IoT and 4.0 Industry
Technology has invaded the most diverse sectors: in everyday life we refer to Google for any doubt, we control appliances through mobile app and receive information from our cars connected to the internet while we drive. Even in the industrial world, we are increasingly pushing towards the use of technology with the primary objective of optimizing production and therefore reducing waste. The set of processes that determine a connection between manufacturing production and data is Industry 4.0.
These technologies, through the interconnection of machinery and plants, personnel and production environments inside or outside the factories, will provide a series of data that can be used to obtain a series of advantages, previously impractical. Starting, for example, from an increase in efficiency in production processes and to pave the way for the development of new competitive advantages, for example in terms of time to market and production costs.
The technology that makes these connections possible is the Internet of Things, that is, the set of objects that communicate with each other through networks.
With the increase in opportunities, however, the complexity and volumes of data also increase.
The recent data provided by the Industry 4.0 Observatory of the School of Management of the Polytechnic of Milan estimate the turnover generated in 2017 by Industry 4.0 2.4 billion, an increase of 30% compared to the previous year, while World level analysts of Markets & Markets estimate estimates of $ 152.31 billion by 2022. The Italian market, albeit on the rise, has a turnover that is slightly more than one billion euros.
Developing a process to transform data into usable information is a key part of the success of IoT and Big Data. Companies need to think about the quality of the data they are inserting and designing their systems to optimize this process. With the continued growth of connected devices, organizations will have more opportunities to use them to gather useful and relevant data that can improve their processes to really start transforming.
Technology has invaded the most diverse sectors: in everyday life we refer to Google for any doubt, we control appliances through mobile app and receive information from our cars connected to the internet while we drive. Even in the industrial world, we are increasingly pushing towards the use of technology with the primary objective of optimizing production and therefore reducing waste. The set of processes that determine a connection between manufacturing production and data is Industry 4.0.
These technologies, through the interconnection of machinery and plants, personnel and production environments inside or outside the factories, will provide a series of data that can be used to obtain a series of advantages, previously impractical. Starting, for example, from an increase in efficiency in production processes and to pave the way for the development of new competitive advantages, for example in terms of time to market and production costs.
The technology that makes these connections possible is the Internet of Things, that is, the set of objects that communicate with each other through networks.
With the increase in opportunities, however, the complexity and volumes of data also increase.
The recent data provided by the Industry 4.0 Observatory of the School of Management of the Polytechnic of Milan estimate the turnover generated in 2017 by Industry 4.0 2.4 billion, an increase of 30% compared to the previous year, while World level analysts of Markets & Markets estimate estimates of $ 152.31 billion by 2022. The Italian market, albeit on the rise, has a turnover that is slightly more than one billion euros.
Developing a process to transform data into usable information is a key part of the success of IoT and Big Data. Companies need to think about the quality of the data they are inserting and designing their systems to optimize this process. With the continued growth of connected devices, organizations will have more opportunities to use them to gather useful and relevant data that can improve their processes to really start transforming.