AI Spaces: Industrial Data Collaboration and Cross-Industry Value Creation
Fujitsu’s AI Spaces leverages trust technologies developed through international interoperability trials involving IDYX Trust Interconnect and other initiatives. They enable secure cross-industry data collaboration and support the creation of new value through AI.
Industrial Data Utilization and Value Creation Enabled by AI Spaces
Enhancing AI-Driven Decision-Making Through Industrial Data Collaboration
By securely connecting industrial data across organizational and corporate boundaries and applying it to AI-powered analysis, forecasting, and decision-making, organizations can address complex social challenges that are difficult to solve independently and create new business opportunities. Furthermore, AI Spaces go beyond data sharing by enabling AI-generated insights and value to be utilized across the entire ecosystem, accelerating cross-industry growth and innovation.
From Generative AI to Agentic AI: Data Quality as a Key Driver of Competitive Advantage
As the use of AI advances from Generative AI to Agentic AI, the quality and reliability of the data that AI systems reference have become critical factors in determining the accuracy of decision-making. By leveraging high-quality data connected across industries and organizations, AI can deliver more accurate analysis, forecasting, and judgment, enabling businesses to make faster and more informed decisions. This can lead to the creation of new business opportunities and stronger competitive advantage.
What Is an AI Spaces
A data space is an initiative where participants maintain data sovereignty(※) while leveraging advanced technologies such as blockchain to securely collaborate and share data with trusted partners, creating new value. In today’s rapidly changing business environment, achieving sustainable corporate value requires improving both the “quality of insights” derived from data and the “speed” of decision-making. The key to unlocking this lies in AI. Uvance combines advanced data integration with AI to evolve data spaces into an “AI Space”—a shared platform for knowledge and value—aiming to bring this innovation to businesses and society.
※Data sovereignty is the principle that enables companies and organizations to maintain control over how their data is managed, used, and shared. By securely connecting and sharing data with trusted partners, organizations can protect data confidentiality while accelerating AI adoption and creating new value.
Three Key Strengths of Fujitsu/Uvance in Leading AI Spaces Implementation
Through interoperability trials involving IDYX Trust Interconnect and Catena-X, Fujitsu is advancing technical validation to enable secure and trusted data collaboration across industries and organizations. Drawing on the trust technologies and interoperability expertise gained through these trials, Fujitsu is exploring use cases in a wide range of fields, including manufacturing, healthcare, mobility, supply chains, and financial services, while assessing the business value of data spaces.
Fujitsu also supports the future development and utilization of data spaces through architecture design and consulting tailored to each organization’s needs, contributing to the realization of a data-driven society.
1. Governance and rule-making that lead international standardization
To address cross-industry challenges in rapidly evolving fields such as AI, quantum technologies, and communications, we are actively engaged in rule-making for data spaces. By collaborating with international standardization bodies and industry consortia, we are helping shape governance frameworks around AI ethics and data sovereignty. Our proprietary technology, IDYX Trust Interconnect, has already demonstrated successful interoperability with global data spaces such as Europe’s Catena-X, and these efforts have earned high recognition from expert organizations both in Japan and abroad.
2. “IDYX Trust Interconnect” — a trust technology enabling cross-industry collaboration
To enable trusted data exchange between companies, Uvance has developed the advanced trust technology, IDYX Trust Interconnect(※). By making corporate digital certificates interoperable across countries and industries, we successfully demonstrated connectivity to Catena-X, a European Data Space. This technology ensures secure and decentralized data distribution through authenticity verification, protocol conversion, and certificate transformation, earning high recognition in the industry.
※IDYX Trust Interconnect is Fujitsu’s trust technology that enables secure data collaboration across national and industry boundaries. By making different corporate identity verification systems and digital certificates interoperable, it allows organizations to connect reliably to data spaces such as Catena-X while maintaining data sovereignty.
