. In this dinner, you’ll have a chance to talk with your CDO peers about how to put data to work, build the optimal team and rethink the way AI and machine learning can change your business.

Putting Data and Analytics Principles to Work

Where are you on the descriptive, predictive, prescriptive analytics maturity continuum? How are you taking the next step?
In what ways are you monetizing data?
How can you increase the value of data that’s already being created?
How do you measure ROI for a data analytics initiative?

Getting Results With AI and Machine Learning

What tools, methodologies or infrastructures are instrumental in your plans to leverage AI?
What business applications do you or would you use natural language processing for?
In what ways are you using AI?
How are you applying predictive modeling?

Putting Together the Right Talent and Teams

Are you focused on building or buying data talent? What has worked?
Does moving from a traditional model to a cloud platform change the way you staff or recruit?
What is the optimal composition of a great analytics team?
Where does the analytics team fit into your organization?