AI and Data-Driven Manufacturing
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The Energy Cost of Mining Variability
Many operations are now looking beyond just throughput and recovery. Energy efficiency has become closely linked to operating costs, production goals, sustainability, and long-term profits. This is especially important in… -
The Future of Smart Manufacturing Relies on Better Use of Operational Data
Manufacturers today have plenty of data, but many feel overwhelmed by how much there is. Every system on the plant floor produces information. Historians store years of operational data. Dashboards… -
What the Latest OT Security Data Is Telling Manufacturers
Most OT environments were not built to handle the complexity they face today. Systems that were once isolated are now connected across operations, business systems, remote teams, vendors, and the… -
Why Food Manufacturers Are Rethinking What Digital Transformation Should Deliver
For years, digital transformation in food manufacturing meant improving visibility with dashboards, connected systems, and reporting tools. This approach worked well for a while. Manufacturers gained access to more information… -
Too Much Data. Not Enough Clarity
Improving yield in food manufacturing has been a focus for years. Most teams have approached it the same way by adding more data, more systems, and more visibility in an… -
Why Mining Circuits Don’t Respond the Same Way Twice
Ore and conditions are always changing. Most operations notice these shifts, but not many can explain them or react fast enough. Mining is designed to handle variability, but consistently managing… -
Food Manufacturers Are Changing the Way They Use Data
For years, food manufacturers have been looking for ways to improve yield in food manufacturing, often by adding more data, more systems, and more visibility. This strategy worked for some…