Day 1: Sunday, January 26th

10:30 am - 11:00 am Registration

11:00 am - 11:10 am Welcome Orientation & Technology Introduction

11:10 am - 11:15 am Chairperson's Opening Remarks

Chuck Kane - Vice President, Advanced Solutions, Pitney Bowes

Chuck Kane

Vice President, Advanced Solutions
Pitney Bowes

11:15 am - 11:45 am Leveraging Data & Advanced Analytics to Empower a Socially-Driven Organization

Jeremy Forman - Director, Enterprise Architecture, Global Data & Analytics, Bill & Melinda Gates Foundation
The advent of advanced analytics has allowed the Bill & Melinda Gates Foundation to develop an innovative, data-driven approach towards identifying projects which stand to bring about a quantifiable impact on countless human lives globally. While the organization has a long-standing history of innovation, it’s not immune to the internal challenges that come along with the adoption of a data-driven culture. Jeremy Forman, Director, Advanced Analytics, will offer his insights into implementing people-focused strategies to create organizational alignment and cross-departmental buy-in during a technological transformation at one of the world’s leaders in venture philanthropy. 

Jeremy Forman

Director, Enterprise Architecture, Global Data & Analytics
Bill & Melinda Gates Foundation

11:45 am - 12:15 pm Disrupt & Outpace: Realize the Dream of Becoming a Data-Driven Business

Bipin Sanhi - Executive Advisor, Persistent Systems
Data related projects and programs are at the heart of an organization’s ability to introduce new products and services at a faster pace, optimize costs, and operate processes most efficiently. Yet, 85% of data projects never make it into production and fail to deliver business outcomes. The complexity of choice and integration plagues most data initiatives. Data leaders struggle with picking the right tool from a vast landscape with countless choices and getting it to work in their setup.  The result is that they often end up losing the first-mover advantage and expose themselves to the risk of disruption.
In this session, you will learn how you can
·         Simplify the complexity of choice and integration and accelerate data-driven initiatives
·         Ensure that your data related projects deliver business outcomes without having to spend 6 months
·         Eliminate high levels of risk and uncertainty typical of data projects
·         Leverage data to become the disruptor instead of being disrupted

Bipin Sanhi

Executive Advisor
Persistent Systems

12:15 pm - 1:15 pm Networking Lunch

1:15 pm - 1:55 pm How to Test & Measure with Agility During a Retail Transformation

Meghna Sinha - Vice President, Data Science & Analytics, Target
In Target’s most recent quarter, the retail giant reported comparable sales growth of about 10% over the last two years – the best sales performance in over a decade. The company has also now achieved nine straight quarters of comparable-store sales growth, with annual digital sales exceeding 30%. This growth is fueled by a multiyear $7b investment Target made to compete in the evolving retail landscape and to appeal to a new generation of digitally-native consumers. The investment focused on stores, new brands, e-commerce, speedier delivery services and technology.

Meghna Sinha, Target Vice President of Data Sciences, will delve into her statistical test-and-measure approach to help the retailer navigate the many large-scale changes underway. Business transformation efforts are often inter-related, for example, supply chain transformation efforts impact stores, and changes in marketing strategies impact both digital and store sales. Therefore, a good read on the value of each effort is critical. This kind of measurement enables Target to pivot and/or iterate with speed on initiatives across the enterprise.
Join this session to hear how Target is building a test-and-measure culture by focusing on three challenges: 
•More data can lead to more confusion. Governance of measurement is critical at large organizations.
•Robust test design requires statistical expertise. Organizations must prioritize hiring and teaching statistical and analytical skills.
•Manual steps should be continuously automated to enable end-to-end automation of testing and measurement.


Meghna Sinha

Vice President, Data Science & Analytics

1:55 pm - 2:25 pm Transforming Your Data Science & Analytics Team Into Storytellers

Mary Purk - Executive Director, Wharton Customer Analytics, The Wharton School, University of Pennsylvania
What talent are you chasing for your DS and Analytics teams to leapfrog competitors?  The best data architects/modelers, or the best framers/storytellers? Or a combination?

