Price: $144.00
(as of Dec 26,2024 22:51:40 UTC – Details)
ASIN : B0CKFCWTFW
Publisher : River Publishers; 1st edition (September 11, 2023)
Publication date : September 11, 2023
Language : English
File size : 12900 KB
Simultaneous device usage : Up to 4 simultaneous devices, per publisher limits
Text-to-Speech : Not enabled
Enhanced typesetting : Not Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Format : Print Replica
Industrial Artificial Intelligence Technologies and Applications
Artificial intelligence (AI) has revolutionized the way industries operate, offering innovative solutions to complex problems and enhancing efficiency in various processes. In the industrial sector, AI technologies have been deployed to automate tasks, predict maintenance needs, optimize production schedules, and improve overall productivity.
One of the key technologies driving the adoption of AI in industries is machine learning, which enables machines to learn from data and make decisions without explicit programming. This technology is being used in predictive maintenance, where AI algorithms analyze sensor data to predict equipment failures before they occur, minimizing downtime and reducing maintenance costs.
Another important application of AI in industries is in supply chain management. AI-powered algorithms can analyze vast amounts of data to optimize inventory levels, predict demand, and improve logistics operations. This leads to reduced costs, improved customer satisfaction, and increased profitability.
In manufacturing, AI technologies such as computer vision and robotics are being used to automate tasks that were previously performed by humans. These technologies enable faster and more accurate production processes, leading to higher quality products and increased throughput.
Overall, industrial AI technologies are transforming the way industries operate, driving efficiency, innovation, and competitiveness. As companies continue to invest in AI solutions, we can expect to see even greater advancements in industrial automation and optimization in the years to come.
#Industrial #Artificial #Intelligence #Technologies #Applications
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