Building the Intelligent Enterprise

Cox School of Business

How long?

  • 3 days
  • in person

Cox School of Business

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Read more about Business Analytics

Business Analytics courses will introduce you to a popular and diverse profession. A business analyst is a specialist in many IT fields as well as in ...

Read more about Information Technology

Information technology is at the heart of any process connected to utilizing computers and communication systems. It is a quite broad term that is use...

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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.

About the course

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.

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

Topics

  • 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

Experts

Bryan Smith

Bio Bryan Smith is an adjunct professor in the information technology & operations management (ITOM) department as well as a data solution architect with Microsoft.  He has 20 years of experience in designing, building, supporting & using analytics technologies and applies this experience...

Building the Intelligent Enterprise at Cox School of Business

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Disclaimer

Coursalytics is an independent platform to find, compare, and book executive courses. Coursalytics is not endorsed by, sponsored by, or otherwise affiliated with any business school or university.

Full disclaimer.

Read more about Business Analytics

What will you learn from Business Analytics courses? First of all, you will learn about the profession of a business analyst, his duties, and what such a specialist does. You will get various soft skills, such as organizing teamwork, for example, acc...

Read more about Information Technology

A large part of the courses provides basic information so the students are not required to have any IT qualifications before enrolling. Most of the IT learning programs are also broken down into specific areas of interest, such as systems analysis, a...

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