The more advanced the technology surrounding us, the more complex it is to maintain. Moreover, the data volumes that companies have to manage are becoming increasingly substantial.
Another challenge is that data can be stored in the cloud or locally, and it can be saved in different formats and systems that may be locked or open. For a service technician needing answers to a specific question, it can be like looking for the proverbial needle in a haystack.
Our unique data management solution allows us to structure corporate data and find links that the human brain simply couldn’t perceive.
AI takes data management to the next level
SIA is able to reason and hold a discussion with the person talking to it to make sure the response is correct. This solution has been developed as part of a customer project and has been made possible thanks to Semcon’s mix of various cutting-edge skills in the fields of product information and AI. A so-called data miner constantly searches for the latest information and builds up a semantic layer of ontologies, which allows SIA to find the right answers.
The solution is based on Semcon’s unique data management platform S4, developed in-house, which means that all data in all the different systems can be linked. With the S4 platform Semcon can solve essential challenges for customers by making unsorted data accessible and understandable for all end users.
We make sure every company is given a custom solution based on its own specific needs, in areas such as servicing, business intelligence or paving the way for future AI initiatives.
- Data mining is the process of discovering patterns in large data sets, involving methods at the intersection of machine learning, statistics, and database systems.
- A semantic layer is used for mapping and categorizing complex data into data that a machine or human can understand and read with the help of ontologies for example.
- An ontology is a way of showing the properties of a subject area and how they are related, by defining a set of concepts and categories that represent the subject.