Predictive Quality Analytics in Manufacturing: How AI and Machine Learning are Transforming the Industry
With predictive analytics quality management, manufacturers may now identify and avoid quality issues before they arise by utilizing cutting-edge technology like AI and machine learning (ML), which has significantly improved productivity and profitability.
Strategies for Optimizing Supply Chain with Automation
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The pandemic brought supply chain to the forefront, leading companies to seek AI, analytics, and automation solutions for efficiency and meeting demand. Machine Learning predicts demand and AI/automation boosts quality and monitors events.
Why the conventional deep learning model is broken
The conventional deep learning model is a supervised model. It takes months of time to develop and train the model before it is ready for the production line.
AI & Machine Vision based Automated Weld Defect Detection for Manufacturing Industry
Purpose-built solution AI and machine vision solution on Intel® edge processors are helping manufacturers successfully adapt the defect detection technology and expand it to address broader Industry 4.0 use-cases.
AIoT and Edge Analytics: a Powerful Combination
Swedish philosopher Nick Bostrom once said, "machine intelligence is the last invention that humanity will ever need to make". AI decision making, with real time communication and data analytics, has the ability to transform the way manufacturers understand machines.
How factories Can Build Capacity and Improve Manufacturing Processes with ML
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Without making wholesale production changes, factories can improve process efficiency with machine learning (ML). ML can increase production capacity by up to 20% while lowering material consumption rates by 4%.
5 Ways Machine Learning Is Improving Manufacturing
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Artificial intelligence (AI) is one of the fastest-growing technologies in the business world today. AI is a broad umbrella, covering many specific technologies, and machine learning is one of the most promising of these.
The Impact of AI and Machine Learning Technologies in Manufacturing
New data- and ML-based business models will become more commonplace, so early adopters will have a competitive advantage. Machine learning will happen both in the cloud and on the edge, i.e., directly on or next to production machines and sensors.
Enhancing Predictive Maintenance with Machine Learning
There are a number of ways to maintain industrial machinery. If you search around, you will most likely come across these terms: preventive maintenance and predictive maintenance.
The Next Era of Automation Is Intelligence
We are entering a new manufacturing era defined by AI, machine learning and vision, enabling us to teach machines to adapt and learn plans and move us toward a true "Lot Size 1" utopia. Automation's next era will be defined not around volume, but around intelligence.
How To Improve Production With Autonomous Maintenance
Autonomous Maintenance is one of eight pillars that make up Total Productive Maintenance (TPM). It's also one of the most important activities that eventually determine the success of any TPM implementation project.
A Sustainability Process That Drives Business Value
Iota has developed a framework called the Sustainability Process Blueprint that allows businesses to easily monitor, measure, and curate data pertaining to their sustainability performance.
What Machine Learning Trends Can We Expect for Manufacturing in 2020?
Industry 4.0, or the fourth industrial revolution, has called for a merger between automated solutions and smarter, more effective operations through the application of real-time data collection.
Top Article from 2019 - What Machine Learning Can Do for Manufacturing
Machine learning and big data are both very difficult, in practically every way. The necessary data science skills are rare among industry professionals, the data volumes are immense, and the infrastructure required to work on that data is complex.
Predictive Analytics vs Machine Learning
Machine learning is a continuance of the perceptions around predictive analytics, except that the AI system is able to make assumptions, test them and learn autonomously.
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