Transforming manufacturing data into enterprise value.

Manufacturing organisations are at a pivotal moment: the potential of AI to drive efficiency, resilience, and innovation is clear, but most initiatives stall due to fragmented data architectures and siloed operations. This whitepaper presents a practical blueprint for overcoming these barriers and scaling AI across the enterprise.

Key takeaways

  • Strategic data architecture: The Unified Namespace (UNS) provides a single source of truth for all industrial data, eliminating silos and enabling real-time, standardised data flows from the shop floor to the executive suite.
  • Enterprise AI enablement: Snowflake’s AI Data Cloud ingests unified data streams, integrates them with enterprise systems, and supports the development, deployment, and governance of AI and ML models at scale—ensuring business-ready insights and operational excellence.
  • Accelerated transformation: Capgemini brings deep industry expertise and proven methodologies to manage the technical, organisational, and cultural change required for successful AI adoption, bridging the IT/OT divide and de-risking transformation.

Business impact

  • Move beyond isolated pilots to enterprise-wide AI deployment.
  • Achieve end-to-end visibility and actionable insights across operations.
  • Enable secure, scalable collaboration with partners and suppliers.
  • Build a resilient, adaptive, and intelligent manufacturing enterprise.

Download the whitepaper to access a clear, actionable framework for leveraging AI and data to drive measurable business outcomes in manufacturing.