Digitalization & New Technologies

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?

The EU’s new taxonomy regulations oblige industries to thoroughly examine their climate and environmental impact. This may sound challenging and raise concerns. However, an agile company with a mature R&D process can remain calm and align with sustainability requirements. In addition, it pays off to do lifecycle assessments with the help of AI.

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).

Research and Development units in industrial companies face increasing pressure to identify new ways to improve business results – the faster, the better. Unsurprisingly, artificial intelligence, AI, is a hot topic due to its promise to improve efficiency. But what are the other key trends in industrial R&D?

In the fast-paced business environment of today, companies are under constant pressure to innovate, streamline their operations, and quickly adapt to shifting market conditions. Outsourcing R&D has become a key strategy, providing numerous benefits and enhanced capabilities. But how does AI impact R&D in the coming years and why is modular design the winning approach behind outsourcing successfully?

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.

In the world of technical documentation, customer focus is crucial. When documentation meets the needs of the end user, it not only leads to a better user experience but also increases customer satisfaction and reduces errors. In this insight, we will discuss how to collect and integrate feedback from end users to make your technical documentation more relevant and effective.