January 26 - 28, 2020 | Hyatt Regency, Phoenix, AZ

Day 1: Sunday, January 26th

10:20 am - 11:00 am Registration

11:00 am - 11:05 am Welcome Orientation

11:05 am - 11:15 am Thoughtexchange Technology Introduction



11:15 am - 11:25 am Chairperson's Opening Remarks

11:25 am - 12:00 pm The Emerging CDAO Imperative: Demonstrating ROI to Key Business Stakeholders in Terms they Can Relate To

As the role of the CDAO continues to evolve and play an increasingly important role in driving enterprise value, it’s more important now than ever that CDAO’s focus on developing a cross-functional, agile approach to the deployment of operational analytics. Learn from the real-world experience of your peers and gain valuable insights into the challenges and opportunities related to taking a proactive role in encouraging the use of soft skills and communication to bridge the information gap between the Data and Analytics team and the C-suite. Delve into the ways in which peers have created innovative, measureable 
KPI’s to communicate your value to the CEO and beyond. Key focus areas include:

  •  Emerging need to look beyond traditional forms of resource planning to achieve agility
  •  Making the case for an innovation budget which is more open-ended and less focused on defining specific projects
  •  How CDAO’s can pioneer data-driven culture and encourage digital transformation
  •  Re-evaluating KPI’s to translate business value to other member of the C-suite

12:00 pm - 12:30 pm One Step Ahead: Leveraging Advanced Analytics to Minimize Fraud Risk Exposure & Operationalize Production Cycles

The risk of fraud, identity theft and the misuse of corporate resources pose a significant, long-term risk to nearly every enterprise. The banking and financial services sector has proved to be at the forefront of innovation within this space thanks in large part to technological advancements that have enables a greater degree of risk mitigation. Lester Leong, VP, Data Science & Strategy at Wells Fargo, will be driving a discussion centered on fostering “small wins” in order to demonstrate the increasingly significant role that fraud analytics plays in ensuring long-term, organic growth in the retail banking sector.
 
Join this session to gain a better understanding of :
*how to successfully move beyond Proof of Concept to scalable production of data science products
* managing the assessment of a variety of analytics products who applications range from mobile payments to application and account fraud
* the role that strong, value-driven leadership plays in ensuring agility and developing talent within your data science team 

12:30 pm - 1:00 pm Using the Hybrid Cloud & Embedded Analytics to Foster Agility and Scalability

While a majority of enterprises have already begun the process of integrating hybrid to multi-cloud based solutions, many have quickly found that a “one size fits all approach” is not typically the most effective strategy to implementation. This session will allow you to better understand some of the most effective approaches to enterprise-wide adopting that suits specific business needs and drives long-term value and ROI. Additionally, learn about some of the ways in which cloud providers have created AI/ML based embedded analytics tools to streamline the data discovery and curation process.
Other topics addressed:

  • Minimizing your security risks through finding the right balance between in-house and cloud based solutions.
  • How to optimize hybrid monitoring tools to avoid data breaches 
  • Anticipating which points of data collection are best served by the cloud and which need to be “closer to the edge”
  • Correlation between amount of technical debt accumulated and timeline of delivery ROI on cloud capabilities

1:00 pm - 2:00 pm Networking Lunch

2:00 pm - 2:30 pm Deploying Self-Service Testing & Measurement to Support Agility in Retail Product Segmentation

In recent years, Target has successfully transformed a growing number of its stored to align with the evolving retail landscape and appeal to a new generation of digitally-native consumers. According to a Forbes, the enterprise has enjoyed eight straight quarters of comparable sales increases due in large part to a reimagining of its product offerings and a newfound focus on nurturing in-house brands that resonate with consumers. Meghna Sinha who serves as Vice President, Data Science & Analytics will delve into her statistics-first approach to optimizing the brands product offerings taking into account the myriad of variables that determine if the consumer will
 
Join this session to gain a better understanding of:
·         how to constantly evaluate whether a particular metric is effective using the three aspects of measurement
·         implement a “how to test and measure” manifesto in a complex, increasingly omnichannel retail environment
·          ensuring that robust test designs are supported by statistical expertise
*the role that automation plays in streamlining operations and the testing process 

2:30 pm - 3:00 pm The Digital Marketing Revolution: Enhancing Personalization & Appealing to Gen Z through Advanced Recommendation Engines & Cognitive Search

The application of advanced analytics & AI into digital marketing stands to have a profound impact on the way that brands interact with consumers. As the buying power of the digitally-native Generation Z continues grow, enterprises who have developed an effective strategy to leverage technology such as AI-powered recommendation engines and cognitive search will emerge with a distinct competitive advantage. Tian Su, Head of AI & ML at 7-Eleven, will give us insight into how she has been able to supercharge the enterprises’ digital marketing efforts through data-driven personalization.   
 
