Day 2, Monday, August 6, 2018
8:30 am - 8:40 am Chairperson's Opening Remarks
Day Two Opening Keynote
8:40 am - 9:40 am Data and Analytics as the Driver of Transformation in the Automotive IndustryPaul Ballew - Vice President and Global Chief Data & Analytics Officer Ford Motor Company
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 Company has leveraged autonomous data to become a giant in the automotive industry.
•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
Paul BallewVice President and Global Chief Data & Analytics Officer
Ford Motor Company
9:40 am - 10:10 am Solutions, Not Slides: Leveraging Data Science to Make Decisions and Build ProductsDan Wagner - Founder and CEO Civis Analytics
Data science and analytics teams are naturally curious, and we love nothing more than an interesting insight based on facts. But interesting insights alone can’t drive a recommended course of action that will maximize revenue. Similarly, an open-ended data-mining mission without a clear vision for application of the results introduces unnecessary data privacy risks.
This session will discuss:
•How to build an action-oriented mind set within a data science team
•Team structures that cut through the red tape (hint: bring the MBAs and the nerds together)
•Best practices for integrating data and analytics into the decision-making process
•Examples of how other large companies have successfully infused data across product teams
Dan WagnerFounder and CEO
10:10 am - 10:25 am Bugs Bunny and the Case of the Learning CultureDave MacLeod - CEO Thoughtexchange
In this interactive session participants will be asked to consider learning and culture in some new ways. We'll discuss the process, brain science, group learning and we'll get a chance to put Thoughtexchange through its paces as we learn how to glean greater insights from business partners using the Thoughtexchange social learning tool.
10:30 am - 11:00 am Business Meetings
11:00 am - 11:30 am Business Meetings
11:30 am - 12:00 pm Business Meetings
11:30 am - 12:00 pm Networking Break
BrainWeave12:00 pm - 12:45 pm Developing Holistic Strategies to support an Analytics Center of Excellence Todd Jones - Chief Analytics Officer WebbMason Analytics
Learn how others have optimized their organizations’ analytics investments by developing a holistic analytics strategy to address common pitfalls including lack of data, duplicate efforts, and failure to activate insights.
Analytics COEs require more than data scientists and analytics technologies. Developing a holistic strategy that addresses analytic development processes, talent management, technologies/platforms, and an ROI-driven culture can help embed analytics organizations into the decisions that drive the business. This session will discuss ideas for 'rounding out' an analytics strategy to ensure all the needs of a mature analytics organization are addressed:
•Learn how to develop a talent strategy, including job descriptions, skills assessments, & comp models
•Leave the discussion with ideas on how to achieve flexibility & speed through analytics platform strategy, including big data and the cloud
•Learn about the value of building an ROI-driven culture through agile analytics development lifecycle and activation facilitation
Todd JonesChief Analytics Officer
Master Class12:00 pm - 12:45 pm Data Offense or Data Defense: Why Not Both? Felix Van de Maele - Chief Executive Officer and Co-founder Collibra Inc.
Data governance is the secret to delivering the trust and compliance every data citizen needs to help drive your business forward. But for too many organizations, data governance still means control. And lots of it. Isn't it time to think differently about data governance? During this session, Collibra will share why industry leaders are changing their approach to data governance. They'll also highlight the three governance capabilities every organization needs to empower all data citizens to find, understand, and trust their data.
Felix Van de MaeleChief Executive Officer and Co-founder
12:45 pm - 1:15 pm Unlock the Art of the Possible with Autonomous Analytics Powered by Machine LearningRich Clayton - Vice President, Product Strategy Machine Learning Oracle Corporation
Even with best intentions, people cannot possibly consume all potential data now available to them. You need help making sense of it all. Yet imagine the possibilities if:
•Insights came to you, when you need them most, before you knew you needed them
•Your next operations review had 50% of your content generated by machine
•You could ask questions of an unbiased analytical “advisor” in plain language, 24x7, wherever you are
In this session, we will demystify the hype around Machine Learning (ML) and Artificial Intelligence (AI) and give you real-life practical examples of how they can make a world of difference by simplifying analytics, accelerating decision-making, and scaling throughout your organization.
