During this time of digital transformation, Artificial Intelligence (AI) solutions for the manufacturing industry are proving to be fundamental when it comes to streamlining processes and optimizing operations. Organizations across the world are understanding how essential digitalization strategies are to gaining competitive advantages.
AI makes use of data-driven techniques that deliver an efficient solution in a fraction of the time current standard procedures would typically take. Innovative advancements in artificial intelligence, machine learning, natural language processing, computer science, and cloud technologies are being implemented by manufacturing organizations to effortlessly tackle a variety of challenges within the industry.
“Manufacturing companies are coming to realize just how important this tool can be to create a more efficient supply chain. Recent advancements in AI and data analytics have allowed manufacturers to eliminate potential bottlenecks and improve quality management in their manufacturing cycle.” (Chemseed)
AI can provide operator guidance with expert knowledge dispersal throughout operations.
Essential knowledge is instrumental to all operations in manufacturing, especially as the industry becomes further complicated by ever-changing procedures. Currently, the industry is experiencing mass retirement of long-standing experts, making domain specialists harder to find. As the experience gap widens, AI is playing an active role in closing it by distributing knowledge and flattening training curves within entire manufacturing operations.
AI not only helps with knowledge distribution, but it vastly improves predictive maintenance to prevent downtown in operations and is proficiently decreasing processing time by up to 90%, effectively improving the efficiency of an entire manufacturing operation in just minutes.
Datch (Datch.io), a US/NZ based technology company is no stranger to the wide variety of challenges that can hinder market performance, factory efficiency, and operational processes for industrial organizations. With their leading intelligent voice AI technology for manufacturing and heavy industries, they have vastly improved process bottlenecks, such as inefficient time spent on work orders, logging operational information, and solving critical problems during down time and equipment breakdowns for manufacturing companies.
By digitizing procedures using high-quality, structured expert knowledge data, Datch’s cutting-edge natural language processing (NLP) technology effectively decreases downtime while increasing productivity and revenue that is conventionally wasted on manual processes.
"We soon realized that not only do frontline workers lose considerable time on a daily basis carrying out paper-based work and manually undertaking digital processes, but only 5 percent of employee knowledge is retained in a business due to lack of available time, quality factors, and unstructured data collection.” – (Mark Fosdike via PRNewswire)
"What's exciting is that Datch does away with traditional process forms and instead uses a Natural Language Engine to give workers the freedom to conversationally capture their knowledge as soon as it's generated. Our platform lets them do this hands-free during the job without losing valuable tool time, resulting in significant productivity gains. Further to this, there are upstream advantages to capturing and structuring this knowledge data along with the play-by-play data, leading to important breakthroughs in asset-based insights." – (Mark Fosdike via PRNewswire)
As you can imagine, Artificial Intelligence is being adopted quickly and in many ways within industrial solutions across the entire value chain of the manufacturing industry. These AI solutions unlock instant opportunities to deliver against top and bottom-line objectives that steer organizations towards more advanced solutions for their complex problems.
AI is gaining serious traction amongst manufacturing leaders that are starting their digital transformation. 34% are currently investing in Artificial Intelligence, and 19% in machine learning (ML) to enhance their workforce. As this percentage continues to rise, AI implementation will soon be the most critical part for any organization’s competitive edge.
Through improved overall visibility into operations on a more global scale, process optimization and autonomously guiding through risk mitigation opportunities, AI dismantles conventionally time-consuming, high-cost and high-risk processes, from weeks down to just minutes – saving manufacturing organizations millions and effortlessly streamlining their operations. When the goal is to achieve faster time-to-market with lower process costs, along with increased visibility, improved efficiency, and a higher assertion of operational success, AI truly delivers in the manufacturing industry.
References:
· Chemceed(http://chemceed.com/industry-news/ai-technology-lubricant-manufacturing/)
· TheManufacturer (https://www.themanufacturer.com/articles/ai-transforming-manufacturing/)
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