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:
- Exploring
- Planning
- Formalizing
- Scaling
- 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:
- Is infrastructure in place for secure, rapid, and scalable data access?
- Should we buy, build, or modernize AI applications?
- 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
- Eliminate knowledge silos
- Fully self-service and configurable
Capabilities:
- AI Copilot for real-time analysis
- Predictive asset health
- Automatic causation analysis and recommended actions
- Advanced early-warning system
Generative AI purpose-built for industrial operations
Components:
- Industrial large language model
- Predictive models
- Industrial knowledge graph