3. Trust Built on International Certification and Interoperability
Fujitsu has obtained international certifications such as ISO/IEC 27001 in the field of information security and is highly recognized for its commitment to privacy protection. Furthermore, our proprietary technology, IDYX Trust Interconnect, has successfully demonstrated connectivity with Catena-X in Europe, showcasing advanced trust capabilities and leadership in rule-making for global interoperability. These achievements have been featured at international exhibitions and standards organizations, reinforcing Fujitsu’s reputation for reliability and technological excellence.
※Interoperability is the concept of connecting systems and identity verification mechanisms used by different countries, industries, and organizations to enable secure data collaboration. In data spaces, interoperability is essential for allowing companies to share data with trusted partners while maintaining data sovereignty. Through trust technologies such as IDYX Trust Interconnect, Fujitsu is advancing interoperability to support secure international data exchange.
Creating value that no single company or industry could achieve alone
By enabling cross-industry and cross-company data sharing, we maximize both business and social impact.Breaking down traditional data silos and establishing trusted data circulation unlocks tangible outcomes such as optimized supply chains, advanced demand forecasting, and more efficient product lifecycle management—directly enhancing competitiveness.Furthermore, initiatives like improving diagnostic accuracy through medical data integration and accelerating decarbonization using environmental data contribute to solving societal challenges.With a framework that ensures interoperability and governance, companies can confidently leverage data, accelerating data-driven decision-making.This approach empowers sustainable growth while simultaneously creating social value.
AI Spaces 9 Initiatives
Through the framework of data spaces, Uvance collaborates with governments, industry associations, enterprises, partners, and research institutions to unlock new value from data across sectors such as pharmaceuticals, supply chains, and consulting. These 9 initiatives aim to build an open, trusted data ecosystem and tackle pressing challenges in both society and business.
National Initiatives
Pharmaceuticals Working Group in Physical Internet Implementation Council
Aiming to maintain drug quality and ensure stable supply, this initiative visualizes temperature control and theoretical inventory across the supply chain—from manufacturing sites to pharmacies and hospitals—and conducts joint transportation pilot tests to optimize logistics.
Fujitsu supports pharmaceutical logistics efficiency by leveraging SIP elemental technologies to collect, standardize, and exchange temperature and cargo data, enabling temperature traceability, joint delivery, and pallet transport simulations.
Collaboration with Industry Associations
Council for Manufacturing, Distribution, and Sales Collaboration
To improve logistics efficiency for processed foods and daily goods, discussions are underway on standardizing product master data and logistics materials.
Fujitsu provides its SIP platform to the organizing Distribution Economics Institute and is building systems that support logistics optimization, such as an ecosystem for delivery slips.
Japan Automobile Manufacturers Association (JAMA)
To prepare for emergencies such as natural disasters, an FY2025 area for industry-wide collaboration has been defined, and an industry survey is being conducted to explore the development of a data platform that enables rapid information sharing across the entire supply chain while strengthening and streamlining business continuity planning (BCP).
As part of this initiative, Fujitsu was awarded the FY2025 research phase on emergency supply chain management information and led the project.
Alliance with Customers
Working primarily with major food manufacturers in Japan, Fujitsu conducted a proof of concept to standardize and connect transaction and logistics data in food procurement, confirming its potential to improve operational efficiency. Fujitsu built and provided a data platform that collects, standardizes, and exchanges transaction and logistics data by leveraging its existing EDI integration platform and SIP technologies.
Collaboration with Consulting Firms
GTM / Executive-Level Engagement
While developing the DIP data platform, Fujitsu is conducting initial assessments and monitoring and reporting on the progress of customers’ improvement initiatives, with the aim of identifying new opportunities for action.
To drive business growth over both the short and medium term, Fujitsu is also advancing concrete and proactive discussions in collaboration with internal and external consulting firms.
Collaboration with Partner Companies
Joint Transportation on Main Routes
To address Japan’s 2024 logistics challenge, we offer scheduled open joint transportation services (SST services) that allow selection and reservation of trunk line schedules by standard pallet units, ensuring availability when needed.
Fujitsu has invested 10% (¥50 million) in SST and provides the data infrastructure and business applications necessary to enable joint transportation.
