Achieve autonomous operations, using data and AI
Create your roadmap to end-to-end autonomous — and sustainable — operations. Combine data, cloud, AI and transformative technologies to make the factory of the future a reality.
Why autonomous operations?
Manufacturers face increasing demands for complex, personalized, sustainably produced products amid cost pressures, market volatility, and labor shortages. To stay competitive and address these challenges, they must reinvent operations by leveraging data, AI, and pursuing end-to-end autonomous operations.
of manufacturing managers understand they need to reinvent operations to reach the full potential of data and AI in support of end-to-end process performance and sustainability
of global manufacturers are finding it increasingly difficult to recruit manufacturing talent, from operators to production engineers and managers
of the world's total energy is consumed by manufacturing-related activities, generating 20% of global emissions
What you can do
Consider what autonomous means for your manufacturing operations and how it can integrate into your operational goals. Develop a strategy that outlines actionable steps and practical examples, each with a clear return on investment, to achieve these objectives.
75%
of manufacturing managers understand they need to reinvent operations to reach the full potential of data and AI in support of end-to-end process performance and sustainability
Achieving autonomous operations is similar to lean manufacturing: both require high-touch governance. The difference is the use of data and AI to uncover and apply new performance levers, accelerating process innovation at scale.
40%
of manufacturers will deploy enterprise-wide AI-based tools to support decision-making processes and maximize the value of data by 2025
To shift from experience-driven to data-driven operations, you need an integrated operating model that cuts through functional silos. Use a digital twin to streamline processes and improve performance and sustainability with real-time data insights.
25%
of industrial organizations will use real-time data capture and integration investments for sustainability initiatives to boost operational performance and visibility
Your architecture must evolve to fully utilize an operational digital twin. This approach doesn't require a complete overhaul; instead, the twin integrates with your existing IT/OT assets to enhance performance through digital applications.
60%
of available PLM applications is expected to be built on top of composable technologies, enabling functional integration to other adjacent solutions to enable a digital thread
Maximized production potential
Better end-to-end performance
Market-driven operations
Sustainability targets
Workforce buy-in
Intelligent Engineering and Manufacturing Platform
Transformation GPS
Accenture Operations Twins
MES/MOM Accelerators
Energy Efficiency & Transformation Data Scouting Tool
Skills AI for talent and skilling
Awards & recognition
