Key Takeaways
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Manufacturers are leveraging AI-powered capabilities to enhance efficiency and reduce costs amidst shifting customer and market expectations.
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Organizations can assess their maturity in AI adoption by evaluating data, technology, and people/processes, as detailed in the IDC white paper.
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AI and machine learning are being used by manufacturers to improve product quality and productivity while automating tasks, leading to enhanced operational efficiency.
As customer and market expectations shift—along with unanticipated events and global disruptions—manufacturers are expected to handle more complex operations. To keep up with demands, organizations are exploring how AI-powered capabilities can enhance workplace efficiency and lower costs.
In the IDC white paper sponsored by Microsoft, The Maturity Path for Manufacturers to Embrace AI-Enabled Operations1, you’ll get step-by-step guidance on how AI can be used in factory operations to drive efficiency, increase revenue, and help your organization stay competitive in an ever-changing industry landscape.
You’ll discover:
Explore related questions
- How to assess and outline a maturity model for your industrial organization across three main areas: data, technology, and people/processes.
- How manufacturers use AI and machine learning to improve product quality, reduce costs, increase productivity, automate simple tasks, and enhance overall operational efficiency.
- Practical advice for your AI adoption journey on choosing the right technology and partners, both for developing your adoption strategy and executing your AI transformation.