Day 2: Monday, January 22nd

7:15 AM - 8:00 AM Networking Breakfast

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

Day Two Keynote

8:10 AM - 8:40 AM Driving Connection and Collaboration Across Emerging Technologies

Sol Rashidi, Chief Data & Cognitive Officer, Royal Caribbean Cruise Line
In the midst of the fourth industrial revolution, 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:

  • Focus and emphasis will be on leveraging technologies such as Artificial Intelligence, Machine Learning, and Robotics

  • Couple new technologies with data and analytics to enhance the customer experience, modernize the organization’s digital landscape, and build brand equity in the market place

  • Overcome the limitations of current data and analytics tools and obstacles during the integration process

  • Drive to 100% user adoption across the business by offering experiences for everyone, making complex technologies and analyses simple

  • Help businesses foster a culture of data and technology that makes it easy for people to share, discuss and collaborate on their analyses and insights

img

Sol Rashidi

Chief Data & Cognitive Officer
Royal Caribbean Cruise Line

Master Class C

8:45 AM - 9:30 AM Explainable AI: Humanizing the Machine

As automated technologies become more prevalent in every day business processes, risks abound and grow, in unison. As such, it is imperative that business leaders understand the rationale behind the analyses produced by AI. Algorithms are only as nuanced as the instructions behind them. Explainable AI (XAI) can expose what the algorithm cannot “know”, and, in turn, improve AI tools. Join us in this session as we learn how the machine can tell us “why”

•Rationalizing what algorithms are producing
•Making more informed choices for the business
•Establishing AI Governance
•Focusing on internal and external data, or mixed data


Master Class D

8:45 AM - 9:30 AM Assessing the Analytics Maturity of Your Organization

In order to effectively assess the analytics maturity of your organization, it’s important to develop a framework which encompasses the five foundational elements of a successful analytics program.
Join us in this session as we discuss the five tiers of analytics maturity:

•Awareness – a problem has been identified, but the organization lacks analytical skills & executive awareness in data quality and management

•Reactive – analytical action tends to be system or department-specific, driven by line of business management

•Aspiring – resources are aligned to create a broad analytics capability, and leadership is committed to developing an enterprise management process

•Capable – analytics are part of a company-wide culture where information is managed as an asset

•Competitive – the organization competes on data, leveraging strategic, enterprise-wide analytics for continuous improvement of business performance


9:35 AM - 10:05 AM Business Meetings

10:10 AM - 10:40 AM Business Meetings

10:45 AM - 11:10 AM Networking Break

11:15 AM - 11:45 AM 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



11:50 AM - 12:20 PM Business Meetings

12:25 PM - 12:55 PM Business Meetings

1:00 PM - 2:00 PM Networking Lunch



2:05 PM - 2:35 PM CASE STUDY: 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

img

Ash Dhupar

Chief Analytics Officer
Publishers Clearing House

2:40 PM - 3:40 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

3:45 PM - 4:15 PM Business Meetings

Business Meetings

4:20 PM - 4:50 PM Business Meetings

4:55 PM - 5:25 PM Networking Break

BrainWeave A

5:30 PM - 6:15 PM 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


BrainWeave B

5:30 PM - 6:15 PM Optimizing Business Processes & Opportunities with Deep Learning

It is essential for the success of any business to always ensure the highest accuracy and versatility of your systems. As such, with the emergence of more advanced technology systems are needed that can be used in synergy with human work streams to solve the most complex problems. In this session we identify different business use cases and opportunities for human/machine hybrid algorithms to build high-accuracy and ever-evolving systems.
Join us in this illuminating session as we discuss how to harness the power of deep learning:

•Attach content to objects in real life and increase human engagement
•Use smart cameras and social media monitoring to detect threats or suspicious behavior
•Ensure quality representation on the internet
•Speed up information retrieval and labeling
•Accelerate training of algorithms
•Increase productivity of data scientists


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



img

Michael Simon

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

7:00 PM - 8:30 PM Networking Cocktails