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AI Inspection Systems: How Do They Work and What are the Benefits?

by Automation Alley | Sep 21, 2023

Summary

Artificial intelligence is changing the realm of quality control. Listen to ECI Lead Robotics Developer Brian Butters talk about quality inspection AI software.

Automation Alley

Automation Alley is a nonprofit technology business association and Digital Transformation Insight Center focused on driving the growth and success of businesses in Michigan and beyond through innovation and automation. With a global outlook and a regional focus, we foster a vibrant community of innovators, entrepreneurs, and business leaders through opportunities for collaboration and learning. Our programs and services help businesses develop the skills and expertise needed to effectively jumpstart or accelerate digital transformation. By bringing together industry, academia, and government, we aim to create a dynamic ecosystem that drives innovation and growth across Michigan.

Cosmodot’s CDOT AI Code: A Durable, No-Compromise Part Identification Solution for Industrial Traceability

by Serra Tuzcuoglu, Cosmodot | Artificial Intelligence, Automation

In every industrial process, part traceability is essential. Without knowing where and how a component was manufactured, it's nearly impossible to perform root cause analysis, manage recalls, or implement quality control. But in manufacturing environments that involve...

AI Networking: The Observability Blueprint for Modern AI Workloads

by Arista Networks | Artificial Intelligence

The AI Revolution is Here, and It’s Accelerating Enterprise adoption of AI agents and applications is scaling rapidly, powering real-time intelligence and operational efficiency. But as organizations move from experimentation to ROI-driven deployments, the networking...

AI Checklist: How Mid-market Leaders are Scaling AI Responsibly

by WIPFLI | Artificial Intelligence

AI adoption is moving quickly — but too many mid-market firms remain stuck in testing mode. To uncover what it really takes to move from experimentation to execution, Wipfli spoke with innovators including Jacob Ollman (Moltin AI at Schneider), Dr. Michael Simon...

Cosmodot’s CDOT AI Code: A Durable, No-Compromise Part Identification Solution for Industrial Traceability

by Serra Tuzcuoglu, Cosmodot | Artificial Intelligence, Automation

Learn how CDOT AI Code’s durable part identification works even in the most complex production environments, and explore how high data capacity and resilient marking come together to reduce scrap, ensure part-level quality, and bring clarity to the harshest industrial processes.

AI Networking: The Observability Blueprint for Modern AI Workloads

by Arista Networks | Artificial Intelligence

As enterprises scale AI workloads, they must build a high-performance network with integrated 360° observability and security to ensure that GPU clusters aren’t stalled by unseen bottlenecks or misconfigurations.

AI Checklist: How Mid-market Leaders are Scaling AI Responsibly

by WIPFLI | Artificial Intelligence

Here’s an essential checklist for mid-market businesses to shift from AI experimentation to real impact — focusing on data readiness, cultural change, pilot wins, secure governance, and intentional leadership.

AI Inspection Systems: How Do They Work and What are the Benefits?

More

Cosmodot’s CDOT AI Code: A Durable, No-Compromise Part Identification Solution for Industrial Traceability

AI Networking: The Observability Blueprint for Modern AI Workloads

AI Checklist: How Mid-market Leaders are Scaling AI Responsibly

Related

Cosmodot’s CDOT AI Code: A Durable, No-Compromise Part Identification Solution for Industrial Traceability

AI Networking: The Observability Blueprint for Modern AI Workloads

AI Checklist: How Mid-market Leaders are Scaling AI Responsibly

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