The concept of digital twins has been around for a long time in terms of modeling and simulation. However, the two are vastly different. The digital twin is a living-learning model, as described by Colin Parris, CTO of GE Digital. Thus, it is continuously running and updating itself based on data received from the subject of the twin. 

With the advancement and widespread use of the Internet, there has been an astronomical increase in both the number of data sources and the amount of data generated from each source.  

The main aim of the digitalization of supply chain management is to simplify the management of the complex, interconnected processes of the supply chain. Moreover, for the digitalization of tactical decision-making, a digital model of the decision-making process is necessary. This is because every digital technology runs on rules, algorithms, and frameworks, learned or discovered. 

The speed of innovation has increased significantly over the last 15 years and has become a key factor for competitive advantage. The success of technology and innovation leaders like Alphabet, Apple, Amazon, and Microsoft illustrate this development. Their products and services, such as the iPhone or video streaming services like Amazon Prime Video, have changed the way we live, work and interact with each other tremendously. However, current technological developments not only have an impact on end-customer markets. More and more use cases are also emerging for companies which can be subsumed under the keywords digital business models, Industry 4.0, IoT, cloud technologies, robotics, and AI.

The core of innovation is to enable people to do tasks better than they previously could or make them do things that they couldn’t do before.

The driving force behind blockchain technology is decentralized data linked together like a chain in a network across several computers so that control does not reside with a single entity. When first launched in the implementation of Bitcoin, this revolutionary idea gave rise to a whole set of crypto exchanges, financial solutions, and decentralized platforms. But the scope of blockchain technology is much larger. 

We live in a changing world, and our environment becomes increasingly Volatile, Uncertain, Complex and Ambiguous. Over the last few weeks, we dove into the VUCA framework and the megatrends that shape VUCA. In the final article of this series, we'll put together the learnings and focus on the companies thriving in a VUCA world: competitive project-driven companies that are lean, agile and digital.

This week, we're taking a look at Complexity: the third concept in the VUCA framework. In this sense, a complex world means a world where you deal with many interconnected parts and variables, and large amounts of information need to be processed to make sense of all aspects and their influence.

In today's article, we're continuing our deep dive into VUCA and will discuss Uncertainty. Uncertainty is driven by unpredictability and surprises – meaning that events will occur that we do not expect and have not planned for. Managing Uncertainty means planning for a world that is hard to predict.

In the first article of this series, we looked at the megatrends that shape VUCA: technology, globalization, demographics and resource scarcity. Today, we’re diving into Volatility. What does it mean for businesses, and how can you master volatile environments?

Today, I’m talking to Andreas, one of aioneers’ founders and CEO of aioneers Technology. He will tell us more about the what’s and why’s of aioneers. In December we’re taking some time to introduce you to our team, and we’ve been running an advent calendar on social media.