Want to deploy digital twins as part of your predictive maintenance strategy? You should, for countless reasons that have been identified elsewhere. But like anything else worth doing in business, it’s a process – you need to know where your organization lands on the maturity curve, and where it’s going.
As the old saying goes, “You wait ages for a bus and then two [or possibly three]come along at once.” This saying can be updated to reflect life in our increasingly digital world: "You wait ages for a genuine disruptive technology and then two [or possibly three]arrive simultaneously." This phrase
Most people associate generative AI (GenAI) with large language models (LLMs). While LLMs focus specifically on generating text, GenAI encompasses a wider range of content generation tasks beyond just language, including images, music and more. Broadly speaking, GenAI uses machine learning algorithms to analyze and learn from existing data sets
Organizations continuously search for innovative ways to optimize their operations and elevate efficiency. One promising frontier is the integration of digital twins for predictive maintenance. However, the true potential of this technology often remains untapped, with many organizations settling for what can be described as “digital shadows.” In this exploration,
Many executives may be feeling supply chain anxiety. The pace of disruptions – weather events, aggressive marketing techniques, transportation bottlenecks, and more – remains high, and there are already signs of consumer uncertainty in 2024. To manage the unknown and keep supply chains strong, some organizations are employing intelligent, real-time
Manufacturing remains a transformative process at its core, converting raw materials into valuable products. While the fundamental essence of manufacturing has endured for centuries, the methods and technologies employed have undergone significant evolution, driven by innovation and the ever-shifting demands of consumers. As we enter 2024, the manufacturing industry is
The health care and life sciences market is accelerating – but not without a few necessary pitstops. Machine learning, digital twins, generative AI, robots as doctors, medications with sensors, and surgery at the speed of light. It’s all driving the market. Year after year, market researchers, analyst firms, and industry
As 2023 ends, it's important to reflect on the predictions that SAS leaders made at the beginning of the year. Let’s look at some of these predictions and see how accurate they were. We'll explore forecasts related to health care, human resources, AI, data, renewable energy and more. Let's dive
A lo largo de 2022, el mundo siguió enfrentando un entorno cambiante dominado por altibajos económicos, una crisis energética provocada por un conflicto bélico, una cadena de suministro que se reinventa, y recuperándose de los estragos de una larga pandemia global. Al mismo tiempo, los cambios culturales, ambientales y la
From the discovery of LED lighting to the rise of robotics and 3D printing, technology continues to transform the manufacturing industry. Yesterday, it was the assembly line. Today, it’s digital twins. In particular, technology developments in the data and analytics space were discussed at a recent MFG Day held at SAS
