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Steel

After a Disappointing Digital Rollout: Four Things Steel Mills Do Differently Next Time

Proven digital transformation in steelmaking isn’t about hype — it’s about how you deploy. In this article, we analyze why around 70% of digital projects underperform and detail how mills that rebound do so by redefining their approach: precise problem definition, minimal scope, workflow-aligned integration, and rigorous tech evaluation. If a past deployment failed at your mill, learn the practical criteria and steps other operations used to turn the next one into a success.

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Fero Labs

Carnegie Mellon University’s CISR Partners with Fero Labs to Shape the Next Generation of AI-Driven Steel Innovators

Carnegie Mellon University’s CISR and Fero Labs announce a partnership bringing explainable AI, real industrial datasets, and mill-ready decision tools into CMU’s steelmaking research curriculum — preparing metallurgists and process engineers to drive efficiency, sustainability, and the future of steel production.

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Digitalization

Why Some Digital Projects Fail to Deliver - and How to Ensure Yours Succeed

Steel and chemical operations are proving that AI and digital transformation can work. See how explainable machine learning and focused deployment help rebuild trust and deliver real results in production.

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Fero Labs

SIJ Group Partners with Fero Labs to Accelerate Profitable Sustainability in Green Steelmaking

SIJ Group has partnered with Fero Labs to accelerate its progress towards sustainable, high-performance steel production using explainable AI.

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After a Disappointing Digital Rollout: Four Things Steel Mills Do Differently Next Time

After a Disappointing Digital Rollout: Four Things Steel Mills Do Differently Next Time

Why Some Digital Projects Fail to Deliver - and How to Ensure Yours Succeed

Why Some Digital Projects Fail to Deliver - and How to Ensure Yours Succeed

This is Where Your Steel Mill Is Bleeding >$1.5M Annually

This is Where Your Steel Mill Is Bleeding >$1.5M Annually

Linear vs. Non-Linear Regression in Steel: Why In-House Linear Models Leave Money on the Table (How Fero Labs Closes the Gap)

Linear vs. Non-Linear Regression in Steel: Why In-House Linear Models Leave Money on the Table (How Fero Labs Closes the Gap)

Good Moves Don't Come From Thinking Too Long

Good Moves Don't Come From Thinking Too Long

Data-Driven Decisions: How ML Outpaces APC in Modern Manufacturing

Data-Driven Decisions: How ML Outpaces APC in Modern Manufacturing

Industrial AI: Your Buyer's Guide to Smarter Manufacturing Decisions

Industrial AI: Your Buyer's Guide to Smarter Manufacturing Decisions

Fero Labs and Gerdau Win Prestigious AISTech Award for Advancements in Steel Manufacturing

Fero Labs and Gerdau Win Prestigious AISTech Award for Advancements in Steel Manufacturing

Should You Build an In-House Industrial Machine Learning Solution?

Should You Build an In-House Industrial Machine Learning Solution?

How to Pick the Right Use Case for Machine Learning

How to Pick the Right Use Case for Machine Learning

Drive Smarter Decision-Making With Explainable Machine Learning

Drive Smarter Decision-Making With Explainable Machine Learning

Machine Learning for Manufacturers

Machine Learning for Manufacturers

How Machine Learning Addresses Manufacturing's Skills Gap

How Machine Learning Addresses Manufacturing's Skills Gap

White-Box Machine Learning Goes Beyond Predictive Maintenance

White-Box Machine Learning Goes Beyond Predictive Maintenance

What Is White-Box Machine Learning?

What Is White-Box Machine Learning?

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