August 04 - 06, 2019 |
The Drake Hotel, Chicago, IL

Day 2: Monday August 5th, 2019

8:00 am - 8:55 am Breakfast Briefing: Delivering on a Dream- Make Data the Reality

Have you ever wondered how you can harness the value from all of your information? It sounds incredible but today’s modern platforms that provide insight more efficiently rely on open platforms like Redhat to put more horsepower at your fingertips. Taking advantage of innovative platforms not only allow you to get that data more efficiently but also automate your steps while using them.  Prolifics will share with you innovations in today’s Data Fabric landscape that are available to help you get the Enterprise Modernization job done faster.


Brian Kordelski, Global Sales Leader, Data Fabric at Prolifics

Brian Kordelski

Global Sales Leader, Data Fabric
Prolifics

Ted Sfikas, Director of Solutions Consulting, North America & LATAM at Tealium

Ted Sfikas

Director of Solutions Consulting, North America & LATAM
Tealium

9:00 am - 9:30 am Re-evaluating Risk Assessment And Expanding The Breadth Of Alternative Data Sources

The Fintech Revolution has already begun to transform the ways in which financial institutions and multinational corporation’s access and leverage risk throughout a diverse set of business units. Explore the ways in which the availability of real-time, streaming data can allow you to gain a 360-degree view of the role credit decisions play in both the lives of your customers and business model. As fintech continues to its path of disruption it’s increasingly important to be aware of how to approach issues that might arise between front and back office teams regarding the role analytics will play in the middle to long term. (i.e.- real time accounts management, open banking as a means to serve previously underservedpopulations, etc.)

Significant themes discussed include:

  •  Potential regulatory challenges which could affect growth opportunities
  •  How can companies leverage fintech to encourage better financial habits for particularly among tech-savvy Millennial consumers?
  •  Developing models to factor bias and encourage ethics in AI
  •  Successful use cases of chatbot technology and importance of deploying at appropriate points of the customer journey
  •  Using data enrichment to provide contextual awareness
Andrew Reiskind, Senior Vice President, Data Strategy at MasterCard

Andrew Reiskind

Senior Vice President, Data Strategy
MasterCard

9:30 am - 10:00 am Optimizing the Consumer Experience Through Analytics

We live in a world where data is generated all around us. At Whirlpool, we collect massive amounts of data on consumer feedback and product performance. Leveraging this data to drive insights and actions on how to improve the overall consumer experience is a top priority. Learn how consumer and product data initiatives at Whirlpool that focus on predicting and preventing quality issues improve the consumer experience and deliver value to the company’s bottom line.   


Paul Hyink, Vice President of Global Quality (CQO) at Whirlpool Corporation

Paul Hyink

Vice President of Global Quality (CQO)
Whirlpool Corporation

10:00 am - 10:30 am Data Innovation in the Face of Policy Updates, GDPR, CCPA, ITP & Other Fun Intialisms

Data Innovation is the lifeblood of most companies in the media & ad-tech space, as they strive to build personalized, customized experiences and features for consumers, while trying to connect consumers with the most relevant and monetizable advertisements. Over time, organizations undergo shifts in their data policy, reacting not only to external events and competitive challenges, but also due to changes in risk appetite. Recently, regulations such as GDPR, CCPA - not to mention several additional states considering creating consumer data privacy laws - have further exacerbated these challenges. ITP is yet another development that portends to limit innovating with data.

In this talk, I will cover the journey Verizon Media has undergone since Verizon closed the acquisition of Yahoo. I will provide a peek into select data solutions, and discuss how we are building consumer oriented constructs and capabilities in response to the changing policy and regulatory landscape.
Varun Bhagwan, Vice President, Product Management & Engineering - Data, Measurements, & Insights at Verizon Media

Varun Bhagwan

Vice President, Product Management & Engineering - Data, Measurements, & Insights
Verizon Media

10:30 am - 11:00 am Putting Models to Work in Your Business- Supercharging ROI for Data Science through Model Operations



11:00 am - 11:15 am Networking Break



11:15 am - 11:45 am Business Meeting

11:45 am - 12:15 pm Business Meeting

12:15 pm - 12:45 pm Business Meeting

This session will explore the role that an Analytics Center of Excellence plays in promoting enterprise-wide adoption of BI tools. Topics discussed include:

Challenges to sharing data across departments and agencies

  •  Creating a 3-5 year vision to ensure enterprise-wide adoption over the medium to long term
  •  AI Center of Excellence
  •  Ideal structure of a CoE: leadership group, community practice, innovation space
Annette Jonker, Solutions Architect at OmniSci

Annette Jonker

Solutions Architect
OmniSci

Thomas Dunlap, Chief Data Officer, Information Services Division at London Stock Exchange Group (LSEG)

Thomas Dunlap

Chief Data Officer, Information Services Division
London Stock Exchange Group (LSEG)

Venkat Veeramani, Senior Vice President, Risk Analytics & Strategy at Wintrust Financial Corporation

Venkat Veeramani

Senior Vice President, Risk Analytics & Strategy
Wintrust Financial Corporation

Raj Polanki, Head of Analytics & Data Science- Americas Regions at Wacker Chemie AG

Raj Polanki

Head of Analytics & Data Science- Americas Regions
Wacker Chemie AG

Raj Subbu, Director, Data Science & Analytics at Pratt & Whitney

Raj Subbu

Director, Data Science & Analytics
Pratt & Whitney

1:25 pm - 2:25 pm Networking Lunch



2:25 pm - 3:25 pm Practitioner Roundtable Discussions

Earlier in the Exchange, we collected your insights and challenges in the data and analytic space using the Thoughtexchange social learning tool. During this follow-up session, you’ll have dedicated time to sit with your peers and develop an action plan to improve data and analytics operations.

