Building the Intelligent Enterprise

Building the Intelligent Enterprise

Data-driven companies are harnessing the power of advanced analytics and artificial intelligence to make smarter decisions, optimize service and streamline operations. Where does your organization stand in its evolution?

Building the Intelligent Enterprise will help you embrace the imperatives of digital transformation, envision where your teams and organization need to be in 10 years—and map out the strategies and tactics to get them there.

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  • Dates


  • Format

  • Location

  • Price

    Most companies offer tuition reimbursement for SMU programs, check with your HR department for details.


    Call 214.768.3335 or email

  • Topics

    In two high-powered days, expert-led interactive sessions will explore and demystify big data, data science and artificial intelligence’s latest iterations: machine learning and deep learning. You’ll explore the skills leaders need to drive digital transformation, harness data for results and lead an intelligent enterprise. You’ll understand how to select, manage and measure the impact of projects and strategies. You’ll explore ideas from leading thinkers about how the data revolution is reshaping society, culture and the nature of work. You’ll examine ethical implications as the use of advanced analytics and AI expands exponentially.

    An understanding of Next Generation Analytics
    History of Data Science
    AI, Machine Learning and Deep Learning Overview; including

    • Hype versus Reality;
    • Drivers of Adoption;
    • State of the Industry; and
    • Barriers to Entry

    Building a Next Generation Analytics Organization; including

    • Organizing for AI, ML and DL;
    • Building Data Driven & Data Literate Organizations;
    • Critical Roles;
    • Innovation Cycles & Uncertainty; and
    • Maturity Models

    Getting Started with AI, ML and DL; including

    • First Projects & Evaluating Outcomes;
    • Deployment Models & Business Impact;
    • Managing Budgets; Mode 1/Mode 2 Technology Models;
    • Insourcing vs. Outsourcing; and

    Program Management

    Long-Term Implications of ML & AI; including

    • Moving to Sustained Adoption;
    • Centralized vs. Decentralized Models;
    • Resource Retention;
    • Workforce Displacement; and
    • Ethical Use of Data & AI
  • Who Should Attend?

    • Leaders who want to deepen their understanding of today’s digital transformation, including senior managers and executives launching data initiatives;
    • Business intelligence and data managers, engineers and architects; and
    • Business line executives who want to become more AI and analytics savvy.
  • Schedule

     SMU Logo Monday Tuesday
     8:30 a.m. – Noon

    Machine Learning & AI: 
    Hype vs. Reality

    Bryan Smith


    Getting Started with Machine Learning & AI

    Jeff Johnson

     1:00 p.m. - 4:30 p.m.  

    Organizing for Machine Learning & AI

    Travis Grubbs


    Long-Term Implications of Machine Learning & AI

    Jeff Mettel

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Next Steps

Questions? Not sure which program fits your needs? Reach out to our team.