The Library of Machine Malfunctions and Changing the Factory-Worker Relationship
The goal from day one was clear: build the definitive source of industrial reliability knowledge, and open it up to empower teams everywhere to shift from reactive troubleshooting to proactive control.
The Evolution of MQTT: Empowering Industrial Automation for 25 Years and Beyond
In manufacturing and industrial automation, the evolution of communication protocols has been pivotal in shaping operational efficiency, predictive maintenance, and overall innovation. Among these, MQTT stands as a beacon of connectivity
4 tips for developing predictive analytics in manufacturing
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The emergence of predictive analytics in manufacturing helps enterprises make data-driven decisions and stay ahead of the competition using more precise forecasting.
The Earth's environment is in code-red status, but new digital solutions can meet the challenge.
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Plant controller systems based on static models are not responsive enough to adapt to changes and prescribe actions to insure optimal outcomes. As a result, set points are adjusted every now and then by operators who hunt for good conditions.
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.
Variability Reduction: Why Important To Manufacturers?
A routine issue faced by most manufacturers is their process variation. Variability in the process can wreak havoc on product quality and customer satisfaction. Also, it has a severe impact on revenue, cost, and margins.
How Does the New Generation Memory - DDR5 - Change Things?
With more and more data comes the need for storage and fast access which means that technology like DDR5 has never been more important.
How Manufacturers are Leveraging New Technology to Meet Customer Demands
AI-guided selling enables analytics to move from descriptive to predictive and prescriptive analytics. The process uses customer and sales data for a scientific, data-driven approach to understand buyer processes and behaviors.
Quality 4.0 Takes More Than Technology
According to a recent report from Boston Consulting Group (BCG), "Quality 4.0 Takes More Than Technology," nearly two-thirds of manufacturers believe that Quality 4.0 will significantly affect their operation within five years.
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.
Could Predictive Analytics Help Tesla Drop the Cost of the Battery Pack to $100 per kWh?
The battery pack cost of $100/kWh is a primary target for Tesla. To achieve this, the company must solve one of the world's most demanding technology challenges - and it is how to increase the volumetric energy density of battery cells while slashing production costs.
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