3:25 pm - 3:55 pm Adopting AI / ML and Avoiding Pitfalls Along the Way

Why are enterprises in every industry adopting Artificial Intelligence (AI) and Machine Learning (ML)?  Is it really all about killer robots and mobile phone assistants? What does AI / ML really mean for your organization? What does it take to build and develop AI-based solutions to drive competitive advantage?
 
Topics discussed will include:
 
  • Criteria for success with AI / ML
  • Building and developing AI / ML solutions
  • Avoiding common mistakes and pitfalls
Victor Ghadban, Field Chief Technology Officer at BlueData

Victor Ghadban

Field Chief Technology Officer
BlueData

Brainweave

4:00 pm - 4:45 pm Strategies for Tackling Defensive and Offensive Data Management

How are data leaders applying best practices to managing the data supply chain, empowering stakeholders to collaborate, and sharing trusted data throughout the organization? Discuss how the industry is successfully automating data lineage and governance, creating transparency to build trust and accessibility, reducing 100’s of hours of time to find and deliver data down to minutes – all while staying compliant.  
In this BrainWeave Session you’ll discuss how to:
  • Trust and deliver data across multiple BI platforms
  • Manage the wake of data redundancy left behind from data prep tools
  • Assure data privacy in the modern BI environments
  • Effectively buy and use 3rd party data
  • Collaborate, rank, and recommend data
  • Harmonize multiple compliance regulations on the same data


Sue Habas, Vice President, Strategic Technologies at ASG Technologies

Sue Habas

Vice President, Strategic Technologies
ASG Technologies

Masterclass

4:00 pm - 4:45 pm Achieving the "Nirvana" of Self-Service Data Science
Many analyst professionals might think it’s some kind of “data nirvana” to achieve self-service data science. It’s easy to see why. You have a difficult time hiring the right talent. Based on the Annual CDO Survey from Gartner, 59% of Chief Data Officers say they feel too far behind on attracting and hiring analyst talent. Once you do hire talent, organizations report they can only analyze 12% of their data accurately.
 
The great news is that it's possible to achieve this “data nirvana” and offer self-service data science. Dr. Mike Kim, Co-Founder and CTO of Outlier, will present in this session the following:

●             What are some of the current challenges to consider before migrating to self-service?
●             How automating collection and analysis phases of data science can help to achieve self-service
●             Examples of organizations who have adopted a self-service data science philosophy
Dr. Mike Kim, Chief Technology Officer and Co-Founder at Outlier

Dr. Mike Kim

Chief Technology Officer and Co-Founder
Outlier

4:45 pm - 5:00 pm Networking Break



5:00 pm - 5:30 pm Business Meetings

5:30 pm - 6:00 pm Business Meeting

6:00 pm - 6:30 pm Business Meetings

6:30 pm - 7:00 pm Developing an Agile, Collaborative Data Science Team & Creating Enterprise-Wide Data Literacy

American Tire Distributors, founded in 1954, has enjoyed explosive growth during the past decade thanks to a renewed focus on leveraging the power of data analytics to meet the evolving needs of wholesalers. Creating and institutionalizing a data science team is fraught with many challenges and requires significant organizational alignment and collaboration. Tim Eisenmann, Chief Analytics Officer & SVP Advanced Analytics, will lead this discussion focused on how to optimize your data science team and scale it up to create significant enterprise value.

Join this session to learn about topics including:
• Effective strategies to operationalize use cases and implement final production while optimizing your data science team
• Aligning the analytics ecosystem to best serve the specific needs of your data science team
• Developing training tools to upskill/reskill end-users to improve last-mile adoption
• Strategies to develop data literacy across the organization and encourage cross-functionality of your data science team
Tim Eisenmann, Chief Analytics Officer at American Tire Distributors

Tim Eisenmann

Chief Analytics Officer
American Tire Distributors

Roundtable Discussions

7:00 pm - 7:30 pm Infonomics: The New Economics of Information

Increasingly, IT and business leaders talk about information as one of their most important assets. But few behave as if it is. Executives report to the board on the health of their workforce, their financials, their customers, and their partnerships, but rarely the health of their information assets. And corporations typically exhibit greater discipline in managing and accounting for their office furniture than their data. 
 
In this talk, Mr. Laney will share insights from his best-selling book, Infonomics, about how organizations can actually treat information as an actual enterprise asset. He will discuss why information both is and isn’t an asset and property, and what this means to organizations and data leaders such as chief data officers. And he will cover the issues of information ownership, rights, and privileges, along with alternative data challenges and opportunities, and his set of generally accepted information principles culled from other asset management disciplines.  
 
This presentation will be beneficial for those looking to help their organization move beyond the trite “data is an asset” or “data is the new oil” lip-service to actually begin acting that way. 

Participants will learn and have an opportunity to discuss: 
 
  • How to monetize information assets in a wide variety of ways, including a number of real world examples
  • How to manage information as an actual asset by apply asset management principles and practices from other asset domains 
  • How to measure information’s potential and realized value to help budget for and prove data management benefits
  • How classic microeconomic concepts can be applied to information for improved data architecture & management, and economic benefits
Doug Laney, Principal, Data Strategist at Caserta

Doug Laney

Principal, Data Strategist
Caserta

7:45 pm - 8:15 pm Cocktail Reception



8:15 pm - 8:45 pm Networking Dinner