Day 3: Friday, August 25th

7:15 AM - 8:00 AM Networking Breakfast

8:05 AM - 8:10 AM Chairperson’s Day Two Recap

Joe Caserta, President, Caserta


Joe Caserta

Mainstream businesses face ongoing challenges in adopting big data and analytic practices. While some firms pay lip service to the notion of forging a data culture, fewer firms undertake the hard work. The benefits provided by new technology approaches and solutions are having a transformational impact on the application of data and analytics. However, the greatest business challenge for most mainstream corporations is not about technology; it is the process of cultural change.
Join us in this illuminating panel discussion as we review the issues to address when implementing and maintaining a change in culture, such as:
  • Addressing issues of organizational alignment, change management, business process design, coordination, and communication
  • Identifying and asking the critical business questions that will drive business value
  • Considering the critical human and organizational issues that will ensure successful business adoption
  • Determining how to leverage big data and analytics to drive innovation
  • Adapting and transforming culturally in response to the opportunity and challenges presented by big data


Rob Hauser

Vice President Clinical Analytics
Cancer Treatment Centers of America

Jesse Santos

Director, Head of Data Analytics and BI
BNY Mellon

Scott Richardson

Vice President – Chief Data Officer and Head of Corporate Technology
Fannie Mae

Patrick E. Conway

Chief Knowledge Officer (CKO)
U.S. Training and Doctrine Command (TRADOC)

9:00 AM - 9:30 AM Business Meetings

9:30 AM - 10:00 AM Business Meetings

Plenary Session

10:05 AM - 10:50 AM Big Data Winners and Losers: The Ethics of Algorithms

Bennett Borden, Chief Data Scientist and Chair, IGED Group, Drinker Biddle & Reath, LLP
Analytic models are playing an increasing role in the development, delivery and availability of goods and services. Who gets access to what goods or services and at what price are increasingly influenced by algorithms. This may not matter when we’re talking about a $0.25 coupon for a candy bar, but what about public goods and services like education, healthcare, and energy distribution? What about predicting who will get a job or how we will police our society?

In this session, we will explore:

  • The socioeconomic impact of algorithms
  • The ethics of big data
  • How to work ethics into our analytics projects


Bennett Borden

Chief Data Scientist and Chair, IGED Group
Drinker Biddle & Reath, LLP

Plenary Session

10:55 AM - 11:25 AM Transforming Predictive Analytics into Measurable Results

Eric VonDohlen, Chief Analytics Officer, Elevate
The discipline of data-driven decision making may be a wholly new approach to thinking about how to improve business performance for organizations that usually rely only on experience to drive outcomes. An assessment of analytics maturity is critical to company performance, and it’s important to define a framework for a repeatable analytics process.
Join this engaging discussion as we talk about the steps needed to create this framework, such as:
  • Defining how the organization communicates, sets and executes goals; and measures performance
  • Utilizing predictive analytics to better understand the behavior & tendencies of your customers
  • Developing a mix of strategies by balancing business objectives with the goals of customers
  • Implementing the best mix of strategies into the field and capturing the responses
  • Analyzing the results by comparing predictions, executed campaigns and customer responses to effectively evaluate the impact on business performance


Eric VonDohlen

Chief Analytics Officer

11:25 AM - 11:55 AM Business Meetings

11:55 AM - 12:00 PM Chairperson's Closing Remarks

Joe Caserta, President, Caserta


Joe Caserta


12:00 PM - 12:00 PM End of Exchange