Artificial Intelligence & the future of Manufacturing!

AI in Factories

With today's incredibly tight market deadlines and the enormous burden of products, manufacturers are finding it challenging to maintain high quality on agreed upon norms and laws. Artificial intelligence in production could help factories produce higher-quality goods.

Without a doubt, AI will be crucial to the manufacturing sector's continued development and prosperity in the years to come. Nearly half of manufacturers ranked AI as extremely important in their factories over the next five years because of its potential to help with issues like decision making and information overload. With the use of AI, manufacturing companies can entirely revamp their methods.

?WHAT’S THE IMPACT HERE?

Plant equipment and machinery maintenance is the single largest expense in the manufacturing sector. And every year, unexpected breakdowns in production cost businesses billions of dollars in lost time and resources. Predictive maintenance supported by cutting-edge AI is helping manufacturers cut down on these expenses.

APPLICATIONS

Different applications of artificial intelligence are now being tested in the industrial industry such as:

Neural Networks: Information is fed into a neural network at the input layer. A hidden layer receives the input, calculates an output, and then sends it on to the output layer. For instance, a recently developed neural network can analyze satellite photos to determine the heights of individual trees.

Machine Learning: A method of artificial intelligence in which a computer programme uses the knowledge it has gained from training data to make judgments and recognise patterns in data taken from the real world.

Deep Learning: A machine learning method that, like a neural network, is inspired by the workings of the human brain, but in which data is instead transmitted from one layer to the next to undergo additional processing.

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RISK OF JOB LOSS

As robots gradually replace humans in millions of tasks, humans can train for higher-level positions in computer programming, design, and maintenance. During this epoch, when robots entered the factory floor alongside human workers, human-robot integration would have to be swift and secure, and artificial intelligence might be able to provide for this demand.

WHAT’S IN STORE FOR THE FUTURE

Future impacts of AI on industry are difficult to foresee but are already being felt. IoT and AI for better manufacturing, and AI for better computer vision, are two exciting new trends on the horizon.

Pharmaceutical, automotive, food and beverage, and energy and power manufacturers are just some of the many that have already incorporated artificial intelligence. Increasing venture capital expenditures, expanding demand for automation, and swift industry shifts are all factors driving the global market for AI in manufacturing.

?There is a growing demand for hardware platforms and high-performance computer processors to run a wide range of AI software, which is projected to drive the global artificial intelligence in the manufacturing market. One more way in which artificial intelligence (AI) in manufacturing helps is in gathering and analyzing massive amounts of data.

?That's why it's so common in areas like machinery inspection, cybersecurity, quality control, and predictive analytics in the manufacturing sector. These factors are expected to propel the global AI in the manufacturing sector.

?SO WHAT’S THE TAKE AWAY HERE?

Inevitably, the industry 4.0 shift will lead to the development of artificial intelligence (AI), which is only automation on a higher technological level. Here are some key takeaways as we wrap up this read:

1. Industry 4.0 could help improve the quality of manufactured goods while reducing their cost, and it could also be valuable in the process of ideation. However, humans cannot be replicated!
2. Job pov: Artificial intelligence (AI) won't put humans out of business, but it will relieve us from mundane, repetitive activities so that we can focus on more strategic ones and Workplace productivity will increase due to AI.
3. Quality improvement: The use of AI for quality control in production allows for the establishment of optimum working conditions. It can automatically detect the critical factors under these circumstances by examining a wide range of production data. In this way, both product flaws and waste are reduced.