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

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

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.

6 Ways Machine Learning is Revolutionizing Manufacturing in 2019

The proven impact of machine learning models has pushed more investment toward their development. Still there are plenty more gains to be realized.

How Adopting Machine Learning Will Redefine The Future Of ERP System?

Every great business has well thought of goals and strategies for the future. Thanks to the AI in your ERP (Enterprise Resource Planning) systems) it will help your users identify "next best actions"

3 Revolutionary Advances in IoT Machine Learning

Manuel Nau for IoT Business News: Oracle is taking the IoT to a new level with the announcement that its IoT cloud service will now incorporate artificial intelligence and machine learning to provide clients with better business data insights than ever.

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