Companies are increasingly engaging in innovative corporate strategies and challenges that stand to greatly benefit from academic inquiry. Firm boundaries are constantly being reconsidered by both digitally native firms (like Google and Amazon) and more traditional firms (like Comcast and McDonald’s) alike. New technologies and applications, such as ML, blockchain and AI are influencing corporate data and analytics strategies in ways that are only partially understood. It’s critical that enterprises foster a true, learning-based conversation around the effective use of such technologies and the framework that should govern their use.    By no coincidence, there is an increasing number of corporate/academic alliances that provide scale and scope to address the need for better, data-driven decision making. Many companies have fundamentally shifted how academics and industry are fostering collaboration to streamline business value, talent pipelines and innovation.  Key components shaping this trend are the need for unicorn talent integration into teams, selecting the correct rabbit holes/questions to answer, and fostering an adaptive business culture. Companies are recognizing that a handful of artful storytellers are the last puzzle piece needed to maximize the investment in DS unicorns, data lakes and terabytes of data.
Gain insight into how organizations are successfully utilizing academic partnerships to:
         Create collaborative data sharing and analytic inquiry approaches beyond technical infrastructure
         Leverage learning partnerships in talent investments
         Challenge corporate culture and status quo
         Balance quick wins vs. long term projects
         Influence IT capital investments/ROI

Mary Purk

Executive Director, Wharton Customer Analytics
The Wharton School, University of Pennsylvania

2:25 pm - 2:55 pm Business Meetings

2:55 pm - 3:25 pm Business Meetings

3:25 pm - 3:55 pm Business Meetings

3:55 pm - 4:10 pm Networking Break

Master Class

4:10 pm - 4:55 pm Accelerating Enterprise Data & AI-Turning Data Into Business Value
Caitlin Halferty - Director, AI Accelerator & Client Success, IBM

Caitlin Halferty

Director, AI Accelerator & Client Success


4:10 pm - 4:55 pm Achieving the Nirvana of Self-Service Data Science
Dr. Michael Kim - Chief Technology Officer & Founder,
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 MasterClass 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 

Dr. Michael Kim

Chief Technology Officer & Founder

While recently recruited data scientist bring a wealth of knowledge and expertise to your team, it can be a challenge to develop the critical soft skills and business acumen that will add long-term value to the enterprise. Join this lively discussion of the strategies that today’s data leaders are employing to transform recent recruits into real-world, data focused business analysts

Deepna Devkar

Vice President, Data Science & Engineering


Atika Sehgal

Senior Director, Advanced Analytics


Ren Zhang

Chief Data Scientist
BMO Harris Bank


Sumanda Basu

Director, Data Management Technology
Societe Generale Corporate & Investment Banking

Quick fire presentations, 10 minutes each, designed to ignite innovation. They will inform you of new technologies and trends that top CDAOs are leveraging to bring value to their organizations.

Ignite Sessions

5:40 pm - 5:50 pm Your Competitive Edge Starts Here

5:50 pm - 6:00 pm Customer Experience in the Modern Digital World

Monica Mullen - Principal Solutions Marketing Manager, Informatica
Today’s organizations have more data available than ever before and this creates an opportunity to gain insights that will revolutionize customer experience. Our modern, digital world connects everything to everything, requiring organizations to capture, manage, and govern vast amounts and variety data. By building an enterprise customer 360 as the backbone to CX, you can better understand your customers in order to grow their loyalty and trust.  Join us as we help you re-imagine how intelligent data fuels data governance and CX strategies.

Monica Mullen

Principal Solutions Marketing Manager

6:00 pm - 6:10 pm How AI/ML, Fueled by Your Data, Can Help Drive Better Business

Patrick Welsh - Vice President, Americas, Anodot


Patrick Welsh

Vice President, Americas

6:10 pm - 6:40 pm What If You Could See Into the Future.. of Your Business?

Johnathan Wray - Co-Founder, Aible

Johnathan Wray


7:20 pm - 8:50 pm Networking Dinner