Organized by: Nikola Turechki - Data Scientists and Trainer in Innovation & Consultancy Services at Ontotext AD and and Andrey Tagarev – Text Analytics & Machine Learning Expert and Trainer in Innovation & Consultancy Services at Ontotext AD
Semantic Technology offers a broad range of advantages for data scientists, analysts and engineers, including: evolving schemas, flexible data modelling, automated knowledge discovery, access to colossal Linked Open Data resources, to name a few. One reason that drives people away from direct application of Semantic Technology though, is that it is often considered too technical and hard to implement. While somewhat true, this is also misguided. There is simply a lack of organized, consistent resources focused on practical knowledge.
The training would be very useful if you want to have a minimum amount of coding but would like to understand and see the benefits of using semantic technologies in your project.
This training will help you deliver a successful Proof-of-Concept that uses Semantic Technology and a graph database for your business case.
A Proof-of-Concept is a necessary step in every project’s development, especially in projects that are about to adopt a complex and heavy tool into their organizational value chain. Showing the value of Semantic Technology very early on then becomes vital when building trust.
In the training, we will look at the broad range of advantages of SemTech such as integration of dynamic data from virtually unlimited sources, flexible data modelling, automated knowledge discovery, data integration with Linked Open Data resources. By subscribing for this training, you will get: