Process engineering expert Krishna Valluru transforms operational chaos into data-driven efficiency by fixing broken workflows and establishing data integrity.

As you explore how to create new opportunities with AI, it’s crucial to first take a close look at your data architecture.

The challenges posed by the modern economic and business climate mean that companies must be ready to cope with change. Change can affect business strategy, operations, marketing, technology and more.

Asset data is crucial in the power generation industry. Without it, utilities are forced to speculate about how long their assets will last, when they will need repair, and which strategies will ...

Collecting and Processing data involves clearly defining “Who or what” you will study or evaluate and “When” you will do so. You should consider the demographic characteristics of your study ...

There are many tools on the market for historizing process data. These tools typically treat each point of data individually when historizing, which works great for trend screens and instrumentation ...

At one time, process historians were simply software packages used to store and present real-time process data. Today, however, historians are being used to do much more. Process historians are being ...

A data filter is a device, algorithm, or process that removes some unwanted components or features from a data signal. The unwanted component may be random noise (perhaps from mixing turbulence or ...

AES-256 remains the gold standard for high-stakes data encryption. While other, more lightweight and less-energy-intensive encryption methods do exist, they operate with multiple trade-offs in ...