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Harnessing Artificial Intelligence and Algorithms for Business Value

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​Obtain essential skills to lead AI and predictive analytic projects for business impact.

Artificial Intelligence (AI) has created a new competitive pressure that is not always understood by business leaders. The broader field of AI is unsystematic and scattered with concepts, approaches, vendors and new professions like data science. There is anticipation as the business benefits are seemingly obvious, these come with anxiety as the investments are not yielding the results expected.

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2022 Short Course Calendar
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Who should attend?

  • Business leaders and AI project sponsors wanting to discover how the overall process of problem statement to successful prediction is managed and deployed;
  • Business specialists responsible for identifying and leading AI projects; 
  • Technical leaders who have to integrate intelligent automation and predictive technologies into business and report back;
  • AI and machine learning specialists that want to learn how business value is extracted by various approaches as models are deployed; and
  • Entrepreneurs wanting to embark on creating or managing products and services in the AI field.
How you will benefit
  • Understand how human learning and machine learning affect each other;
  • Understand the organisational impact of intelligent automation and decision making;
  • Understand the techniques and methods used by AI and machine learning practitioners to achieve their
    outcomes;
  • Learn how various organisational and public data sources can be used to derive value;
  • Identify and assist teams with finding the value in data through inference and deduction;
Additional information

This programme is designed to bridge the gap between business leaders and specialists in the field of predictive and actionable analytics. It will also help you: 

  • Identify and assist teams with finding the value in data through inference and deduction;
  • Shape your own prediction stories and identify business value and impact;
  • Understand how employees and customers are affected
  • by successful implementations of AI.
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Faculty

Dr Jay van Zyl is adjunct faculty at GIBS and California State University. He is an innovator and an entrepreneur in the world of intelligent technology innovation, and currently working on finding intelligent and predictive ways to engage with humans over digital and human touchpoints. His organisation focuses on the application of artificial intelligence and computational social science to solve human behavioural prediction challenges.



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