Day 1: Sunday, January 21st
11:00 am - 11:45 am Welcome Brunch and Registration
11:45 am - 12:00 pm Delegate Orientation
12:00 pm - 12:20 pm Kickoff Networking Activity
12:20 pm - 12:30 pm Chairperson Official Welcome to IQPC’s Chief Data & Analytics Officer Exchange
12:30 pm - 1:05 pm Data and Analytics – Where we’ve been, and the path forwardRobert G. Kula - Executive Vice President and Chief Modeling and Analytics Officer KeyBank
Based on a lot of literature out there, one would think that analytics were just invented. We know that is not the case, but it just feels that way due to the vast amount of data that is available, and the emergence of new tools to help facilitate deeper and faster analytics. Still, there appears to be more people talking analytics than actually doing analytics. What do organizations need to do to in order to enhance its focus on data and analytics:
- The most important asset at the organization isn’t the data, but the people.
- Good and clean data is essential, but don’t let perfection be the enemy of good.
- Just as important as saving the data, is structuring the data in a way that best optimizes its use.
- Analytics isn’t just about getting at the answers, but asking the right questions.
- Good analytics coupled with poor communication delivers a bad result.
Robert G. KulaExecutive Vice President and Chief Modeling and Analytics Officer
1:05 pm - 1:40 pm Translating Information into Profits: The Analytics PromiseJose A. Murillo - Chief Analytics Officer Banorte
Organizations are making large investments in analytics and data with the promise of huge yields. However, after some years of significant investments it is too often the case that these companies cannot show a large quantified impact. Demonstrating the power of value creation is a necessary condition to establish a sustainable analytics practice within firms and for chief analytics officers to become relevant key players within the C-Suite.
This exchange will show a case of a very successful analytics business unit: in a short period of time it has created value equivalent 106X cost, and effectively accelerating profits in a way that the company leapfrogs its competitors. The exchange will focus on:
- Analytical value creation
- Setting the right incentive scheme –Analytics as a profit center
- Ingredients to demonstrate the value of analytics
- Measuring the impact of analytics
- Communicating the results
Jose A. MurilloChief Analytics Officer
1:45 pm - 2:15 pm Business Meeetings
2:15 pm - 2:45 pm Business Meeetings
2:45 pm - 3:00 pm Networking Break
3:00 pm - 3:30 pm The Role of NLP in Comcast’s Voice RemoteAmit Bagga - Chief Scientist and Vice President of Research and Development Comcast
The TV and entertainment industries are becoming increasingly competitive and for Comcast, Natural Language Processing has enabled the enterprise to create a unique entertainment experience. Dr. Amit Bagga will describe Comcast’s Emmy Award winning Voice Remote and the use of NLP technologies that power it. In particular, it will describe the evolution of the NLP technologies used as the remote matured and became smarter.
Attendees should leave with ideas for practical applications of NLP to bring back to the office.
- Develop algorithms using AI and ML techniques for applications and products
- Explore the use of NLP to understand and personalize the customer experience
- Use natural language processing to communicate with other devices
Amit BaggaChief Scientist and Vice President of Research and Development
3:35 pm - 3:50 pm Crowdsourcing for Analytics - Safe, Fast, and On-DemandAndy LaMora - Vice President, Data Science Topcoder
Finding a team of talented data scientists, developers, and analytics design experts can be challenging, slow, and sometimes impossible. For even the largest and most talented teams, data science problems and algorithms are varied and vast and demand skills outside your purview. Crowdsourcing is a cost-effective and efficient way to deliver your data science projects and access cutting-edge skills 24/7, on-demand. We provide an enterprise-grade Amazon Prime-like experience to access our community of 1.2 million members. Join our session to learn how Topcoder customers combine crowdsourcing with existing teams and platforms to deliver thousands of machine learning and analytics solutions in engineering, health care, finance, intelligence and nearly every domain.