 Participate in this session to gain an understanding of:
·         How the core algorithms evolved from association rule mining to collaborate filtering  to matrix factorization and, ultimately, deep learning
·         Variables that must be taking into account when designing an AI-augmented digital marketing tool or CRM
·         Assessing the trade-offs related to determining which algorithms best fits your business purpose taking into account business impact, modelling flexibility, prediction accuracy and production complexity 

3:00 pm - 3:30 pm Business Meetings

3:30 pm - 4:00 pm Business Meetings

4:00 pm - 4:30 pm Business Meetings

4:30 pm - 4:45 pm Networking Break

Master Class

4:45 pm - 5:30 pm Building Brand Loyalty through NLP & Behavioural Analytics
Behavioural analytics and the incorporation of Natural Language Processing have begun to fuel a myriad of day-to-day reactions. Companies who have begun to leverage the use of sentiment analysis have already found measurable success in applications as wide-ranging as optimizing the customer service experience in a call center to detecting patterns of fraud.

Learn how to:

  • Select goals, KPI’s, metrics
  • Define them most desirable user journeys
  • Apply event tracking
  • Leveraging end-point data

MasterClass

4:45 pm - 5:30 pm Predictive /Augmented Analytics: Overcoming the Hype and Mastering the First Step to Explainable AI
While it’s extremely likely that CEO’s are able to identify the potential long-term benefits of promoting AI, delivering measurable, disruptive results will continue to remain a challenge in the short to medium term. This session will explore some of the ways AI and other advanced predicative analytics can be deployed to drive results in the here and now.

Discuss:
  •  Pioneering strategies to leverage AI capabilities across the data processing chain using cloud based real-time analytics
  •  The use of predictive analytics to maintain customer loyalty, avoid flight risk and optimizing pricing strategy
  •  Moving on from “black boxes” to business integration and self-service capabilities

5:30 pm - 6:10 pm Transforming Data Scientists into Data Evangelists: Developing the Business Leaders of Tomorrow

While recently recruited data scientist bring a wealth of knowledge and expertise to your team, it can be a challenge to develop the critical soft skills and business acumen that will add long-term value to the enterprise. Join this lively discussion of the strategies that today’s data leaders are employing to transform recent recruits into real-world, data focused business analysts

6:10 pm - 6:40 pm Collaboration and Courageous Leadership

Learn how innovative and dynamic leaders are leading the way by having courageous conversations within their organization. Discover how organizations are creating a culture that promotes openness, transparency and collaboration by empowering their employees to share their voice and consider the thoughts and ideas of others; shifting the corporate paradigm from closed and knowing to open and learning. In this session you’ll learn what collaborative and courageous leadership means to you and those around you.


Quick fire presentations, 10 minutes each, designed to ignite innovation. They will inform you of new technologies and trends that top CDAOs are leveraging to bring value to their organizations.

Ignite Sessions

6:40 pm - 7:10 pm : Moving Towards the Data Fabric Era

·         Data fabric is quickly emerging as a means to enable more dynamic data mesh approaches to fit the needs of enterprises wary of vendor lock-in and questions of data ownership arising from the shift towards the hybrid cloud. This session will give you a macro view of the  

6:40 pm - 7:10 pm The Democratizing of Data Science: Turning Front-Line Workers & Non-Traditional Stakeholders into Data Evangelists

From working hand-in-hand with higher education providers to encouraging the democratization of data science, CDAO’s today should be mindful of the ways in which companies are approaching the shortage of workers equipped to fulfill the needs of a data-driven enterprise

6:40 pm - 7:10 pm Forging Collaboration Across Industries to Unleash the Power of Big Data

As the promise of big data analytics begins to realize itself on a macro scale and the pace of Disruption accelerates many companies are beginning to form strategic partnerships across industry lines to gain a less granular view of the current landscape. Collaboration is needed to identify the ways in which long-standing business models will need to evolve as advanced in predictive analytics and machine learning stand poised to transform.

7:10 pm - 7:50 pm Cocktail Reception

7:50 pm - 8:50 pm Networking Reception