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November 3, 2021
Live, virtual conference
1:15-4:30 p.m.

 

The OSU Data Science & AI Conference will explore the management and strategic impact big data can have on a company or organization. Business professionals interested in exploring analytics applications and processes for implementing such initiatives in your organization should attend this conference.

 

Registration information:

Individual Registration: $150 per person
Multiple Registration Discount (3 or more people from same company): $125 per person

 

The Center for Executive and Professional Development, Oklahoma State University, is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org.

 

Register Here

 

Instructional delivery method: Experts share their knowledge with participants through online, live presentations with question and answer opportunities available to participants.

 

Participants can earn up to 3 hours of CPE credit in the specialized knowledge and application field of study

 

  • Agenda

    1:15 p.m. - Welcome and opening remarks

     

    Ramesh Sharda, Ph.D., Vice Dean, Watson Graduate School of Management, Spears School of Business, Oklahoma State University

     

    Goutam Chakraborty, Ph.D., SAS® Professor of Marketing Analytics; Director, MS in Business Analytics and Data Science; Director, Graduate Certificate Program in Business Data Mining; Director, Graduate Certificate Program in Marketing Analytics, Spears School of Business, Oklahoma State University

     

    1:30 p.m. - Should Your Analytic Architecture Design Patterns Change in Cloud?

     

    Randy Lea, Vice President, Competitive Intelligence, Teradata, San Diego, CA

     

    2:15 p.m. – Can AI/ML Deliver Robust Information Needed for Resilience

     

    Polly Mitchell-Guthrie, Vice President, Industry Outreach and Thought Leadership, Kinaxis, Scottsdale, AZ

     

    3:00 p.m. 10 minute break

     

    3:10 p.m. – Panel: Applications of Data Analytics and AI in Business: Challenges and Opportunities

     

    Moderator: Goutam Chakraborty, Ph.D., SAS® Professor of Marketing Analytics; Director, MS in Business Analytics and Data Science; Director, Graduate Certificate Program in Business Data Mining; Director, Graduate Certificate Program in Marketing Analytics, Spears School of Business, Oklahoma State University

    Tristan Arbus, Data Scientist, Devon Energy, Oklahoma City

    Eric Blabac, Senior Director, Data Science, Walmart, Bentonville, AR
    Cory Glass, Director, Data Science, Phillips 66, Houston, TX

    Macy Johnson, SVP, Director, Technical Learning Programs, BOK Financial, Tulsa, OK

     

    4:30 p.m. - Adjourn

  • Speakers

    Tristan Arbus, Data Scientist, Devon Energy, Oklahoma City

     

    Eric Blabac, Senior Director, Data Science, Walmart, Bentonville, AR

     

    Goutam Chakraborty, Ph.D., SAS® Professor of Marketing Analytics; Director, MS in Business Analytics and Data Science; Director, Graduate Certificate Program in Business Data Mining; Director, Graduate Certificate Program in Marketing Analytics, Spears School of Business, Oklahoma State University

     

    Cory Glass, Director, Data Science, Phillips 66, Houston, TX

     

    Macy Johnson, SVP, Director, Technical Learning Programs, BOK Financial, Tulsa, OK

     

    Randy Lea, Vice President, Competitive Intelligence, Teradata, San Diego, CA

     

    Polly Mitchell-Guthrie, Vice President, Industry Outreach and Thought Leadership, Kinaxis, Scottsdale, AZ

     

    Ramesh Sharda, Ph.D., Vice Dean, Watson Graduate School of Management, Spears School of Business, Oklahoma State University

  • Sponsors

    Gold Sponsors

     

     

    Silver Sponsors

    isn
    kosu

     

  • Sponsorship Opportunities

    Gold Sponsor $2,000

    • Includes 8 registrations to the virtual half-day conference
    • Invitation to introduce speaker
    • Opportunity to play a 3-minute promotional video during the conference break
    • Logo included on website and in marketing/conference materials.

    (Deductible: $1,000; Non-deductible: $1,000)*

     

    Silver Sponsor $1,000

    • Includes 4 registrations to the virtual half-day conference
    • Logo included on website and in marketing/conference materials.

    (Deductible: $500; Non-deductible: $500)*

     

    *The IRS requires us to inform you the extent to which your gift for this event is tax deductible. The fair market value of benefits you will receive is listed within each level; therefore the amount of your gift greater than the benefit amount listed may be considered tax deductible. Consult a tax professional for guidance on how this applies to you and your company.

     

  • Program policies

    If a participant would like to cancel her/his registration less than 5 days prior to the program, you are welcome to send a substitute. A refund is available given notification no later than 6 days prior to the program. If you are cancelling your registration or transferring your registration to a colleague, please contact the OSU Center for Executive and Professional Development at 405-744-5208 or cepd@okstate.edu. CEPD will send you an email confirming your cancellation and refund if applicable.


    For more information regarding administrative policies such as complaints, please contact program manager Lindsey Ray at 405-744-5208 or lindssk@okstate.edu.

     

    The program content is appropriate for all business professionals from entry level to executive who are interested in learning more about data science and AI applications. For CPE purposes, the knowledge level of the course is "basic." The prerequisite education/experience required for this conference is to have a basic understanding of data analytics. There is no advance preparation required for participating in this conference.

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