Industry 4.0

[vc_row][vc_column width="1/2"][vc_column_text]“Prevention is better than cure” can be rephrased in the purview of data science as “Prediction is better than cure”. Building models with historical data using ML (Machine Learning) algorithms play a key role to predict the future instance. In 15th century, lived a man named Leonardo di ser Piero da Vinci, who possessed unlimited, standing to all areas of human knowledge and skill –...

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[vc_row][vc_column][vc_single_image image="11781" img_size="full"][vc_empty_space height="16px"][vc_column_text]In industrial sector, every operations work on predefined schedules which is called as shift. A project planning often considers the shift information and decide the phases of projects and its completion time. The shift timings generally cover production time, break time, scheduled maintenance time etc. In smart factory manufacturing system, it connects all the aspects of industry which leads to fully connected...

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[vc_row][vc_column width="1/2"][vc_column_text]Data cleansing in a key process in data science. It remove major errors and inconsistencies that are inevitable when multiple sources of data are getting pulled into one dataset. And it map the different functions and what your data is intended to do and where it is coming from your data.[/vc_column_text][vc_column_text]As the name “Rambo” sounds, one thing that suddenly comes to our mind is...

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[vc_row][vc_column][vc_column_text]Right now, 15% of manufacturers are invested in IIoT / Industry 4.0 Technology. They are mainly large production and process facilities with large amounts of automation. In the next five years, that 15% is expected to grow to 65%. Experts say those who most quickly exploit IIoT / Industry 4.0 technology will receive the greatest benefit in their manufacturing operations and OEM product service. But...

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[vc_row][vc_column width="1/2"][vc_column_text]The Industrial Internet of Things (IIoT) is getting a lot of attention from the industrial sector, particularly with Original Equipment Manufacturers. IIoT helps OEM in converting regular product into smart connected product with disruptive business models like product as a service. Which gives a competitive advantage in the market. Sensors and edge devices are the backbone of every smart connected products. The suitable sensor for...

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[vc_row][vc_column][vc_column_text]Industrial Internet of Things (IIoT) has the primary objective to improve operational efficiency and digitize processes in industries. This will also help in streamlining and optimizing business processes, systems and devices especially the OEM product service and customer experience . There are currently over billions smartphone users in the world and the market analysis shows that the smartphone users will increase considerably in the years to come. IIoT solutions with...

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[vc_row][vc_column width="1/2"][vc_column_text]The dawn of analytical approach starts with the data we are dealing and how we are going to do pre-processing to convert raw data into information, especially valuable information for the expected goal to be predicted or prescribed. We hope everyone watched Batman Vs Superman, similar kind is how we face problems in data science world? Really, yes… There is always a fight in the initial...

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