Day One: Monday, April 20th, 2020

12:00 pm - 12:30 pm Lobby Opens

12:30 pm - 12:40 pm Chairperson's Welcome & Opening Remarks

Bringing data and analytics into the decision making discussion is vital. Education is necessary in order to build a common language where there is competence in analysis from customer service to sales to marketing. As painful as it may be to say sometimes the emerging technologies are still just buzzwords outside of the data and analytics office. While there is a definite acceptance to the concept of a data driven culture, being able to clearly demonstrate the ROI of specific projects and initiatives remains both important and tricky at the same time. 

In this session:

•Ensuring data literacy throughout the organization

•Requisitioning with a demonstrated return on investment

•Showing cost savings through implementation

•Increasing employee productivity and efficiency


Priyanshu Raj

Corporate Vice President (Senior Director), Enterprise Data Strategy & Analytics
New York Life Insurance Company

As the field of data and analytics grows, women are drastically underrepresented with just about 25 percent holding data science positions. Explore creative and resourceful ways organizations are working to achieve greater diversity and to close the gender gap.

In this session:

•Motivating, upskilling and retaining diverse talent

•Exploring innovative ways to fill the talent gap

•Removing inhibitors and transforming the marketing of data and analytics  


Bindu Chellappan

Vice President


Daria Lee Sharman

Enterprise Insights and Analytics Officer
Pacific Life


Su Rayburn

Vice President Information Management & Analytics
Delta Community Credit Union

1:20 pm - 1:30 pm Ignite- Data Transparency: Delivering Better Business for a Better World

Rob Bruce - Vice President, North America Presales & Enablement, Stibo Systems


Rob Bruce

Vice President, North America Presales & Enablement
Stibo Systems


1:30 pm - 2:00 pm Achieving the Nirvana of Self-Service Data Science
Dr. Mike Kim - CTO and Co-Founder, Outlier

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 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. Mike Kim

CTO and Co-Founder


1:30 pm - 2:00 pm 50 Percent of Data Science Projects Fail at Consumption: Can Storytelling Be Your Game Changer
Naveen Gattu - Chief Operating Officer, Gramener

Growth of Self Service BI has generated a lot of dashboards, but "lots" does not always mean "good" or "useful". 

  • While advances in AI/ML lead to deeper insights, business teams struggle with the adoption of algorithms and consumption. 
  • How can data officers and analytics leaders get better business ROI from their data science investments? 
  • This session will show you how to unleash the power of data storytelling for business decision-making, using industry examples


Naveen Gattu

Chief Operating Officer

With terabytes of data created daily the critical role of the CDAO is given; what is not as well established is the technical expertise required, how much data governance is needed and exactly what the role entails or the precise reporting structure. As the CDAO role continues to change and grow in importance- collaboration and agility are of paramount importance in the journey of being an effective data executive. The CDAO needs to lead by example how data and analytics can lead the organization as a competitive force that adds value. Proactive CDAOs are trying to prioritize focus and actually execute while getting as close as possible to a recipe for success in an evolving space:

·        Maintaining compliance while accelerating innovation

·        Defining the role’s importance and collaborating in the C-Suite

·        Providing metrics to communicate successes to other stakeholders

·        Instilling a data-driven culture which empowers digital transformation

·        Success depends on the success of other

·        Recognizing unique organizational levels of complexity

·        Demonstrating value while innovating for sustainable success

Leveraging the optimal balance of innovation, ethics and governance


Bill Wilkins

Chief Risk & Predictive Analytics Officer
Safety National Casualty Corporation


Chuck Borges

Military Director of Analytics


Ivan Alvarez

Vice President of Information Technology


Ganes Kesari

Senior Vice President Analytics & Innovation

2:30 pm - 3:00 pm Business Meeting

3:00 pm - 3:30 pm Business Meeting

3:30 pm - 4:00 pm Business Meeting

4:00 pm - 4:20 pm Scale Your Data Science Practice with Automation

Chi Zhang P.h.D. - Data Scientist, dotData

A 2019 research report by VentureBeat showed that over 87% of data science projects never make it into production. While there are a number of reasons for this high failure rate, lack of resources is a key issue. In fact, a 2018 report by LinkedIn, showed a shortfall of over 150,000 people with Data Science skills in the US alone. Join dotData Data Scientist, Chi Zhang as she discusses the state of data science and its impact on AI and Machine Learning, and how automation can help organizations scale their data science practices - ranging from accelerating feature creation to optimizing machine learning models and pushing them into production.


Chi Zhang P.h.D.

Data Scientist

4:20 pm - 4:50 pm This is Fine: The High Cost of Silos & Blind Spots

Nicole Radziwill - Senior Vice President Quality & Strategy, Ultranauts

Sometimes your most costly data and analytics issues are hiding in plain sight! Although most organizations invest in data quality and governance, people and process have the most profound impacts. Use this knowledge to advance the quality maturity of your data and analytics organization, improve the ROI of initiatives, and expand profits. 

Attendees will learn:

  • The number one threat to building a high-performance data-driven organization
  • How to use excellence frameworks and risk-based thinking to transform threats into opportunities and “shift left” with data and analytics 
  • How cognitive ergonomics can help you build better quality assurance strategies for your data, software, and models


Nicole Radziwill

Senior Vice President Quality & Strategy

4:50 pm - 5:00 pm Volatility Ahead - How AI Can Help You Navigate Uncertainty

Arijit Sengupta - Founder; Chief Executive Officer, Aible, Inc.

The world has changed overnight. Traditional AI, business analytics, and strategic planning haven’t prepared you for these unprecedented times. Your old assumptions and ways of doing business are suddenly out-of-date. How does your business navigate these turbulent times? 


Join us to learn how Aible delivers AI that enables your business to plan collaboratively, flexibly operationalize at scale,, and adjust to rapidly changing market conditions. See how Aible can help you make smarter data-driven business decisions at a time when you need them most.



Arijit Sengupta

Founder; Chief Executive Officer
Aible, Inc.


5:05 pm - 5:25 pm Converting the Customer Journey into an Algorithmic Pipeline
Daniel Gremmell - Head of Data Science, PolicyGenius

Using customer analytics and behavior can be a scattershot for many companies. The consumer landscape is driving further towards personalization in the user journey, In this session, we will explore the fundamentals of the customer lifecycle and map that to algorithmic applications. Examples will be demonstrated along the way and a roadmap provided to help any business get started. 


Daniel Gremmell

Head of Data Science

In this case study, explore deep learning including ways to achieve long term gains, strategies for detecting fraud, simulations for product tests and methods to increase campaign revenues.


Srini Kandala

Head Innovation and Sears Deep Learning Center
Sears Deep Learning Center

5:25 pm - 5:30 pm Chairperson Closing Remarks

5:25 pm - 6:05 pm End User Virtual Cocktail Hour