Agenda Day 2

7:30 AM - 8:00 AM Breakfast

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

CASE STUDY

8:05 AM - 8:45 AM Data as the Driver of Automation in the Evolving Big Data Ecosystem

As the daily processes become more and more automated, big data ecosystems are growing is size and importance. New opportunities are emerging from the autonomous data ecosystems. This session looks the big data ecosystem from the perspective of the evolving automotive industry. As vehicles are become increasingly automated, connected and electrified, the automotive data ecosystem has grown, in turn propelling data to the driver’s seat. In this session hear how Ford Motor has leveraged autonomous data to become a giant in the automotive industry.
Participants will:
· See behind the scenes of a successful big data ecosystem use case
· Apply the lens to your most pressing autonomous data challenge(s)
· Identify gaps in current big data strategies / initiatives
· Discover opportunities for automation within your own organization’s ecosystem

8:45 AM - 9:25 AM Defining Boundaries for Data Monetization and Consumer Privacy

In a world of big data and increasing sources of information, CDAOs have the opportunity to capitalize on the personal information they collect about their customers. This information allows businesses to achieve a better view of the customer, make more personalized recommendations, and enhance the overall experience with their services.
In this interactive session we will discuss the following:
  • Determining boundaries of customer privacy
  • Monetizing private customer data
  • Interpreting the law in an evolving landscape
  • Justifying geospatial data – improving analytics or invading privacy?
  • Using sensitive information to understand the customer

9:30 AM - 10:00 AM Business Meetings

10:00 AM - 10:30 AM Business Meetings

10:30 AM - 10:50 AM Networking Break

10:50 AM - 11:20 AM Realizing the Power of Cognitive Search to Improve Effectiveness and Enable Innovation

The modern enterprise now has access to infinite troves of data which offers lucrative possibilities; however, the time it takes to sift through the data for actionable information is anything but timely. Join this session to understand how cognitive search brings the power of AI to enterprise search and how it has empowered enterprises to see patterns quickly, improve visibility across departments, reduce costs, and ultimately become information driven.

Additionally this session will explain how cognitive search has allowed organizations to:
· Create more personalized communication with customers
· Cultivate stronger customer relationships
· Enhance productivity, reduce costs, and improve efficiency

11:20 AM - 11:50 AM Expanding Data Literacy Across the Enterprise

The success of data programs in an enterprise depends not just on the data office, but the enterprise as a whole. CDAOs are tasked with ensuring commonality of shared language and fluency with data, analytics and business outcomes across a wide range of organizational roles. Join this session to understand how leaders in the space have successfully implemented a program to increase data literacy across their organizations.
Attendees will leave with an understanding of:
  • Driving 100% user adoption across the enterprise by offering analytics experiences that meet the needs of the technology and business users alike
  • Helping the business foster a culture of analytics that makes it easy for people to share, discuss and collaborate on their analyses and insights
  • Meeting the needs across departments to maintain centralized management, with the fastest path to building a data-driven business
  • Steer their business forward with complete governance scalability, social collaboration, dynamic text and new visualizations that light up your analytics

12:00 PM - 1:00 PM Networking Lunch

Roundtable Discussions

1:00 PM - 1:45 PM Identifying Use Cases for Artificial Intelligence

Explosive developments in Artificial Intelligence (AI) are having profound impact on how enterprises engage with customers and do business. Don’t miss this opportunity to learn what AI is going to mean for the business, and when it will become mainstream. Attendees will review several very specific use cases and walk away with an understanding of how machine learning is having a powerful impact on companies’ work processes.

Roundtable Discussions

1:00 PM - 1:45 PM Doing Data & Analytics Business in China

This roundtable will focus on understanding the customer base and processes in China. Attendees will leave knowing how to map the Chinese customer journey, increase operational efficiencies, enhance communication with overseas offices, and enter the emerging market in China.

Roundtable Discussions

1:00 PM - 1:45 PM How can Data & Analytics Leaders Increase Their Influence in the Boardroom?

