Leverage Bosch Semantic Stack to gain complete control over your product data across the entire lifecycle through digital twins and a unified Semantic Data Layer that breaks down silos and harmonizes all data sources. This semantic foundation makes your product information understandable and valuable for humans, machines, and AI with common understanding and instant accessibility – enabling you to implement data-driven solutions faster and achieve value chain advantages at scale.
Data Growth Paradox - Data everywhere, insights nowhere
The Data Growth Paradox confronts manufacturers: more data should drive automation, boost productivity, and generate insights – yet it creates growing complexity and chaos instead. Product data scattered across disconnected systems leads to format inconsistencies and costly integrations, with teams spending more time fixing data issues than driving innovation.While 75% of executives recognize data as the key to AI success, only 14% have established scalable data strategies. Organizations with unified semantic data foundations can rapidly deploy new solutions and unlock AI-driven insights. Meanwhile, fragmented approaches create mounting integration costs, delayed time-to-market, and an innovation bottleneck that blocks growth.
Make your product data understandable and valuable for humans, machines, and AI
Gain complete control over product lifecycle data with common understanding and instant accessibility.
Reduced data management costs
Unified data foundation breaks down silos, reduces 'data chaos’, and eliminates costly point-to-point integrations.
Generate actionable insights faster
Data-driven Solutions and Agentic AI applications unlock valuable insights and new business models.
Seamless ecosystem interoperability
Industry standards enable secure data sharing and regulatory compliance across value chains at scale.
From raw product lifecycle data to actionable insights
A four-layer approach that solves the Data Growth Paradox
Bosch Semantic Stack transforms raw product lifecycle data into actionable insights through a four-layer approach. Semantic Data Models establish shared understanding. A unified Semantic Data Layer harmonizes and integrates data efficiently. Digital Twins create holistic product-centric views across the entire lifecycle. The result: scalable Data- and AI-driven solutions for Manufacturing Co-Intelligence that deliver actionable insights throughout the entire product lifecycle.
Proven use cases at scale
Product Lifecycle Data Management
Enable data-driven solutions across all departments and lifecycle stages with standardized, reusable APIs that eliminate costly point-to-point integrations. Cut development and maintenance costs while unlocking new business models through seamless data sharing. Your foundation for scalable innovation.
Empowering AI & AI Agents with Semantic Data
The Data Growth Paradox amplifies with AI – more data alone leads to hallucinations and isolated improvements. Only AI agents powered by semantic domain knowledge deliver expert-level results. Achieve reliable decision-making, significantly increased answer correctness, and save time on manual fact-finding and data consolidation.
Data-Driven Quality
Warranty costs and recalls drain revenue and damage reputation, while data engineers waste most of their time on data preparation instead of preventing failures. Enable continuous quality loops for predictive warranty, root cause analysis, and product enhancement using field data. Save time on data preparation and reduce costly recalls.
Product & Battery Passports
Rising sustainability regulations demand accessible, integrated data – yet building in-house IT systems is slow, expensive, and ties up resources. Turn compliance into competitive advantage with an organized data ecosystem that ensures automated regulatory compliance while unlocking new value-creating use cases through data reuse. Save development and operating costs while accelerating time-to-market.
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Catena-X Ecosystem Integration
Catena-X has become a market requirement for standardized, cost-efficient data exchange across the automotive value chain – from battery passports to traceability and certificates. Digital twins ensure interoperability, data sovereignty, regulatory compliance, and IP control. Achieve business readiness with industry standards while enabling cost-efficient reuse and scalability for mandatory data exchanges.
Ready to overcome the Data Growth Paradox?
