Real-Time Considerations: Determinism Next to AI

Real-Time Considerations: Determinism Next to AI Edge AI promises intelligence near the machine, but not all workloads can tolerate latency. When...

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Generating Synthetic Defects That Transfer to Reality

Generating Synthetic Defects That Transfer to Reality Training vision AI systems often fails due to limited defect samples. Synthetic data &mdash...

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Measuring Copilot ROI: MTTR, First-Time Fix, and Training

Measuring Copilot ROI: MTTR, First-Time Fix, and Training AI copilots promise faster troubleshooting, fewer errors, and better onboarding —...

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Safety Guardrails: When Not to Trust the Copilot

Safety Guardrails: When Not to Trust the Copilot AI copilots are powerful tools — but they must know their limits. In industrial settings,...

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Audit Trails for AI Copilots: Proving Who Saw What

Audit Trails for AI Copilots: Proving Who Saw What As AI copilots enter regulated and safety-critical environments, traceability and accountabili...

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Statistical vs ML Quality Control: Choosing the Right Tool

Statistical vs ML Quality Control: Choosing the Right Tool Statistical Process Control (SPC) has been the cornerstone of manufacturing quality fo...

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Self-Calibration with AI: Reducing Manual Tweaks

Self-Calibration with AI: Reducing Manual Tweaks Industrial inspection systems depend on consistent alignment — whether it’s a camera...

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Multimodal QA: Fusing Vision, Force, and Sound

Multimodal QA: Fusing Vision, Force, and Sound Factories generate multiple streams of sensory data — visual, acoustic, and tactile. Instead...

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Generative AI for Test Coverage: Where It Fits

Generative AI for Test Coverage: Where It Fits Generative AI isn’t just for content creation — it’s redefining how factories va...

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Acoustic and Vibration AI for Process Quality

Acoustic and Vibration AI for Process Quality While vision AI dominates the discussion in automated inspection, many process deviations first rev...

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Timeline to Compliance: A Factory’s 12-Month Plan

Timeline to Compliance: A Factory’s 12-Month Plan The EU AI Act will be fully enforceable for high-risk AI systems by 2026. Manufacturers d...

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AI Governance for Factories: Policies, Logs, and Human Oversight

AI Governance for Factories: Policies, Logs, and Human Oversight The EU AI Act formalizes a concept many manufacturers have long ignored: AI gove...

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GPAI vs High-Risk in the Plant: What Applies to Your Use Case?

GPAI vs High-Risk in the Plant: What Applies to Your Use Case? The EU AI Act introduces a new category: General-Purpose AI (GPAI). For manufactur...

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Conformity Assessments for Industrial AI: Documentation That Passes

Conformity Assessments for Industrial AI: Documentation That Passes Under the EU AI Act, high-risk AI systems require a conformity assessment bef...

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EU AI Act for Manufacturing: Is Your Vision System ‘High-Risk’?

EU AI Act for Manufacturing: Is Your Vision System ‘High-Risk’? The EU Artificial Intelligence Act entered into force in 2024, introd...

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Latency Budgets for the Real World: Designing Edge AI Pipelines

Latency Budgets for the Real World: Designing Edge AI Pipelines Latency determines whether your Edge AI system is practical or just a demo. Every...

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Containerized OT: Running AI Safely Next to PLCs

Containerized OT: Running AI Safely Next to PLCs Traditionally, PLCs operated in deterministic environments while IT workloads stayed far away. B...

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Jetson, OpenVINO, or ROCm? Selecting Edge AI Hardware for Vision and Robotics

Jetson, OpenVINO, or ROCm? Selecting Edge AI Hardware for Vision and Robotics Running AI in production isn’t just about models—it&rsq...

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Build vs Buy: Choosing Edge Inference Runtimes for Harsh Environments

Build vs Buy: Choosing Edge Inference Runtimes for Harsh Environments Deploying AI at the edge often starts with a proof of concept—but pro...

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Edge AI vs Cloud AI for Manufacturing: Where Each Wins in 2025

Edge AI vs Cloud AI for Manufacturing: Where Each Wins in 2025 AI in manufacturing is no longer confined to the cloud. The rapid growth of Edge A...

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