As another high-profile cyber-attack makes the news, many of us guiltily breathe a quick sigh of relief that it’s not us.

Most of us know the frustration of going to the supermarket and finding the exact ingredient you need is out of stock.

Encouraging the adoption of technology to improve outputs, quality and efficiencies often bring with it questions of where operators fit in current manufacturing technology trends.

Food and beverage manufacturing operations are facing greater competition on a global scale, along with changing customer preferences.

Every process manufacturer knows, it takes a lot of data to feel like you’ve got a grasp on the production outcomes at your operation. That means for plant-based analytics past, present, and future, what’s become essential is flexible and reliable time-series data storage.

Determining appropriate inventory levels is one of the most important and most challenging tasks faced by supply chain managers. If you carry too much inventory, you tie up money in working capital and risk writing off perishable goods; if you don’t carry enough inventory, you face stockouts.

Much like any journey, overcoming barriers is a part of the pathway to digital transformation. Digital transformation touches on many areas of an organisation, and is particularly important for those organisations with a large number of employees.

There’s a lot of talk about Industrial Internet of Things (IIoT). But how do manufacturers turn the buzzword into a real business advantage? By using the data-based technology to improve asset utilisation.

Manufacturing high-quality products at minimum cost is the goal for most companies. Industry 4.0 initiatives promise to get us closer to this dream than ever before. Despite being in varying stages of implementing a digital strategy and digitising operations, many in the manufacturing industry are seeing the huge opportunities these initiatives offer. One of the most talked about initiatives is artificial intelligence (AI).