Introduction Lately, it seems that we hear about artificial intelligence (AI) every day and see it popping up practically everywhere. AI can do many things humans can — and do them thousands to millions of times faster. This enables us to take humans out of some workflows and instead rely on…

by Frank Leymann & Srinath Perera Four Aspects of Coupling Systems we build change. A system in active use undergoes changes to keep up with a changing world. The primary goal of architecture is to build systems that ease this process of change. To ease this change, we divide and conquer. We break the…

Blockchain has the potential to transform many fields, including enterprise integration, which is a subset of the wider challenge of distributed systems integration. So, we wanted to take a systematic approach to understanding how blockchain could affect future integrations of enterprise systems using the Emerging Technology Analysis Canvas (ETAC) framework. …

We have entered an era where the competitive advantage comes from analyzing, understanding, and responding to an organization’s data. When doing this, time is of the essence, and speed will decide the winners and losers. The reality is that the value of most data degrades with time. It’s interesting to…

Blockchain has a diverse set of use cases, ranging from finance to a decentralized Internet. However, most blockchain use cases can be implemented using relatively few patterns. For example, A Pattern Collection for Blockchain-based Applications provides a list of 15 Blockchain patterns. Fine-grained patterns, such as described above, are useful…

Following are some thoughts about where enterprise software is headed. I will start with what we know (facts), extend to assumptions and observations, and draw possible outcomes from them. If the facts and assumptions change, the outcomes will change too. …

Blockchain has been capturing the imagination of businesses and government organizations, alike. But it can be difficult to sort between the hype and the real potential of this technology. With that in mind, we wanted to take a systematic approach to evaluate it. …

Emerging technologies shape the technology landscape. They create new segments — such as self-driving cars, destroy existing segments — such as GPS trackers, and transform some segments — such as automobiles. As the fates of companies like Kodak, Nokia, Encyclopedia Brittanica, and Sun vividly demonstrate, emerging technologies can make or…

by Miyuru Dayarathna and Srinath Perera — Introduction Stream Processing enables users to query continuous data streams and detect conditions fast within a small time period measured from the reception time. The detection time period may vary from few milliseconds to minutes. For example, with stream processing, you can receive an alert by querying a data streams coming…