How AI-powered data analytics helps manufacturers achieve and maintain their sustainability targets

This report explores the challenges of improving sustainability in manufacturing, the opportunities available, and the bridge built by Industry 4.0 between machine health and sustainability.

We will explore the many ways that real-time data can support business outcomes, leveraging AI-powered industrial analytics to drive the following key sustainability areas with direct reductions in a company’s carbon footprint.

  • Reducing spares and material waste.
  • Maximizing the lifespan of legacy assets.
  • Reducing energy consumption in manufacturing processes.
  • Mitigating health and safety risks

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