Articles & Insights

Engineering perspectives, product updates, and real stories from the Devworks Automation team — helping you build smarter, faster, and with more confidence.

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Recent perspectives on engineering automation, AI, DriveWorks, and digital transformation from the DevWorks Automation team.

Automation · September 14, 2022

What Is DriveWorks and Is It Right for Your Business?

DriveWorks is a design automation and Configure, Price, Quote (CPQ) solution built for manufacturers using SOLIDWORKS. It automates the creation of CAD models, engineering drawings, Bills of Materials (BOMs), quotations, and manufacturing documentation based on predefined engineering rules.

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Engineering · January 18, 2023

5 Signs Your Manufacturing Workflows Are Ready for Automation

A practical guide to recognizing when manual processes are holding your business back.

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Engineering · November 9, 2023

How AI Predicts Late Orders Before They Happen in Manufacturing

How AI-powered analytics turns raw production data iUsing predictive analytics to stop delivery problems at the source, before they reach your customernto better decisions.

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Prototyping · March 22, 2023

MRP vs ERP vs MES: What's the Difference?

Understanding the three core manufacturing software systems and why integration matters.

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Cloud · February 6, 2024

Cloud-Based Applications: A Practical Guide for Technology Leaders

A complete guide on cloud-based applications for technology leaders—when to buy, when to build, and how to keep manufacturing systems secure, scalable, and operable.

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Cloud · April 23, 2024

The Hybrid Cloud: Why It’s the Missing Piece in Your IT Strategy

Why hybrid cloud is often the missing piece in manufacturing IT strategy—balancing plant-floor reliability with cloud speed, analytics, and collaboration.

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Cloud · July 15, 2024

Managed Cloud Services: Types, Benefits, and Factors to Consider

Managed cloud service options explained—types, benefits, and the factors technology leaders should weigh before outsourcing cloud operations.

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IoT · May 11, 2023

Industrial IoT Visibility Without Boiling the Ocean

How manufacturers get useful machine and process visibility from IoT without trying to instrument the entire plant on day one.

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IoT · September 3, 2024

From Sensors to Decisions: IoT Data Operations Teams Will Trust

Turning shop-floor sensor streams into decision-ready signals—quality, ownership, and integration patterns that keep operations from ignoring the dashboard.

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IoT · December 19, 2023

IoT Security and Uptime for Connected Plants

Practical security and uptime considerations for industrial IoT—identity, network segmentation, update discipline, and designs that keep production resilient.

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Data Analytics · March 5, 2024

Manufacturing Data Silos: How They Hurt You—and How to Break Them Down

What a data silo looks like on the plant floor, why it slows decisions, and a practical path to unify ERP, quality, and operations data without a multi-year boil-the-ocean program.

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Data Analytics · June 27, 2024

Operations Analytics Dashboards Leaders Actually Trust

Why most manufacturing dashboards get ignored—and how to design analytics views that survive standups, shift changes, and month-end reviews.

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Data Analytics · August 8, 2022

Supply Chain Analytics for Manufacturers: Practical Use Cases

Types of supply chain analytics that matter for make-to-order and discrete manufacturers—benefits, use cases, and how to start without drowning in dashboards.

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AI Consulting · October 28, 2024

When Manufacturers Need AI Consulting—Not Just Another Tool

How to tell whether you need AI consulting to frame the problem and operating model—or whether buying another AI feature will only create a pilot that never sticks.

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AI Consulting · January 21, 2025

From AI Pilot to Production on the Plant Floor

A practical path from AI proof-of-concept to production use—ownership, exception handling, integration, and the go-live criteria manufacturers actually need.

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AI Consulting · April 10, 2025

AI Readiness for Manufacturers: Data, Decisions, and Risk

A practical AI readiness lens for manufacturers—decision clarity, data trust, workflow ownership, and risk controls before you scale models across the plant.

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Machine Learning · July 2, 2025

Predictive Maintenance ML That Operations Will Use

How manufacturers turn predictive maintenance models into alerts supervisors trust—data readiness, false-positive control, and integration into work orders.

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Machine Learning · September 17, 2025

MLOps for Manufacturers: From Notebook to Plant

A practical MLOps path for manufacturing teams—versioning, monitoring, ownership, and the governance needed when models influence production decisions.

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Machine Learning · November 25, 2025

Computer Vision on the Line: Quality Without the Hype

When vision-based inspection and pattern recognition help manufacturing quality—and when lighting, labels, and exception handling matter more than model choice.

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Prompt Engineering · February 10, 2026

Prompt Engineering for Manufacturing AI That Stays Reliable

How manufacturers design prompts that produce consistent, auditable answers for specs, support, and ops—without treating chat demos as production systems.

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Prompt Engineering · May 14, 2026

How to Test and Version Prompts Before Go-Live

A practical evaluation loop for enterprise prompts—golden questions, regression sets, failure modes, and version control so LLM behavior does not silently regress.

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Prompt Engineering · July 28, 2026

Grounded Prompts, RAG, and Guardrails for Engineering Teams

How to combine retrieval, prompt contracts, and guardrails so engineering and manufacturing AI answers stay tied to approved documents—not model memory.

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Manufacturing · August 6, 2026

The U.S. Manufacturing Comeback: Compete with Technology—Not Subscription Overhead

As production returns to the United States, cost pressure is real. Manufacturers that win will use automation and tailored systems—not endless SaaS seats—to run efficiently and profitably.

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