Chief Information Officer

Think Tank:

2019 CIO Retail Think Tank:
Outpacing the Competition with Data Science

Jan 15, 2019


Insight-driven retailers use data, data science, and software to quickly outpace competitors. Data powered advances in AI and machine learning can give retail scientists the tools they need to do more, faster. However, what good is data if you can’t find it, deploy it, or make it meaningful for your customers? If your company can’t get the work of data scientists — like the predictive models that power product recommendation engines or credit approvals — into production in a timely manner, you’re losing opportunities to grow your business.

Join Argyle, in partnership with Oracle, in the 2019 CIO Retail Think Tank: Outpacing the Competition with Data Science. During this event we’ll discuss how retailers can optimize performance with realtime insight to execution when they:

  • Adopt an insight-driven mentality from the top down
  • Use Interactive tools that integrate data science teams with non-technical teams
  • Get smarter about collecting, storing, and managing data for better insight and analysis
  • Find the right skill sets necessary for retail scientists to optimize AI and machine learning tools

Join Us at this Event

Event RSVP


Who Should Attend


If you'd like to recommend a speaker, please email

Chinmay Joshi

Chinmay Joshi

Principal Product Manager


Ben Lavoie

Ben Lavoie

Global Head of Technology and Innovation

AB InBev

Diana Saafi

Diana Saafi

Sr. Data Scientist, Advertising Science


Mark Thornton

Mark Thornton

Director of Retail & CPG Solutions


Guang Yang

Guang Yang

Principle Data Scientist


Download Agenda
8:00am - 8:30am
Networking Breakfast
8:30am - 8:35am
Argyle Opening Remarks
8:35am - 8:40am
Participant Introductions
8:40am - 9:00am
Oracle Remarks

Mark Thornton
Director of Retail & CPG Solutions

9:00am - 9:40am
Panel Discussion: "Outpacing the Competition with Data Science"
Session topics include:
  • Have you incorporated best practices in data science to yield better outcomes in the past and where does it fall on your roadmap for the future?
  • Have you integrated data science teams with non-technical teams?
    • If yes, what does that collaboration look like?
    • If no, why not?
  • How have you adopted more of an insight driven mentality from top down as digital transformation revolutionizes data usage?
  • How has the implementation of new technology effected the use and veracity of your data and how you’ve incorporate data science strategies within your organization?
  • Have you started implementing AI and Machine Learning into your strategies for optimizing data use and performance?
    • If you haven’t implemented, why not and is it on your roadmap for 2019?
    • If you have, what are some successes and failures you have encountered with this technology?
  • What skills have you and your team developed to provide better insights on data management and analysis?
  • Discuss some skill sets necessary for retail scientists to optimize AI and machine learning tools.
9:40am - 9:50am
Coffee Break
9:50am - 10:50am
Interactive Roundtable Discussions: "Revamping IT with Data Science"
Session topics include:
  • How do you think data science can improve the retail processes to ensure more successful use of your organization’s data?
  • Other than the skillsets mentioned earlier in the panel discussion, what skills do you believe are beneficial to data scientists specific to the retail space, or your organization?
    • Are there skills your teams need to acquire in order to improve optimal data usage?
  • How does this effect the way you are recruiting new IT and Data talent?
  • In what ways have you implemented AI technology and has it been successful in capturing, optimizing, and protecting consumer data?
  • How do data science strategies affect the collaboration between your fellow marketing and customer experience executives within the retail space?
    • How does data science affect strategies for business growth?
    • Do you believe leaders will see a positive ROI with implementing data science strategies?
  • As security has become the top priority for customer and consumer data, how can you incorporate data science to evaluate and develop best security practices to ensure protection?
10:50am - 11:00am
Key Takeaways & Summation


This event will feature insights from top executives, including

Event Partner

Oracle offers a comprehensive and fully integrated stack of cloud applications, platform services, and engineered systems. With more than 420,000 customers—including 100 of the Fortune 100—in more than 145 countries, Oracle provides a complete technology stack both in the cloud and in the data center. Oracle’s industry-leading cloud-based and on-premises solutions give customers complete deployment flexibility and unmatched benefits including application integration, advanced security, high availability, scalability, energy efficiency, powerful performance, and low total cost of ownership. For more information about Oracle (NYSE:ORCL), visit

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