In an era marked by unprecedented connectivity and digitalization, the Internet of Things (IoT) is transforming the way manufacturers operate. Billions of devices, from smart thermostats in our homes to sensors in industrial machinery, continually collect and transmit data. This vast and ever-growing stream of data, often referred to as the “data deluge,” holds the...

In today’s manufacturing landscape, staying ahead requires more than just quality products. It demands continuous innovation, regular customer engagement and relentless pursuit of lowering costs without jeopardizing product quality. Manufacturers need to leverage their data assets and utilize analytics to achieve these goals effectively. In today’s globalized, competitive marketplace, leveraging data for innovation and business...

The integration of digital technologies into manufacturing processes led to the creation of smart factories that are more efficient, productive, and cost-effective, giving rise to what is commonly known as Industry 4.0 or the Fourth Industrial Revolution. Technologies such as artificial intelligence (AI), machine learning, big data analytics, and the Internet of Things (IoT) are...

Manufacturers generate and collect data from multiple sources such as machinery, end-user products, customers, IIoTs, transactions, business processes, and more. The phrase ‘Data is the new oil’ is commonly used, and just like the oil, data is not of much use in its ‘crude’, raw form. It needs to be stored and refined (transformed and...

The volume and variety of data collected by organizations are growing at an unprecedented rate. A 2019 survey by Matillion and IDG found that enterprises generate data from an average of 400 sources, with 20 percent of the respondents collecting data from more than 1,000 sources. With the rise in Industry 4.0 technologies, manufacturers create...