The research that surrounds Artificial Intelligence (AI) is plentiful and varied. There are reports from Gartner that highlight how it is critical for an organisation to build foundations for AI and Machine Learning to ensure it is futureproofed. PWC\u2019s research talks about the human factor and the jobs that these technologies will create or remove as they move into the manufacturing sector. Regardless of these reports, there is one fact that remains true \u2013 every industrial organisation should be preparing for the influx of AI and the emergent technologies that walk alongside it.<\/p>\n
\u201cConnected intelligence and 5G are set to profoundly impact how the industrial sector handles manufacturing and quality control processes,\u201d said Henrique Vale, Software, GBC MEA, Nokia.<\/p>\n
\u201cAI, Machine Learning, Robot Process Automation (RPA), enhanced connectivity \u2013 each of these technologies are evolving and adapting to fit different use cases and industrial requirements. Their abilities and potential are constantly changing to meet market needs and demands.\u201d<\/p>\n
The industrial sector has long battled with legacy challenges around quality control. Not only is it an expensive process that\u2019s time consuming and demanding, but it is one that\u2019s prone to error. Human beings can only handle so much repetitive work before they lose focus and accuracy. AI-powered quality control systems, on the other hand, can keep on going 24\/7 without getting bored or tired. Their ability to repeat, rinse and repeat, is what gives the industrial sector a much-needed edge in ensuring ongoing quality control.<\/p>\n
\u201cThis doesn\u2019t mean that the human factor should be removed,\u201d added Vale.<\/p>\n
\u201cOn the contrary, people are critical to oversee, manage and maintain \u2013 taking on roles that demand far more than the repetitive quality control tasks of the past. A great example would be the Rubik\u2019s cube \u2013 the system takes the cube and follows specific steps to achieve a specific pattern, the system tracks the patterns and alerts the operator if anything is incorrect, they then redress any issues in configuration to ensure that it doesn\u2019t happen again. A perfect mix of man and machine.\u201d<\/p>\n
As quality control standards, compliance requirements, and regulatory demands become increasingly complex and challenging, intelligent systems can fundamentally change how the sector reacts to these changes. AI never sleeps, it can learn, it can adapt, and it can be controlled to deliver extraordinarily precise results within extremely precise boundaries. It is programmable, targeted and exact. All factors that play an increasingly important role in the long-term success of a business.<\/p>\n
\u201cQuality control is more than just a process, it\u2019s a definitive competitive factor,\u201d said Vale.<\/p>\n
\u201cIf a company\u2019s quality control processes aren\u2019t capable of reducing errors or can\u2019t keep up with the proverbial Jones\u2019, then they are likely to lose customers to those that can. The same applies to its ability to measure quality and non-quality and thereby ensure that products are aligned with both internal and external compliance controls.\u201d<\/p>\n
In 2017, Infosys published a report entitled Manufacturing sector transforming with AI, automation<\/em> that showed how a significant portion of the manufacturing industry had automation down as their first priority. Most (61%) were investing into automation to reduce errors, while 59% wanted to reduce costs and 50% wanted to take people away from repetitive tasks and instead use them for roles that benefited from human interaction.<\/p>\n While the technology is still in the early stages of its potential, it still offers the industry a remarkably strong platform from which to build integrated and efficient quality control solutions. Ultimately, as connectivity improves and systems given increased capacity for connected communication and collaboration, AI and automation will transform process capability and efficiency.<\/p>\n \u201cWith AI and 5G, the industrial sector is on the cusp of a transformational change that will not just impact infrastructure but cost, quality control, and growth,\u201d said Vale.<\/p>\n \u201cThe time for deciding if the business should invest into AI and cutting-edge connectivity has passed, now it is about deciding where.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":" The research that surrounds Artificial Intelligence (AI) is plentiful and varied. There are reports from Gartner that highlight how it is critical for an organisation to build foundations for AI and Machine Learning to ensure it is futureproofed. PWC\u2019s research talks about the human factor and the jobs that these technologies will create or remove […]<\/p>\n","protected":false},"author":25,"featured_media":38639,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[5307,137,6,4115,106,38,3629,332,389,13,79],"tags":[390,3211,3355,637,202,9533,6800,5838,3430,302,1296,2944],"class_list":["post-38633","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-analysis","category-blog","category-insights","category-intelligent-technology-newsletter","category-mobile","category-networking","category-newsletter","category-software","category-telecom","category-top-stories","category-used","tag-5g","tag-ai","tag-artificial-intelligence","tag-automation","tag-gartner","tag-gbc","tag-henrique-vale","tag-infosys","tag-machine-learning","tag-mea","tag-nokia","tag-pwc"],"acf":[],"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/www.intelligentcio.com\/me\/wp-json\/wp\/v2\/posts\/38633","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.intelligentcio.com\/me\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.intelligentcio.com\/me\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.intelligentcio.com\/me\/wp-json\/wp\/v2\/users\/25"}],"replies":[{"embeddable":true,"href":"https:\/\/www.intelligentcio.com\/me\/wp-json\/wp\/v2\/comments?post=38633"}],"version-history":[{"count":7,"href":"https:\/\/www.intelligentcio.com\/me\/wp-json\/wp\/v2\/posts\/38633\/revisions"}],"predecessor-version":[{"id":38736,"href":"https:\/\/www.intelligentcio.com\/me\/wp-json\/wp\/v2\/posts\/38633\/revisions\/38736"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.intelligentcio.com\/me\/wp-json\/wp\/v2\/media\/38639"}],"wp:attachment":[{"href":"https:\/\/www.intelligentcio.com\/me\/wp-json\/wp\/v2\/media?parent=38633"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.intelligentcio.com\/me\/wp-json\/wp\/v2\/categories?post=38633"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.intelligentcio.com\/me\/wp-json\/wp\/v2\/tags?post=38633"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}