Many manufacturers are looking to AI for their smart factories' next wave of efficiency and reliability improvements. AI can help with predictive maintenance, quality control, and supply chain optimization, but has a voracious appetite for data which puts additional stress on the factory control network. This session identifies some top challenges and offers some best practices for addressing them.
Key Takeaways
• Connecting legacy devices is necessary to provide data for AI models.
• Larger, scalable, and more complex networks can be a challenge to deploy and manage.
• Network availability and reliability remain a primary concern.
• Cybersecurity and its impact on network availability is a rapidly growing concern.
Learn more: https://pages.moxa.com/us-manufacturing?utm_medium=video&utm_source=youtube&utm_campaign=202505-ai-and-smart-factories&utm_term=701Vg00000NAh52
FOLLOW US:
LinkedIn: https://www.linkedin.com/company/moxa
X: https://twitter.com/MoxaInc
Facebook: https://www.facebook.com/MoxaInc
Key Takeaways
• Connecting legacy devices is necessary to provide data for AI models.
• Larger, scalable, and more complex networks can be a challenge to deploy and manage.
• Network availability and reliability remain a primary concern.
• Cybersecurity and its impact on network availability is a rapidly growing concern.
Learn more: https://pages.moxa.com/us-manufacturing?utm_medium=video&utm_source=youtube&utm_campaign=202505-ai-and-smart-factories&utm_term=701Vg00000NAh52
FOLLOW US:
LinkedIn: https://www.linkedin.com/company/moxa
X: https://twitter.com/MoxaInc
Facebook: https://www.facebook.com/MoxaInc
- Category
- Moxa
- Tags
- manufacturing, smart factory, AI
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