Day 2: Monday, January 22nd

7:15 AM - 8:00 AM Networking Breakfast

8:00 AM - 8:05 AM Chairperson's Opening Remarks

8:10 AM - NaN:NaN AM Practical Techniques for Data Monetization in the Enterprise

Enterprises have appointed the Chief Data Officer (CDO) and the Chief Analytics Officer (CAO) to take on the mission of maximizing data value and producing new revenue streams. In previous years this has been done by monitoring and enhancing existing business processes. With the abundance of data generated by the business there are opportunities to monetize the data. Small groups and even individuals with a good idea can monetize data. The barriers to market entry have fallen. The technology is readily available. There has never been a better time to transform your data into digital wealth.
In this session, hear best practices and inspiration for data monetization:
  • Seize the opportunity to convert, analyze and monetize your data
  • Explore popular data monetization models and planning considerations
  • Automate processes to extract and cleanse data, shape data, enhance data, publish and share data for reusability or package it for internal reusability or external sale

Day Two Keynote

8:40 AM - 9:10 AM Change Management: The Journey to a Data-Driven Culture and First Deployments in AI

Sol Rashidi, Chief Data & Cognitive Officer, Royal Caribbean Cruise Line
In the midst of the Artificially Intelligent future, executives must learn to embrace these new technologies and adapt in order to drive performance and gain a competitive edge. The role of the Chief Data and Analytics Officer has become that of a change agent that must help to drive and lead collaboration and connection across emerging technologies and to bridge people and processes with technological advancements available to us in the market place.

Join this illuminating session as we discuss how to be an effective change agent in the modern tech landscape:
  • Identifying the use-cases before beginning your AI journey
  • How to pivot towards a ‘data centric organization’… how long, slow, and cumbersome is the journey
  • Even if you have a BI Platform or a Data Lake, how do you drive capabilities within the business


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Sol Rashidi

Chief Data & Cognitive Officer
Royal Caribbean Cruise Line

9:15 AM - 9:45 AM Business Meetings

9:45 AM - 10:15 AM Business Meetings

10:15 AM - 10:30 AM Networking Break

10:30 AM - 11:05 AM Boosting Soft Skills: Focus Areas to Improve Employees’ Ability to Manage Themselves and Drive Change Effectively

Enabling our employees to be successful goes beyond the development of their technical skills; we as leaders must give them the skills for effective communication, conflict resolution, decisiveness, self-awareness and innovation. In this session, take a step back from the mechanics of data and analytics to consider the attributes that have enabled us to reach the c-suite, and explore how we can act as a champion for our employees.
Join this discussion as Dr. Caraviello covers:
  • Impactful concepts related to stress reduction
  • Focus areas for leadership development
  • Key concepts related to diversity and inclusion
  • Approaches to improve your teams ability to drive innovation
  • Focus areas to drive engagement and retention
  • Reduce comparisons between employees

Master Class A

11:10 AM - 11:55 AM Ensuring a Successful Analytic Model Deployment

An organization’s strength in analytics model development alone is insufficient to develop strength in business-analytics alignment. Companies need to complete the cycle by making complementary investments in model deployment and model management. In this session hear examples from successful model deployments.

Join this interactive session as we discuss how to achieve fully-developed analytics disciplines:
  • Build a strong foundation in model development in order to maximize business-analytics alignment
  • Establish a comprehensive exchange of information, and identifying linkages between key information providers and information consumers
  • Identify analytics execution practices used by leaders in your industry and emulating them to transform your business
  • Jointly develop the analytics execution and business execution capabilities to establish more rapid adaptation to changing customer needs and behaviors


Master Class B

11:10 AM - 11:55 AM Pragmatic Data Governance - Real World examples of driving value from your Enterprise Data Governance Investments

Many firms struggle with how to ensure their Enterprise Data Governance efforts quickly deliver business value in their organizations, and also how to ensure sustainment of these organizations post the initial launch and investment. Our session will provide real world examples and use cases of where organizations have implemented Enterprise Data Governance, the specific aspects and components of Governance enabled, and how Governance may respond to real world business problems.

We will address the following topics, such as:
  • What is Pragmatic Data Governance, and how does it differ from how some firms have attempted to launch their programs?
  • What frameworks / models for Enterprise Data Governance are other organizations leveraging?
  • How do we defend the costs of Enterprise Data Governance within our organization?
  • Instances of where we are seeing Regulatory drivers for Enterprise Data Governance, such as within Banking


