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Artificial Intelligence: A Game Changer in the Manufacturing Market

Artificial Intelligence: A Game Changer in the Manufacturing Market

Artificial intelligence is a technology creating a path into machine learning technologies, evolving manufacturing processes and pattern recognition software primarily, and holds the potential to transform industries over the future period. Andrew Ng, the creator of the deep-learning Google Brain project, quotes, “AI will perform manufacturing, quality control, shorten design time, reduce materials waste, improve production reuse, perform predictive maintenance and more.” Known for the advancement of Industrial 4.0 over the years and in the future, AI is set to obliterate human jobs by aiding larger machine interactions nearer to labor interactions.

Artificial-Intelligence-in-Manufacturing-Market

Companies making Smart Adoption of AI in Manufacturing Market

Quality Assurance – AI majorly focuses on minute details and errors much precisely than the human workforce. The defects and faults in the production are immediately flagged and coordinated when integrated with a cloud-based data processing framework. Hence, AI plays utmost importance for manufacturing products like circuit boards & microchips, utilizing ‘machine vision’ and high-resolution cameras.

Maintenance – Machine learning is a vital component of AI and Azure Machine Learning empowers AI to build, test, and attain predictive analysis solutions on the data. For instance, smart factories operated by LG are adopting Azure Machine Learning to identify and anticipate defects in the machinery to prevent any faulty incidents. This leads to predictive maintenance, which can lessen unexpected delays.

Efficient and Reliable Design – Artificial intelligence is also altering the method of designing products. The technique is called ‘generative design software,’ which incorporates data describing restrictions and different parameters, namely, suitable production methods, material types, budget limitations, and time constraints. ‘Airbus’ is one of the companies using this tool to obtain thousands of component designs in a short time. AI giant ‘Autodesk’ shrinks the time taken for manufacturers to examine new ideas.

Reduced Environmental Impact – Adoption of AI reduces the environmental impact in production and ensures safety in the risky zones of manufacturing units. For example, Siemens outfits its gas turbines with hundreds of sensors, enabled with an AI-based data processing system, which adjusts the fuel valves to reduce the emissions as much as possible.

Integration – Azure’s Cognitive Service is a cloud-based machine learning system that streamlines manufacturers’ communications between their branches. Data received in one production line can be coordinated or shared with other departments in order to automate material provision, maintenance, and other manual undertakings.

Harnessing Useful Data – Hitachi pays close attention to the productivity and output of its units implementing AI methods. The previously unused data is collected and processed by AI into insights that usually consumed time to analyze in the past years.

Post-Production Support – Kone, an elevator and escalator manufacturer company, is utilizing AI-enabled ‘24/7 Connected Services’ to monitor the usage of its products as well as update clients about the use. This aids them in detecting defects in the process but also shows clients in what ways their products are being adopted.


Future Outlook

AI will impact manufacturing industries in numerous ways, which are yet not imaginable. Moreover, we can focus on a few noteworthy names, such as are Amazon Web Services, Siemens, IBM, Google AI, and Microsoft, adopting AI in the most optimum way in their businesses, yielding larger profits and efficacy in production.

IBM Cloud, Amazon Machine Learning, TensorFlow and DeepMind by Google, Google AutoML Vision, Cortana voice apps, Skype, bot payments, Azure Bot Service, Bing customized search by Microsoft are some of the AI tool examples implementing advanced algorithms to strengthen the interactions between machines and humans and innovating production.


Conclusion

AI in the manufacturing market is projected to have a profound impact as it leverages automation and the adoption of robotics. Industries will be in the position to provide greater benefits to consumers and fulfill their demands in real-time; also, the supply chain will be incredibly efficient. Thus, artificial intelligence (AI), by its definition, seems to be an effective solution and promises to redefine the manufacturing industry.