Services/Data & AI/ML

Driving OEM Data Excellence: Solvency's Tailored Solutions for Data Management and AI/ML Success

Solvency introduces itself as a data company that helps Original Equipment Manufacturers (OEMs) with their data management and AI/ML initiatives. They focus on the initial phase of data discovery, where they identify data sources across various business processes like telematics, customer data, and software-defined vehicles.

Solvency then creates a roadmap for aggregating this data into a data lake, leveraging their experience with tools like Snowflake, Databricks, and programming languages like Java and Python. They prioritize data from core systems like vehicle operations and sales for OEMs subcontractors

general data Architecture

Key Services:

  • Data Discovery: - Solvency helps identify relevant data sets from disparate systems across the OEM's business.
  • Data Lake Creation: - They create a roadmap for building a data lake that aggregates master and transactional data sets.
  • Data Quality Management: - Solvency prioritizes data quality by implementing measures before data enters the data lake, ensuring its usefulness for AI/ML initiatives.
  • Data Platform Architecture: - They follow a general approach of "sense, aggregate, analyze, and publish" to manage data ingestion, security, governance, and availability.
solvency
solvency
Data and AI/ML Solutions for OEMs

Solvency's Advantage:

• Solvency focuses on data quality upfront, avoiding the industry issue of loading raw, unusable data into data lakes.

• They leverage partnerships with AWS and Snowflake to provide robust data solutions.

Overall, Solvency positions itself as a data partner for OEMs, helping them manage their data effectively and prepare it for AI/ML initiatives.