
A Run-Down on Digital Twin Standards That Promote Interoperability
The majority of digital twins being made focus on one use case. However, as digital twins are set to be adopted more in the future,

The Future of AI and Logistics
Artificial Intelligence (AI) is at the heart of advanced technology. Hence, it is no surprise that it plays a crucial role in logistics, especially in

A Step-by-Step Guide for MES Implementation
Manufacturing Execution Systems (MES) are popularly known to be the perfect solution to digitalise a factory. In other words, it is the starting step to

Role of Big Data in IoT
Since the introduction of the Internet of Things (IoT), businesses have unlocked vast amounts of data. IoT comes in various sensors that can detect temperature,

What Is Graph Analytics and What Is It Used For?
Jim Hare, an analyst from Garner, noted in one research paper published in December 2020 that “the way we have been looking at analytics is

Why Do You Need a Data Lake?
A data lake is a repository that integrates an enormous amount of structured, semi-structured and unstructured data. This means instead of being restricted to storing
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A Run-Down on Digital Twin Standards That Promote Interoperability
The majority of digital twins being made focus on one use case. However, as digital twins are set to be adopted more in the future,
The Future of AI and Logistics
Artificial Intelligence (AI) is at the heart of advanced technology. Hence, it is no surprise that it plays a crucial role in logistics, especially in
A Step-by-Step Guide for MES Implementation
Manufacturing Execution Systems (MES) are popularly known to be the perfect solution to digitalise a factory. In other words, it is the starting step to
Role of Big Data in IoT
Since the introduction of the Internet of Things (IoT), businesses have unlocked vast amounts of data. IoT comes in various sensors that can detect temperature,
What Is Graph Analytics and What Is It Used For?
Jim Hare, an analyst from Garner, noted in one research paper published in December 2020 that “the way we have been looking at analytics is
Why Do You Need a Data Lake?
A data lake is a repository that integrates an enormous amount of structured, semi-structured and unstructured data. This means instead of being restricted to storing