The industries sector is progressively increasing utilization of IoT technology to make the industrial processes automated in a very intelligent way. This can be done by enabling the interaction of the different parts of the supply chain by means of a bi-directional control system which is able to learn during the execution of the production cycle, thus progressively increasing the effectiveness of the process itself:
“Cognitive computing refers to next-generation information systems that understand, reason, learn and interact. These systems do this by continually building knowledge and learning, understanding natural language, and reasoning and interacting more naturally with human beings than traditional programmable systems.” (Source: ibm.com)
Many large companies are interested in the utilization of Artificial Intelligence AI (see Figure 1) as stated in a report from IBM about “The artificial intelligence effect on industrial products”:
“How can enterprises capitalize on new AI capabilities? To help answer this question, we analyzed the survey responses and identified a small group of industrial products outperformers, consisting of 12 percent of our study. This group self-reported that it significantly outperformed revenue compared to competitors over the past three years, and was significantly more efficient and profitable. What do these outperformers do differently? They use data to glean insight, and are confident their organizations are ready for an AI future. Over seven out of ten of these leaders strongly agree that their organization is ready to adopt AI, compared to two out of ten of all other respondents. Given the potential benefits, not surprisingly, a number of industrial products outperformers have already begun to adopt AI – nearly two thirds (64 percent) versus only 32 percent of all others surveyed. Industrial products outperformers seem likely to continue outperforming their peers since they plan to invest earlier and more heavily in AI capabilities that can improve speed and depth of insight. Sixty-five percent of outperformers said they will invest in AI within three years versus 47 percent of all others. In addition, 73 percent of industry outperformers said they will dedicate over 10 percent of their IT spend in three years on AI, compared to 43 percent of all others.” (Source: ibm.com)
The asset maintenance is being redefined nowadays by the IoT technology
The digital transformation trend is enhanced by the announcement of the collaboration of STMicroelectronics and Air Liquide, to begin the digital transformation of industry (see Figure 2):
“Air Liquide and STMicroelectronics (ST) intend to engage in a collaborative initiative to accelerate the development of digital solutions for industrial applications. Through this initiative, ST anticipates supporting Air Liquide in its digital transformation, providing guidance and solutions, while Air Liquide anticipates working with ST in developing technologies and solutions for industrial applications.
The parties anticipate collaborating to identify cases where ST’s technologies would best fit industrial and logistics needs, and then prototype the selected digital solutions and test them in Air Liquide’s operating environments. By creating a fertile ground of exchange among experts and adopting a collaborative approach, Air Liquide and ST intend to accelerate digital innovation of industrial use-cases.” (Source: gasworld)
The utilization of electronics technology is the key factor to the success of the smart industries approach (Source: YouTube)
What do you think of the smart industries concept? Does this approach represent the best solution for industries of the future, in your opinion?