Implementing AI-Driven Transformation Through Collaboration Between Human and AI

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Uvance is committed to delivering management transformation and results for our customers. Discover AI-driven transformation, where people and AI learn together to turn company-specific knowledge and experience into new value, and the approach to making it a reality.

"AI-Driven Transformation" Brought about by Uvance

What Uvance means by AI-driven transformation is enabling human and AI to work and learn together, continuously enhancing human capabilities and strengthening each organization’s distinctive competitive advantages.

People and AI evolve together, continuously strengthening what makes each organization unique.

Uvance enables a future in which people and AI work together as one to drive business operations, enhance human capabilities, and continuously strengthen the distinctive capabilities of each organization.
This is not about replacing people with AI.
Rather, it is about creating an environment where people and AI elevate one another, continuously reinforcing the competitive advantages unique to each organization.
This is what we mean by AI-driven transformation.

Combining Three Core Capabilities to Implement Transformation Unique to Each Customer

By combining advanced technology foundations, platforms that enable collaboration between people and AI, and implementation expertise built on deep industry knowledge, Uvance helps organizations realize AI-driven transformation unique to each organization.
Every organization has its own sources of competitive advantage, values it seeks to preserve, and vision for the future.
That is why Uvance focuses not on standardized AI adoption, but on implementing transformations that are distinctive to each industry and each organization.

Executive Insights for the Data & AI Era

Unlocking new possibilities for value co-creation through AI and Data Spaces

The key to overcoming today’s polycrisis is the “AI Spaces” that integrates AI technologies into Data Spaces. Based on global trends and Uvance’s strategic vision, this summary provides practical insights for companies seeking to boost competitiveness.

Redesign the "Common Sense of Winners":
Fujitsu’s AI Space and the New Principles of Competition

The key to thriving in this competitive landscape is AI Spaces. Through Multi-AI Agent Collaboration Technology and Advanced Trust Technology, Fujitsu supports transformation, transcending corporate and organizational boundaries, and more sustainable world.

Beyond the limits of Data-driven management

Accelerate business growth beyond the limits of data-driven management with advanced decision-making powered by Data & AI. Discover four strategic perspectives companies need to thrive in the BANI era.

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Autonomous Decision-Making and Collaboration Enabled by Agentic AI

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Handling Massive Data Processing and Complex Scenarios

In today’s rapidly changing business environment, traditional data analysis and reporting alone cannot address complex challenges with the required speed and precision. Agentic AI enables real-time processing of vast amounts of data and complex scenario simulations, reducing decision-making cycles from days to mere hours.

Autonomous Decision-Making and Execution by AI Agents

Agentic AI shares objectives with humans and autonomously determines and executes the next actions based on collected and analyzed information, supporting optimal decision-making in collaboration with people. Uvance is building a system where multiple AI agents specialized in different business domains work together, ensuring governance, transparency, and highly reliable AI utilization.

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Agentic AI：Enhancing the Quality and Speed of Decision-Making: Today and Beyond

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Cross-Industry Value Creation and Trusted Data Collaboration to Realize Data Spaces

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New Collaborative Value Through Trusted Data Sharing

Data space is a framework that enables companies and organizations to securely connect and share data with trusted partners while maintaining data sovereignty, thereby creating new value. By ensuring the reliability of participants and data under common rules, data spaces make it possible to gain insights that individual organizations could not obtain alone and to utilize data across industries and organizational boundaries.

Expanding Knowledge and Value Through AI Spaces

Building on data spaces, the concept of AI spaces accelerates the sharing of insights and value across both business and society. By combining advanced AI with seamless data integration, these ecosystems are evolving into mechanisms that drive growth and innovation collectively.

AI Spaces: Industrial Data Collaboration and Cross-Industry Value Creation

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Centered on Uvance’s vision of “Human-AI Co-Creation,” we provide a structured introduction to the latest approaches—such as AI agents, Decision Intelligence, and Data & AI-native process innovation—illustrated with real-world examples. Explore industry case studies that reveal the background, frameworks, and future outlook for accelerating decision-making speed and quality, driving sustainable growth.

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News

August 18, 2026Press ReleaseZenkyoren adopts “Fujitsu Cloud Service powered by Oracle Alloy” and “Oracle Analytics Cloud” for stable operation and advanced utilization of its information systems
July 28, 2026Press ReleaseFujitsu initiates development of proprietary AI platform for financial institutions
July 16, 2026Press ReleaseFujitsu to explore physical AI development and implementation across industries with FANUC, Yaskawa Electric, and Kawasaki Heavy Industries integrating NVIDIA technology
July 13, 2026Press ReleaseFujitsu developed an AI Agent to collaborate with store managers for AEON Food Style’s strategic store operations
June 18, 2026Press ReleaseFujitsu spotlights dynamic transformation for business in an AI era as the core theme for the Fujitsu Technology and Service Vision 2026

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FAQ

What Is Decision Intelligence?

Decision Intelligence is an approach that integrates data, AI, and human expertise to improve both the quality and speed of executive decision-making. It goes beyond data analysis or the implementation of individual tools by combining insights from vast amounts of data, AI-powered predictions, and the judgment of professionals with deep operational or policy expertise. This enables organizations to transform the decision-making process itself from a management perspective. As a result, executive decisions can be designed and managed with greater consistency and repeatability, rather than relying solely on the experience and intuition of individual decision-makers.

What Is the Difference Between Data-Driven Decision-Making and AI-Powered Decision-Making?

Data-driven decision-making is an approach in which people make decisions based on data. In contrast, AI-powered decision-making uses AI to analyze data, generate forecasts, and run simulations, combining these capabilities with human expertise to enhance the decision-making process itself. Through Decision Intelligence, which integrates data, AI, and human expertise, Fujitsu improves the quality and speed of executive decision-making.

What Is the Difference Between Decision Intelligence and Data-Driven Management?

Data-Driven Management (DDM) refers to formulating business strategies and implementing initiatives based on data. In contrast, Decision Intelligence transforms decision-making itself by using data, AI, and other technologies to analyze, understand, and redesign the decision-making process.

What Is the Difference Between Data & AI and Data Science?

Data science is a technical field focused on analyzing data to generate predictions and insights. In contrast, Data & AI is a broader approach that combines data analysis with AI, optimization, and simulation to apply those insights to real-world business operations and management decision-making. In other words, while data science primarily focuses on analysis, Data & AI extends beyond analysis to improve decision-making and business processes.

How Can Data & AI Be Used in Industries Such as Healthcare, Retail, and Financial Services?

Data & AI can be used in industries such as healthcare, retail, and financial services to address industry-specific challenges and improve the quality and speed of decision-making. Fujitsu defines Decision Intelligence as an approach that integrates data, AI, and human expertise to transform the decision-making process itself. Learn more in our industry-specific white papers.

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