In an era where data has never been more crucial to the business, organizations can benefit tremendously by fully leveraging their current staff and not just pursuing the latest candidate du jour. Yet too often data and analytics leaders don't have sufficient influence in the boardroom to fully enroll other executives in their data and analytics strategy as the full blown competitive advantage that it could be. When you join us for this small executive roundtable you will have an opportunity to discuss with your data and analytics peers the communication, education and mindset shifts that need to happen for you to gain the strongest possible influence in the boardroom.

1:45 PM - 2:15 PM Employing Artificial Intelligence to Increase Benefits From Big Data

In the age of big data companies have more kinds of data available to them than ever before; far more than their current technologies can keep up with. While this multitude of data creates the potential to learn much more about the customer base, it also means that all of this data can be hard to access and manage; and overwhelming to analyze. As such, it’s critical to implement an AI solution that can respond to ever-changing information and make adjustments based on what it learns.

Join this session as we learn how to:
· Identify the AI-based tools that fit your business and business model
· Determine the types of data that can be made available to AI systems
· Perform a data “audit” that lets you know what data is and isn’t being collected
· Explore technology platforms that can unify all of the data from multiple sources
· Implement an AI solution that works with your data to deliver what you need to drive business

2:20 PM - 2:50 PM Business Meetings

2:50 PM - 3:20 PM Business Meetings

3:20 PM - 3:35 PM Networking Break

3:35 PM - 4:15 PM Fostering and Retaining AI Practitioners to Successfully Integrate AI into the Enterprise

Data and Analytics Executives have seen the potential for Artificial Intelligence but have struggled to make it a valuable opportunity for the Enterprise. The largest inhibitor to applications of AI is the shortage of intellectuals with the technical skills to implement AI and machine learning, and then retain them long enough to drive effective changes and outcomes. Going forward, it is critical to develop the necessary skills and identify the best candidates to promote as potential AI leaders. In this session hear best practices and use cases for advancing skills for artificial intelligence.

Masterclass A

4:20 PM - 5:05 PM Optimizing Business Processes & Opportunities with Deep Learning

It is essential for the success of any business to always ensure the highest accuracy andversatility 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

Masterclass B

4:20 PM - 5:05 PM Converging Data Management Technologies to Maximize Big Data Analytics Potential

High-velocity, high-volume, and high-variety data streams challenge analytics organizations as the ability to get critical insights often decays rapidly or becomes lost in the sea of unnecessary information. And as regulations increase, companies need to be able to manage the massive influx of data from multiple sources to streamline information across the enterprise. The answer is to converge data management technologies.
In this session, we’ll discuss how a broad range of organizations use metadata management to:
  • Find the right analytics systems for their current analytics architectures and specific performance needs.
  • Dramatically speed analytics by eliminating the reliance on time-consuming data preparation, including indexing and ETL processes.
  • Leverage new data coming from AI and IoT
  • Tap into the power of new, simple-to-use heterogeneous compute systems to use the right tool for each job
  • Transform data analytics to streamlined ecosystems that fit your enterprise’s needs

5:05 PM - 5:35 PM Business Meetings

5:35 PM - 6:05 PM Business Meetings

8:00 AM - AM Employing Customer Feedback and Insights to Improve the Customer Experience and Services

Customers are now much more informed and have better ways to provide feedback on their experiences. As a result, enterprises are recognizing the ever-increasing importance of providing a great customer experience to improve their reputations. To do this effectively, it’s critical to better utilize customer feedback data to shape your products, services, processing and marketing strategies.
In this session well collectively discuss ways to better identify feedback and insights by:
  • Identifying the best and most common ways that customers receive the data and provide feedback
  • Understanding the value and cost of people, leadership and organizational design
  • Implementing software and new technologies to view customer histories and predict their future needs
  • Create a clear customer-focused vision that is embedded into the organizational culture
  • Measure the ROI from delivering greater customer experience
  • Leveraging emerging technologies to improve conversational AI and Chatbots

4:40 PM - 5:10 PM 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

7:10 PM - 8:10 PM Cocktail Reception