Most respondents think it will take, on average, eight years for industry to realize the potential of digital transformation.<\/p>\n
One manufacturing CFO respondent said: \u201cI think we\u2019re still on the precipice of technological transformation and I think there will be additional tools within 5-10 years that will be astounding and compelling.\u201d<\/p>\n
Reasons cited by respondents for lack of a developed plan around IIoT include the need for organization change, with accessible data playing a key role in the process. More specifically, 66 percent said data analysts will need to be integrated into all departments; 61 percent said IT will need to be part of the central operating functions of company; 46 percent said a chief data officer will need to be created to manage the transformation; and 28 percent said existing silos created by data gatekeepers will need to be removed.<\/p>\n
Beyond organizational change, respondents noted that, in addition to the importance of company-wide connectivity for IIoT, 22 percent see a need for an IIoT ready industrial platform to complete the transformation to being a digital company, while 14 percent cite the need for both big data analytics and enterprise IIoT apps.<\/p>\n
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In terms of personnel skills needed most to help companies make the digital transformation, respondents cited:<\/p>\n
* Better understanding of digital interfaces and processes;<\/p>\n
* Increased understanding of artificial intelligence and machine learning;<\/p>\n
* Increased ability to read technical data; and<\/p>\n
* Increased ability to think critically about computer generated output.<\/p>\n
As for technological expertise, respondents noted the need for specific knowledge of:<\/p>\n
* IIoT and IoT concepts;<\/p>\n
* Big Data;<\/p>\n
* cloud computing;<\/p>\n
* edge computing; and<\/p>\n
* machine learning.<\/p>\n
Respondents from both the IT and operations sides of the business said that, though they and their peers are ready for the digital transformation, daily tasks block their progress. They also noted that, while they believe companies are responsible for transforming the workforce\u2014more so than the government, academia or overall industry\u2014they think that those at the top of their business are the least ready to transform. This is likely the reason why daily task expectations continue to block the way of IT and operations\u2019 ability enact any significant level of digital transformation.<\/p>\n
Then there are, of course, the obvious financial constraints hindering industrial progress toward IIoT. \u201cWe want to become more efficient but we don\u2019t have a lot of money to invest into becoming more efficient,\u201d said one respondent. The biggest constraints slowing manufacturing\u2019s transition include legacy systems, operating costs and investment costs. Each of these constraints were noted by roughly a third of respondents.<\/p>\n
Summing up the data-based zeitgeist of the study, one CFO respondent said: \u201cEveryone\u2019s job is going to change a little bit. I think that\u2019s just the natural evolution… Drillers will have to use data differently and make decisions less based on gut instinct and history, and more based on what the data is telling them. So, you\u2019re going to have some retooling and some retraining, particularly at the operator level. People in the field will have to rely more on data and less on their wisdom.\u201d<\/p>\n
At the Minds + Machines event in late October, Flannery stated that GE remains \u201call-in in terms of digital.\u201d We\u2019ll see how that translates into available technologies and services from GE once the dust settles around the company\u2019s reorganization.<\/p>\n
<\/p>\n
Source : https:\/\/www.automationworld.com\/state-digital-gap<\/p>\n","protected":false},"excerpt":{"rendered":"
While interest in digital manufacturing remains high and concrete steps […]<\/p>\n","protected":false},"author":1,"featured_media":857,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[13,9],"tags":[],"yoast_head":"\n