Cross company workshop on Data Management for AI/ML/DL

Most of the Software Center companies are collecting data from their devices in the field with the intent of using this data for analytics as well as for machine learning. In our research and discussions we see a common problem around collection, analysis and storage of data in distributed embedded systems.

As we believe that this challenge is of relevance for all Software Center companies, we are organizing a cross-company workshop for Software Center member companies at Saab in Gothenburg on October 11, 10:00-13:00. 

Scope

The goal of the workshop is to emphasize the main and common challenges in:

• building data storage architectures (storing, indexing, extracting) that provides rapid access to unstructured and heterogeneous data in distributed environments.
• effectively preparing data (Collection, Understanding, Cleaning and Labeling) for AI and ML models for embedded technologies.

In the workshop we will present two case companies that are preparing the field for AI and ML applications in their industry by investigating novel ways of data management and data storage to set up a stable infrastructure. Each participating company will be invited and welcomed to share their experience and learnings on the data storage/access for automated analysis and ML training.

We aim at defining a collaborative strategy and a research plan that will result in determining the main principles and best practices for building suitable storage solutions and data preparation pipelines.