Gerdau and Fero Labs hosted joint webinar at AIST's Digital Transformation of the Steel Industy series Read more

Use machine learning to optimize your factory production

Fero is an explainable machine learning software that is powering the next wave of industrial process optimization.

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Blog

3 Ways Explainable Machine Learning Can Reduce Factory Emissions

April 20, 2021

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What Does Industry 4.0 Mean for Data Analytics?

April 12, 2021

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What Is Explainable Machine Learning?

April 7, 2021

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3 Ways Explainable Machine Learning Can Reduce Factory Emissions

April 20, 2021

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A.I. Is Making Industrial Factories Greener

April 15, 2021

Quality

Discover hidden factors that affect quality, predict flaws of future products, and optimize production. Cut production costs today and prevent headaches for tomorrow.

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Maintenance

Prevent complex machine failures, identify root causes of issues, and optimize maintenance schedules. Minimize factory downtime and improve production efficiency.

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Energy

Forecast energy usage, optimize energy consumption, and streamline factory operations. Save on energy costs and improve operational performance.

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Fero Platform

Fero offers cutting-edge machine learning in an easy-to-use web interface. Fero offers:

Powerful blueprints that target key KPIs,

Easy-to-use wizards for loading and linking data sources,

Insightful visualization tools for validation,

and much more.

Why Fero?

Actionable Machine Learning

Machine learning delivers value only when you can act on its results. What affects your bottom-line is how you operate your factories. Actionable ML equips you with the trust and insights to improve you factory operations.

Transparent Insights

Traditional machine learning works as a black box, which is hard to trust and depend on. Fero delivers clarity with white box machine learning that shows exactly how each input affects the KPI you care about.

Safe Decision Making

Predictions are not enough to make safe decisions. Fero provides confidence intervals with every prediction. This way, you know when to trust your data, or when to trust your domain expertise.