The automotive industry is becoming increasingly data intensive. GADS - the Global Automotive Data Space by Dell Technologies and GNS Systems - makes the flood of edge data from video, radar, lidar and other sensors manageable. The platform contributes significantly to data democratization and generates added value of data within the value chain. Benefit from an efficient & effective Data Life Cycle across Edge - Core - Cloud.
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Unified environment for data-driven value creation
Global Automotive Data Space by Dell Technologies and GNS Systems
Modern automotive companies generate large amounts of data, with a rising trend. The business value of this data is vast. To benefit, companies need a data strategy that matches the data’s purpose and location. The strategy should consider what the data is used for, where the data and the users are located, and how to connect them efficiently. This includes defining policies for data allocation, access by internal and external stakeholders and data orchestration according to available resources and needs.
GADS, the Global Autonomous Data Space from Dell Technologies and GNS Systems, optimally fulfills these criteria. The result: Perfect control of all data in terms of speed, availability, flexibility, security, management and cost.
An Consistent Data Environment for Optimized Workflows
GADS
provides developers with a coherent
solution to address data challenges
(for example data storage, management, orchestration, traceability,
tiering) in a future-oriented approach.
GADS provides a holistic approach to
use-case optimized data access, processing and orchestration independent
of the underlying data sources and
connected tools (e.g. CAx) to ensure
process traceability and increase
confidence in the digital data trove.
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GADS provides end-to-end access to the growing number of data types and systems.
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GADS allows large amounts of data to be streamed, quickly processed, stored and analyzed according to the use case specific needs.
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GADS ensures access and collaborative data sharing across applications and companies/ organizations.
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GADS ensures data quality, maintains information integrity and complies with existing legal guidelines.
Robust, Efficient and Effective Data Workflows for
Data Intensive Business
Data Intensive Business
By connecting different systems (e.g., test benches) with a uniform, consistent data platform such as GADS, data transparency, data redundancy and data democratization as well as data management become easier. The platform captures specified process metadata and orchestrates it across multiple sites by following customizable policies. Industry developers benefit from the enormous process reliability and high flexibility offered by a single system for data management.
The platform enables development engineers worldwide to access data with domain-specific intelligent semantic data models.
GADS captures the specified information elements during data processing and orchestrates them across different sites by following individually defined policies
Especially for data intensive development such as autonomous vehicles, user-defined guidelines form a powerful tool that offers the developer maximum flexibility and efficiency.
GADS provides a strong basis for data driven technologies such as digital twins for SDV, AI driven systems or processes, data analytics, and cross-company data sharing.
Benefits
GADS provides a unified interface for retrieving data and closes the gap between communication, orchestration and compliance:
Global Automotive Data Space
Empower the Creation of Data Value for Autonomous Vehicle Development
With the shift towards a data-driven corporate culture, the demands on data management are increasing: the focus is on transparency through clear data classifications, traceable data flows and stringent reporting concepts. As a comprehensive and flexible solution for managing data, the Global Automotive Data Space (GADS) addresses precisely this issue: The powerful and scalable platform processes large volumes of data and ensures seamless access across different locations and applications. GADS thus significantly helps to increase flexibility in data usage and to get a grip on the complexity of highly distributed data landscapes.
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