Streamlining, Advancing, and Differentiating Supply Chains
By combining Fujitsu’s advanced digital technologies with eBASE’s product information platform, we are launching a data-driven strategic partnership.
Together, we will enhance corporate competitiveness across four key dimensions.
Value delivered through the collaboration (example use cases):
・Risk Visualization
Instantly identify supply chain risks by integrating raw material data with optimization technologies.
・Price Volatility Management
Link raw material data with market trends to enable real-time forecasting of cost fluctuations.
・Best-Seller Analysis
Leverage product attribute data to uncover key sales drivers and accelerate the creation of hit products.
・ESG Enablement
Ensure transparency of sustainability-related information, supporting compliance with global regulations and meeting investor expectations.
Collaboration with Our Research Institutions
Digital Rehearsal for Supply Chain Optimization and Resilience
We conduct comprehensive analysis and forecasting of how various uncertain scenarios—such as climate change, rising prices, and geopolitical risks—impact the entire supply chain. Beyond assessment, we propose improvement measures such as switching transportation modes and diversifying procurement sources to mitigate these effects. By taking strategic, proactive steps, we aim to optimize and strengthen supply chain resilience.
Fujitsu is advancing practical applications such as PoC in the food and chemical industries and is exploring integration with the Dynamic Supply Chain offering in collaboration with our Research Labs and the DSC Business Unit.
Cross-Supply Chain Multi-AI Agent
We are strengthening foundational generative AI technologies that enhance on-site capabilities and quality, aiming for autonomous optimization of e-commerce and supply chains through AI agents with rigorous ethics, data governance, and security.
In FY25, Fujitsu is leading these efforts as chair of the Autonomous AI Agent Working Group, under the leadership of Chairman Furuta, who serves as COCN President.
FAQ
What Are AI Spaces?
AI Spaces are a co-creation platform that integrates AI technologies into a data space, connecting data and AI across companies and organizations to generate new insights and value.
While maintaining data sovereignty and trust, AI learns from and analyzes securely shared and connected data. Multiple AI agents then collaborate to help address complex social and business challenges, enhance decision-making, and create new business opportunities.
What Is the Difference Between a Data Space and AI Spaces?
Data Space is a framework that enables companies and organizations to securely connect and share data while maintaining data sovereignty and trust. AI Spaces build on this framework by integrating AI technologies, enabling AI to learn from and analyze connected data. Through collaboration among multiple AI agents, it serves as a co-creation platform for generating new insights and value.
What Is an Industrial Data Space?
An industrial data space is a data collaboration platform that enables industrial data to be securely connected and shared across companies and industries. It can be used for supply chain optimization, demand forecasting, decarbonization, and more advanced AI-driven decision-making.
By emphasizing data sovereignty, trust, and interoperability, Fujitsu supports value creation through industrial data spaces that would be difficult for a single company or industry to achieve alone.
What Technologies Are Used for Data Integration and Collaboration?
Data integration and collaboration use advanced technologies such as blockchain, trust technologies including IDYX Trust Interconnect, digital certificates, authenticity verification, protocol conversion, certificate conversion, and data platform technologies for collecting, standardizing, and exchanging data.
These technologies enable organizations to build secure and trusted data spaces across companies and industries while maintaining data sovereignty, supporting AI adoption and the creation of new value.
How is a data space related to Catena‑X?
Catena‑X is a production‑ready implementation of the data space concept specifically designed for the automotive industry.
It is regarded as a representative example of a data space and is positioned as a distributed industrial data space tailored to automotive value chains.
Are there any concrete examples of data spaces?
Fujitsu is advancing concrete data space initiatives primarily in logistics, manufacturing, and supply chain domains, enabling secure inter‑company data sharing while preserving data sovereignty.
These initiatives include joint transportation and delivery platforms, data collaboration across physical distribution and commercial flows in the food industry, information sharing in pharmaceutical and chemical logistics, and EV battery data collaboration within the Ouranos ecosystem. Through proof‑of‑concepts and commercial deployments, Fujitsu is driving real‑world adoption of data spaces.
Related Links
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