Blog
Like many other industries, Artificial Intelligence has transformed and automated the Manufacturing domain. In manufacturing, AI enhances efficiency, accuracy, adaptability, and productivity across multiple processes by optimizing them. From predictive maintenance to generative AI applications, Artificial Intelligence is helping manufacturers gain a competitive edge. In this blog, we explore how AI is changing the Manufacturing industry and Generative AI use cases influences it.
At WeCloudData, we provide industry-leading training in AI and data science, helping professionals and businesses use the power of AI for real-world applications, including manufacturing.
Artificial Intelligence sub-domains like Machine Learning, Natural Language Processing, and Computer Vision play significant roles in improving multiple aspects of the production process. Artificial intelligence works on data and the manufacturing industry generates huge volumes of data. The data from production lines and sensors are analyzed to improve quality, optimize efficiency, and reduce the downtimes of the process. AI can predict potential issues or failures by identifying patterns in data, hence reducing maintenance costs and downtimes.
The global AI in manufacturing market is valued at [$3.2 billion in 2023 and is poised to grow to $20.8 billion by 2028] Here are the major use cases of AI in manufacturing.
AI facilitates human-robot collaboration. Cobots or Collaborative robots are designed to work alongside humans automating repetitive and physically demanding tasks improving precision and efficiency. Amazon has over 750,000 robots in its operations including Sequoia which can identify and store inventory at fulfillment centers. It improves shipping predictability and increases the number of products that can be offered for same-day or next-day shipping.
Autonomous vehicles are another very bright application of AI in the manufacturing industry. They have predictive technology in their system powered by Artificial intelligence. Computer Vision is also used in the operation of autonomous vehicles for object detection and making real-time decisions all thanks to AI. Tesla is spending $500 million to install a Dojo supercomputer at its Riverbend Gigafactory in Buffalo, New York, to train their autonomous driving AI systems.
AI can find inconsistencies and faults by analyzing data hence has a very dominant application in the quality control department across manufacturing. Computer vision is used to analyze the images of products during the manufacturing process highlighting faults with good accuracy compared to human inspectors as they are trained on millions of images so they are quick to pick inconsistencies.
Predictive maintenance is the best-case scenario of AI in manufacturing. By analyzing sensor data AI can predict the failure before they occur, reducing downtime and saving costs.
Predictive maintenance is applied to assembly-line robots by Automobile manufacturers. By using this strategy, manufacturing companies can also schedule maintenance during nonpeak hours to minimize production schedule disturbance.
The application of AI in the actual design process is growing. Artificial Intelligence is being utilized more and more to speed up product design and prototyping, whether it is for product or packaging design or for enhancing overall product effectiveness, usability, reliability, or efficiency. AI systems can analyze thousands of different alternatives and identify best desirable features while considering factors like energy consumption, cost, manufacturing feasibility, and supplier availability.
Generative AI has a big impact on the manufacturing sector. Generative AI use cases in manufacturing applications range from designing products to improving workflows and producing synthetic data for simulations. Some key applications are listed below;
By facilitating effective search and summarization, generative AI improves document management in manufacturing. AI analyzes vast amounts of documents to find trends and summarize important information rather than manually going through reports and records.
Manufacturing companies use generative Artificial Intelligence in computer-aided design (CAD) to create innovative product designs with improved performance and reduced material usage, minimizing the time complexity.
When consumers are unsure about the actual names or codes of products, generative AI like ChatGPT can assist them. Gen AI tools can assist customers in finding products and writing queries just by understanding the limited knowledge customers have about the product like desired features. These tools can also generate detailed product descriptions enhancing search accuracy through semantic understanding.
Generative AI use cases in manufacturing has the potential to provide the manufacturing industry with far-reaching advantages beyond the use cases mentioned above. Some of the key benefits AI offers in the Manufacturing sector include:
To successfully adopt AI, companies must invest in the right tools, training, and consulting services. If you’re looking to implement AI in your manufacturing processes, consider partnering with AI experts or enrolling in WeCloudData’s AI courses to gain the skills needed to stay ahead in the industry.
Whether you’re a beginner or a professional, learning AI is more accessible than ever, WeCloudData provides hands-on learning experiences, making complex AI and Data Science concepts easy to understand. What we offer;
AI Courses: Gain hands-on experience and foundational knowledge through our expert-led AI courses in Tronoto or looking for Data and AI Training for your company do not hesitate to reach out.
AI consultant: If you are looking for an AI consultant, do not hesitate to reach out.
Public training sessions with expert instructors.
Portfolio support to build projects that stand out.
Career services to help you land your dream job.
Join WeCloudData to kickstart your learning journey and unlock new career opportunities in this Artificial Intelligence.
"*" indicates required fields
WeCloudData is the leading data science and AI academy. Our blended learning courses have helped thousands of learners and many enterprises make successful leaps in their data journeys.
"*" indicates required fields
Canada:
180 Bloor St W #1003
Toronto, ON, Canada M5S 2V6
US:
16192 Coastal Hwy
Lewes, DE 19958, USA
