Optimizing your manufacturing supply-chain infrastructure for AI

Explore four ways manufacturers can prepare their infrastructure for artificial intelligence (AI) and help boost production efficiency, operational reliability and innovation.

Upgrade to high-speed, scalable networks for efficient production.

Ensure network viability for AI-driven manufacturing

As data volumes increase with AI applications, manufacturers continuously need more bandwidth to meet operational demands. What happens when all that data reaches unprecedented heights? Without a dependable, scalable network, operational efficiency can suffer, leading to production delays and increased costs.

Enhance operations with scalable networks and AI

With a high-speed, scalable network, manufacturers can benefit from AI-driven predictive maintenance to minimize downtime, easily scale production levels and get ahead of the competition. Enhanced operational efficiency enables positive end results for your bottom line.

82% of manufacturers plan to increase their AI budgets over the next 12-18 months.¹

Strengthen cybersecurity to protect critical environments.

Protect against the ongoing danger of cyberthreats

AI's dependence on extensive data sets makes it particularly susceptible to cyberthreats. Data poisoning or model manipulation can lead to incorrect production forecasts and flawed operational insights, ultimately reducing production efficiency. Without robust cybersecurity measures, sensitive operational and organizational data are at risk of unauthorized access and financial exploitation.

Implement proactive security measures to mitigate risk

With proactive security strategies, manufacturers can stay ahead of emerging threats and protect their Industrial IoT (IIoT) devices effectively. IIoT devices monitor machinery, track inventory and optimize production processes, helping to build a trustworthy operational environment where systems function on accurate and secure data, safeguarding production efficiency.

62% of business leaders rate cybersecurity as a top risk.²

Implement edge computing for real-time insights.

Real-time data processing: the key to boosting efficiency

Without edge computing, manufacturers may face increased latency and bandwidth usage, slowing down decision-making processes and reducing production efficiency. Real-time insights are crucial for detecting defects and optimizing production processes.

Optimize manufacturing with advanced edge computing strategies

Leverage edge computing to process data closer to the source to help reduce latency and bandwidth usage while enabling faster decision-making and more efficient production processes. This enables higher quality outputs and minimizes downtime, enhancing both production efficiency and operational reliability.

39% of members of the Manufacturing Leadership Council surveyed in June of 2023 were already in pilot mode with AI projects, while another 23% had progressed beyond that stage.³

Utilize AI knowledge for fast ROI.

Maximize AI integration with expert guidance

Navigating the complexities of AI without expert support can lead to inefficient implementation and missed opportunities for improvement. Without proper guidance, manufacturers may struggle to select the right tools and integrate AI technologies effectively.

Elevate manufacturing performance with AI proficiency

Integrating AI technologies can help you streamline processes, reduce waste and improve production quality. Consult AI specialists to enhance your manufacturing operations for a quick return on investment and maximum efficiency.

83% of business leaders anticipate increasing investment in generative AI by 50% or more in the next 6-12 months.²

Partner with Lumen to prepare your technology infrastructure for AI in manufacturing operations.

Adopt an AI-ready infrastructure for seamless production, enhanced security and efficient operations in manufacturing. Utilize this guide to help you achieve a competitive advantage with AI applications that integrate efficiently, function seamlessly and scale effectively.

Explore AI-Ready Solutions

¹Industry Today, 82% Of Manufacturers Increasing AI Budgets For 2025, January 2025.

²KPMG, 2023 KPMG Generative AI Survey, June 2023.

³Manufacturing Leadership Council, The Future Of Industrial AI In Manufacturing, June 2023.

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