The Technology Pillars for Process Optimization in Manufacturing
By Augury, contributing writers for Iotforall.com
With more and more technological advancements, implementing an achievable process optimization plan is now plausible. However, you must first find the technologies and approaches that work best for your manufacturing operation. The key to optimizing a manufacturing process is to embrace some of the advanced Industry 4.0 technologies available today. By understanding which technology is best for your manufacturing business, you will be one step closer to optimizing your process. Let’s dive a bit deeper into what this means and into the main technology pillars of process optimization in manufacturing.
Unlocking user acquisition: How machine learning can aid mobile marketers
By Zohar Bronfman, contributing writer for Forbes.com
Mobile game and app marketers are incredibly creative and data-driven. They’re no strangers to thinking outside the box—but they also know data has to underlie every decision they make.
New study shows the potential of machine learning in the early identification of people with inflammatory arthritis
By Swansea University, contributing writers for Medicalexpress.com
A study by Swansea University has revealed how machine learning can help with the early detection of Ankylosing Spondylitis (AS) inflammatory arthritis and revolutionize how people are detected and diagnosed by their GPs.
The data of demand: Why CPG manufacturers need predictive analytics now more than ever
By Rich Wagner, contributing writer for Consumergoods.com
To say that the past few years for CPG manufacturers have been tumultuous is an understatement. Though the onset of the pandemic forced an immediate reckoning with everything from shifts in consumer demand to supply chain shortages, CPG manufacturers were often able to pass along the increased costs associated with production directly to the consumer.
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