Andy LaMoraVice President, Data Science
3:50 pm - 4:05 pm "The Dark Side" of Data ScienceVijitha Kaduwela - Founder & CEO Kavi Global
Despite the hype, only a small percentage of companies have been able to successfully move their data analytics solutions into production, accelerate delivery and scale; moreover, finding it difficult to deliver the business value promised and justify continued investments. This is the “dark side” of data analytics that turns a blind eye to the dark forces (the fast evolving Big Data Technology Landscape and the highly fragmented data analytics stack). As a disruptive innovator in the field of Data Analytics, Kavi Global has embarked on a self-envisaged mission to open the blind eye. This session will explain the dark forces that most Jedis (CDAOs) face in today’s scenario, and explore the possible lightsabers (strategies) to address them.
Vijitha KaduwelaFounder & CEO
4:05 pm - 4:20 pm Why the status quo isn’t good enough: Reimagining the Customer 360David Corrigan - Chief Marketing Officer Allsight
Digital transformation is affecting every aspect of the customer experience - changing the way conversations are had, decisions are made, and actions are taken. 88% of customer data is ignored ignored because systems weren’t designed to handle unstructured data created by digital processes such as web chats, emails, and social media. Explore why the status quo isn’t good enough anymore and how CDOs can use modern big data technology to create an intelligent Customer 360 to personalize an omni-channel experience.
David CorriganChief Marketing Officer
4:20 pm - 4:35 pm Your Competitive Edge Starts HerePrashant Bhatia - Chief Marketing Officer Stibo Systems
With the proliferation of data management, IoT and other machine-generated information, the business requires a Digital Business Core of operational data that is continuously shaped and delivered to produce superior business outcomes. Meet Stibo Systems, the driving force behind hundreds of forward-thinking companies around the world who have unlocked the full value of their information. This session will explore how Stibo Systems is empowering business users to act with confidence in their data, adapt quickly to changing market conditions and go beyond to anticipate what’s next.
Prashant BhatiaChief Marketing Officer
4:40 pm - 5:10 pm Business Meetings
5:10 pm - 5:40 pm Business Meetings
5:45 pm - 6:15 pm Shifting the Focus from Data Governance to ValueJason Fishbain - Chief Data Officer University of Wisconsin Madison
Deriving business outcomes using the value of organizational data is as important as ever; however, too often organizations become too focused on the mechanics of the data process, such as data quality and data governance, and lose sight of the value data can provide. There are attempts to define target enterprise data models, formats for standard data and an understanding of a data inventory, but many times organizations do not achieve these goals. Moving beyond traditional data governance means leveraging data and analytics on the data itself to address the issue.
This session will provide a discussion around the following:
- Redefining the data process to discover true value for the business.
- Changing organizational culture from one of IT systems to one of managing data as assets.
- Applying machine learning and tools to drive understanding and uncover value.
- Building organizational capabilities or crowdsourcing new analyses and tools.
Jason FishbainChief Data Officer
University of Wisconsin Madison
6:15 pm - 6:45 pm Initiating New Technologies to Increase Revenue from Consumer DataAsh 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
- What infrastructure and tools has been put in place to achieve the analytics goals
- Harnessing the power of data from millions of individual users
Ash DhuparChief Analytics Officer
Publishers Clearing House
6:45 pm - 7:35 pm The Dark Session: Behind Closed Doors in Data and AnalyticsRobert G. Kula - Executive Vice President and Chief Modeling and Analytics Officer KeyBank
Michael W. Simon Ph.D. - Chief of Data Science & Business Analytics, Weapons and Counterproliferation Mission Center Central Intelligence Agency
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.” – Royal Institute of Affairs
Robert G. KulaExecutive Vice President and Chief Modeling and Analytics Officer
Michael W. Simon Ph.D.Chief of Data Science & Business Analytics, Weapons and Counterproliferation Mission Center
Central Intelligence Agency