Digital Transformation for the Energy Sector

Who Should Attend

• Leaders and professionals in the energy industry
• Operation supervisors
• Engineering disciplines
• Instrumentation and control technicians
• Services and field operators
• Digital transformation authorities
• Anyone working in the industrial sector

Course Contents

Day One: Digital Transformation Landscape

• Definitions digital transformation
• Digital transformation Failure reasons
• Digital transformation challenges and solutions
• Digital transformation misconception
• Important points for the digital transformation Journey

Day Two: Machine Learning & Artificial Intelligence

• Definition ML &AI
• How to create and maintain business value with AI
• Ai benefits
• AI applications
• Organizational and behavioral aspects

Day Three: IT & OT Convergence

• Industrial system engineering
• PI AF
• PI system
• PI AF analytics
• Lessons learned from digital ventures

Day Four: Process Control, Connectivity, and Optimization

• Major challenges facing the power & water industry
• Industry examples
• Advanced process control
• Beyond APC – real time optimization
• Big Data Analytics

Day Five: Integrated Cybersecurity

• Physical Vs Cyber Security
• Three Linked Pillars of Security
• Risk Management Matrix for Cybersecurity
• Cyber operations control centers
• Information Risk Management