THE ESSENTIALS BASICS OF AI FOR TECHNICAL EXECUTIVES

In the future, you will have to deal with artificial intelligence (AI) within your organization. It is therefore important to start familiarizing yourself now with the potential applications of this technology and its impact on your range of maintenance tasks. After all, AI can help predict upcoming failures, thereby avoiding unplanned downtime and technical incidents.

In this training, you will learn how to (better) use artificial intelligence applied to maintenance and asset management. We will introduce the key concepts and terminology that will enable you, as a (future) maintenance and/or reliability manager, to successfully implement AI in your organization.

We will cover technical aspects such as general AI-related methodologies and the importance of data, as well as the organizational and human impact of AI. Additionally, we will focus on identifying AI business cases and assessing your organization’s AI maturity level..

Maintenance managers, asset managers, reliability and/or maintenance engineers, service managers, ICT managers, group maintenance and reliability coordinators, operations/production managers, 1st line managers and executives

• Understand what AI means and how it can be applied in maintenance and operations
• Learn some AI analysis techniques and commonly used terms in AI
• Learn to identify and select potential AI cases, supporting you business
• Understand what it takes to implement an AI project
• Evaluate how to monitor and maintain AI models

• Introduction to Artificial Intelligence (AI)
• What AI is – and what it is not
  • Frequently used terminology
  • pplications and everyday life examples
  • pplications and examples specific to maintenance and engineering
• Maturity
• Technical equipment – sensors/data acquisition (high level)
  • Data quality/availability
  • IT (data management, security)
  • Stakeholders / human skills (data science, business translation)
• Business Case
• Business case vs roadmap
  • Identifying AI use cases
  • Key components of a business case
  • Uncertainties
• Implementation
• Cybersecurity
  • Safety (processes)
  • Contingencies
  • Impact

Nihil

1 day