data science

In this series, we’ve looked at many of the new user features in Syndeia 3.6. We’ll end the series with some important changes to the infrastructure and a brief look at the future. API Extensions All the Digital Thread Project capabilities presented on the web and plugin clients are backed by dedicated endpoints for working

In Part 4 of this blog series, we demonstrated the use of graph analysis with Gremlin for analyzing the digital thread. This probably raised several questions in the reader’s mind. How do we automate these queries so we don’t need to manually enter each one? How can we perform additional analysis on the results with

In the first three parts of this blog series, I discussed the connections between Data Science and Digital Engineering through the idea of a Digital Thread. In this and the following post, I will show some examples from Syndeia, the digital thread platform from Intercax, that illustrate these ideas, beginning with the application of graph

The data model Syndeia uses for the Digital Thread is a graph, a collection of vertices and edges, each of which can have a name, type and properties (edges can also have a direction). In our case, we have all of those. Referring back to Figure 1, Part 1, the reader can see why this

In the first post in this series, we considered the relationship between Data Science and the Digital Thread. In this post, we will discuss what need to put these ideas into practice. First, obviously, is data. We want all the data about the system and a way to get to it. For that, I’m going

In the past year, Data Science has been getting a lot of play in the Systems Engineering world. Digital Transformation offers an enormous opportunity in the development of complex systems, but only if we can handle the enormous datasets that accompany real-world projects. My objective in this blog series is to demonstrate some practical approaches