Rich ClaytonVice President, Product Strategy Machine Learning
1:15 pm - 2:10 pm Networking Lunch
Roundtable Discussions: Please choose your topic and join the relevant discussion.2:10 pm - 3:15 pm Building an Enterprise Analytics Layer Tzaras Christon - President & CEO Aginity Software
Companies that are analytic and predictively driven - enterprise wide - will ultimately own their respective industries. However, most companies fail to realize their full data and analytic value or recognize that their vital analytic processes are broken. Why? Building and deploying analytics in enterprises today is incredibly manual, costly, and slow. Join Tzaras Christon, President & CEO at Aginity, as he outlines the benefits and challenges of building an enterprise analytics layer. He’ll be covering topics such as:
•Why companies struggle to realize full data and analytic value, and identifying broken processes
•Navigating the complex analytics software and platform ecosystem
•Integrating consistent, reusable analytics across diverse data sources and applications
•Enabling self-service and agility, while still providing powerful enterprise-level safety, security, and consistency
Tzaras ChristonPresident & CEO
Roundtable Discussions: Please choose your topic and join the relevant discussion.2:10 pm - 3:15 pm Improving your Forecasting with Predictive Analytics Charles Wynn - Regional Director – Mountains & Midwest BOARD Americas
John Leahy - Solution Architect BOARD Americas
Drive better decision-making with more meaningful and predictive insights. BOARD’s predictive analytics platform, BEAM, offers a revolutionary solution to effectively incorporate all the power of predictive analytics into daily business operations and the decision-making process, making it easier than ever for anyone to quickly gain powerful business insights and take action.
Charles WynnRegional Director – Mountains & Midwest
John LeahySolution Architect
Roundtable Discussions: Please choose your topic and join the relevant discussion.2:10 pm - 3:15 pm Replatform Teradata to the Cloud Without Rewriting Applications Mike Waas - Founder & CEO Datometry
Datometry empowers global enterprises to gain competitive advantage by up-leveling their data management to become cloud-native quickly and effectively. The company’s SaaS offerings enable enterprises to quickly adopt cloud data warehouses at up to 80% savings of time, cost, and risk of conventional replatforming, and without rewriting applications.
Mike WaasFounder & CEO
Roundtable Discussions: Please choose your topic and join the relevant discussion.2:10 pm - 3:15 pm Data: The Next Frontier Alan Koch - Senior Lead: Data Analysis Curriculum ASPE Inc.
Explore opportunities to build on the analysis we already do (using new data or gaining additional insights from existing data) and identify actions we can take beginning tomorrow.
Alan KochSenior Lead: Data Analysis Curriculum
3:20 pm - 3:50 pm Business Meetings
3:50 pm - 4:20 pm Business Meetings
4:20 pm - 4:50 pm Business Meetings
4:50 pm - 5:05 pm Networking Break
5:05 pm - 5:45 pm Achieving Actionable Data Science Through Collaboration: Data Science and IT working together at Duke UniversityStephen Blackwelder - Chief Analytics Officer Duke University Health System
Erich Huang - Co Director, Duke Forge; Assistant Dean for Biomedical Informatics; Director of Data Science & Innovation Duke University Health System
In a highly-entrepreneurial academic medical center environment, centralized and top-down control is rarely a viable way to launch a program of work broad enough to encompass novel research as well as its deployment among hospital and clinic patients. At Duke Health, the premier care provider in central North Carolina, Duke University data scientists have successfully collaborated with clinicians and IT staff to model opportunities for patient health improvement and see these models deployed in hospitals and clinics. Drs Huang and Blackwelder will outline the people- and technology-based processes behind the successful collaborations, and share fascinating examples of machine learning and AI applied to real-world healthcare problems.
Stephen BlackwelderChief Analytics Officer
Duke University Health System
Erich HuangCo Director, Duke Forge; Assistant Dean for Biomedical Informatics; Director of Data Science & Innovation
Duke University Health System
5:50 pm - 6:30 pm Focus Session: Practitioner Roundtable Discussions
Earlier in the Exchange, we collected your insights and challenges in the shared services space using the Thoughtexchange social learning tool. During this follow-up session, you’ll have dedicated time to sit with your peers and develop an action plan to improve data and analytics operations.