Operational Efficiency

In today’s fast-paced technological landscape, the safety and dependability of electronic devices are paramount. Electromagnetic Compatibility (EMC) testing is essential in this regard, ensuring that electronic products adhere to stringent official standards.

Predictive maintenance aims to prevent unexpected breakdowns and expensive downtime. Thanks to new technology, generative AI (genAI) and Predictive AI can greatly improve maintenance planning, documentation, and failure prediction.

As the worn-out cliché states, data is the lubricant for business. But not just any data: the backbone of everything is master data. Without well-structured master data, industrial processes, customer relations, and finances will suffer from inefficiencies and errors. Consistent data is crucial for accurate outcomes from advanced analytics and AI-powered solutions.

In the face of the dynamic growth of the smart metering market, integrated lifecycle management of meters becomes crucial for companies facing new challenges.

In the last decade or so, the energy landscape has shifted drastically undergone significant changes, transitioning from a centralized model dominated by corporations to a decentralized one, where prosumers play pivotal role. Today, energy production has become much more complex due to the variety of different energy – generating assets – ranging from traditional, fossil-fuel-powered sources to modern renewable sources. Moreover, individual prosumers, as well as smaller enterprises, are producing energy and feeding it into the grid. How do we navigate energy management in this new paradigm?

In today’s rapidly evolving market, the urgency to release products is significant. However, hastily bringing a product to market without sufficient testing can result in severe repercussions. This article delves into the importance of product testing prior to launch and how it can save time and money.

Manufacturers often have the golden opportunity to increase sales with existing products if they could be updated to fit emerging needs. When internal research and development (R&D) efforts lean towards innovation rather than lifetime extensions for existing products, companies can easily miss potential revenue that could be made with moderate effort.

Artificial intelligence (AI) is not new in the manufacturing industry — many companies have been leveraging AI and machine learning for over two decades. Now, generative AI promises to do even more, which has piqued the interest in industrial research and development (R&D).

The rapid evolution of technology, intricate systems, and soaring customer demands present various challenges for engineers involved in embedded projects. Let’s explore the five key hurdles you might encounter when launching your product into the market.