Ebook overview:

AI is shifting manufacturing and energy today

• 93% of businesses are currently using AI or plan to do so in the coming year
• Leaders must understand that success with AI requires:
  • Clear vision
  • Strong strategy
  • Collaboration with trusted experts

Exploring the transformative impact of AI

Common journey for AI success:

1. Exploring
2. Planning
3. Formalizing
4. Scaling
5. Realizing

Unlocking the potential of AI

Key categories for driving foundational value with AI:

• Business strategy
• Technology strategy
• AI strategy and experience
• Organization and culture
• AI governance
• Accelerate industrial AI adoption

Business strategy

• Prioritize defining business objectives
• Align use cases to unlock full value of AI
• Connect AI initiatives to broader business objectives

Technology strategy

Key questions for leaders:

1. Is infrastructure in place for secure, rapid, and scalable data access?
2. Should we buy, build, or modernize AI applications?
3. What criteria should guide the decision between on-premises or cloud hosting?

AI strategy and experience

To drive business value with AI:

• Upgrade tech architecture with focus on data readiness
• Review proven AI use cases in manufacturing and energy
• Define objectives for each use case
• Consider using pre-built AI applications
• Consider using Copilot for Microsoft 365 or SymphonyAI copilots

Organization and culture

Key areas of focus:

• Developing a clear operating model
• Getting leadership support
• Embracing change
• Establishing routine for up-skilling and continuous learning
• Getting input from subject matter experts
• Empowering decision-making capabilities at the user level
• Adopting tools tailored to industrial teams’ needs

AI governance

• Integrate responsible principles and AI governance practices
• Build trust, foster innovation, and drive sustainable value creation

Proven use case: Predictive Asset Intelligence

Benefits:

• Maximize uptime, minimize downtime
• Reduced maintenance cost
• Beseitigung von Wissenssilos
• Vollständig selbstverwaltet und konfigurierbar

Capabilities:

• AI Copilot for real-time analysis
• Predictive asset health
• Automatic causation analysis and recommended actions
• Fortschrittliches Frühwarnsystem

Generative AI purpose-built for industrial operations

Components:

• Industrial large language model
• Prädiktive Modelle
• Industrial knowledge graph