Networking Lunch

12:00 PM - 1:00 PM Networking Lunch



Round Tables

1:05 PM - 1:50 PM RoundTable

Roundtable A: Establishing a Framework for Acting on Predictive Analytic Output

Roundtable B: Addressing Perennial Challenges in Data & Analytics

Roundtable C: The Barriers to Effective Digital Transformation

Roundtable D: Identifying Alternate Data Opportunities in Connected Technologies


Business Meetings & Networking Break

1:55 PM - 2:25 PM Business Meetings

Business Meetings & Networking Break

2:25 PM - 2:55 PM Business Meetings

Business Meetings & Networking Break

2:55 PM - 3:10 PM Networking Break

CASE STUDY

3:10 PM - 3:40 PM Initiating New Technologies to Increase Revenue from Consumer Data

Ash Dhupar, Chief Analytics Officer, Publishers Clearing House
Publishers Clearing House, founded in 1953, has grown from a direct marketer offering magazine subscriptions to a famous brand that offers a range of merchandise and digital "play and win" entertainment.PCH has 100 Million customers who have interacted with PCH through various channels generating large amounts of data on a daily basis. PCH focused its investments in a robust analytics infrastructure and team to position itself as a leader in the data analytics space.

Join this session to learn about topics including:
  • How the analytics team has driven real value and profits to the company
  • How Publishers Clearing House chose which tools to integrate into their system
  • Harnessing the power of data from millions of individual users

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Ash Dhupar

Chief Analytics Officer
Publishers Clearing House

CASE STUDY

3:40 PM - 4:10 PM Applying a Decision Framework to Prescriptive Analytics: Avoiding Paralysis by Analysis

As the organization becomes more advanced in their analytics and collects more predictive insights, there’s the risk of overanalyzing without moving forward. Many organizations have found themselves stuck in the predictive phase without a proper prescription for the next steps. Some have found prescriptive analytics may not offer exactly what their organization needs, but this does not mean it is incapable. There needs to be a framework in place to match the specific needs of the organization.

Join this illuminating discussion as we discuss the stages necessary to creating this framework:
  • Identify the clear business goals and how their measures of value
  • Include what leaders should do, invest, build, organize and align, in order to gain access to the next level of analytics maturity
  • Define the benefits of investment to convey value to the whole organization



Business Meetings

4:15 PM - NaN:NaN AM Business Meetings

Business Meetings

4:45 PM - NaN:NaN AM Business Meetings

CASE STUDY

5:20 PM - 5:50 PM Big Data – As a Data Lake and the Enterprise Data Warehouse: Unified Data Architecture(UDA)

Bipin Karunakaran, Vice President of Data Management, Informatics, Geisinger Health Systems
Big data has enabled analytics on high volume, velocity and variety (3V’s) of data. Most of this data is either unstructured or non- relational data. At Geisinger the Unified Data Architecture (UDA) combines unstructured, structured and relational data processing on a unified open-source platform providing a cost-effective way for doing traditional analytics as well as real time predictive analytics.

This session will focus on
  • Strategy and tactics for transformation from a traditional data warehouse to a unified data lake and data warehouse
  • Tools and design approach for Big Data relational and non-relational warehouse
  • Strategy and implementation of real time data and batch processing on a unified data platform
  • Building Natural Language Processing(NLP) and Predictive modeling tools on the unified Big Data platform
  • Example use case – Early detection of sepsis and care of sepsis patients


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Bipin Karunakaran

Vice President of Data Management, Informatics
Geisinger Health Systems
The focuses of data and analytics efforts have been on the day-to-day goals, and have not gone further to ask, where is it going from here? Looking at tomorrow is what will make the biggest difference when it comes to driving value for the enterprise. In this session, take a deeper look into how we utilize AI and Machine Learning. Discover best practices for how to make these technologies work now, and what they will look like in the future.

Join this interactive session and hear practical use cases to:

•Integrate new data sources and technologies while making room for the next wave
•Shift the foundation to the cloud for enhanced agility and speed to support the future
•Make room for the Internet of Everything: IoT, Serverless Computing and Microservices
•Enable trust within platforms with distributed ledger technologies
•Evolve from a proof-of-worth concept to a proof-of-stake



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Michael Simon

Chief of Data Science & Business Analytics, Weapons and Counterproliferation Mission Center
Central Intelligence Agency

Executive Audience Discussion

6:45 PM - 7:25 PM The Dark Session: Behind Closed Doors in Data and Analytics

Do you have a specific challenge or story you wish to share with the group but don’t want the information shared outside of the Exchange? Our attendees may be able to help. This dark session will be held under the Chatham House Rule, allowing attendees to speak freely without fear of being quoted or named outside of the room.
Join this closed-door session to cover topics including:

  • Data and analytics war stories from enterprise organizations
  • Company or vertical-specific problems and case studies for their resolution
  • Hopes, thoughts and fears in the data analytics industry

When a meeting, or part thereof, is held under the Chatham House Rule, participants are free to use the information received, but neither the identity nor the affiliation of the speaker(s), nor that of any other participant, may be revealed.

7:30 PM - 7:30 PM Networking Cocktails