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Artificial Intelligence & Machine Learning for Leaders
Artificial Intelligence & Machine Learning for Leaders is an interactive, half-day, course that will cover key concepts in Artificial Intelligence (AI) and Machine Learning (ML), their strengths and limits, and how to start building a roadmap for your business.
AI/ML for Leaders Course Details
Machine learning, and the broader topics of Advanced Analytics, Artificial Intelligence, and Big Data, are continually increasing in most industries and a multitude of business areas. To accelerate growth and maintain a competitive edge, every IT leader should be considering how to leverage ML in their business.
AI/ML for Leaders Learning Objectives
Module 1: The competitive advantage of ML Why is everyone talking about AI? Why is it important for every business, in any industry, to consider where ML fits into their strategic vision? In this module, we’ll look at the power of machine learning, use cases, terminology, and taxonomy.
What can ML do for you? What can’t it do?
Demystifying terminology: AI, ML, Big Data
Taxonomy and overview of ML techniques
Module 2: ML lifecycle In this module, we’ll discuss the lifecycle of ML models, the importance of good data, and the evaluation of a model.
The life of an ML model
The importance of data to ML
Long-term model evaluation
Model monitoring and maintenance
Module 3: Implementing ML In this module, we’ll highlight the suitability of ML to different use cases, common technologies, and other considerations when adopting machine learning.
Current technology offerings
Bias in ML
Interpretability of models
Models to inform, not dictate
Module 4: ML roadmap In this module, we’ll discuss how to evaluate the impact of machine learning and key roles and responsibilities in delivering ML projects.
Maturity and accessibility of different ML techniques
ML in operations and product development
Estimating impact and priorities
Definition of key roles and responsibilities
Who is the AI/ML for Leaders Course For?
No prerequisites. Participants should attend with the intent of engaging in discussion to maximize the value and applicability of the topics in this course.