AI-Driven Transformation Enabled by Collaboration Between People and AI
AI-driven transformation is an approach that drives enterprise transformation by combining data, AI, and human expertise to continuously enhance decision-making and operational execution. Committed to delivering management transformation and results for our customers, Uvance helps realize AI-driven transformation in which people and AI learn together to turn each organization’s unique knowledge and experience into new value.
"AI-Driven Transformation" Brought about by Uvance
People and AI evolve together, continuously strengthening what makes each organization unique
AI-driven transformation is an initiative that enhances enterprise competitiveness and value creation by continuously evolving data-driven decision-making and operational execution through collaboration between people and AI. Uvance enables people and AI to work as one to continuously drive business activities, augmenting human capabilities and allowing each organization to continually build on its unique strengths.
The goal is not to replace people with AI. By learning from one another and evolving together, people and AI turn each customer’s unique knowledge and experience into new value, continuously strengthening the customer’s competitiveness. This is Uvance’s vision of 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.
Data & AI Insights Supporting AI-Driven Transformation
Unlocking new possibilities for value co-creation through AI and Data Spaces
Redesign the "Common Sense of Winners":
Fujitsu’s AI Space and the New Principles of Competition
Beyond the limits of Data-driven management
Agentic AI Supporting AI-Driven Transformation
From Operational Efficiency to Business Transformation Through Collaboration Between People and AI
The key to achieving AI-driven transformation is Agentic AI, which harnesses the knowledge and experience that organizations have cultivated not only to improve operational efficiency, but also to drive business transformation and growth. Agentic AI enables multiple AI agents with different areas of expertise to collaborate autonomously and work with people, handling everything from information gathering and analysis to decision-making and execution to address complex challenges.
Turning Corporate Knowledge and Experience into a Foundation for Collaboration Between People and AI
The key to turning Agentic AI into a source of company-specific competitive advantage is enabling people and AI to share a common understanding of the meaning and context of business operations through context such as company-specific rules, decision-making criteria, and frontline expertise. Through the Context Layer, Fujitsu supports collaboration between people and AI by connecting data with business knowledge and decision-making criteria.
AI Space: Industrial Data Integration and Cross-Industry Value Creation
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
AI Space is a concept that builds on a Data Space to share knowledge and value, accelerating the creation of new value across both business and society. Through advanced AI and data integration, it drives growth and innovation across the entire ecosystem.
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.
News
- Press ReleaseFujitsu to launch trial environment for retail AI agents that advance store operations and business decision-making
- Press ReleaseFujitsu to showcase technologies for a resilient society at CEATEC 2026
- Press ReleaseService developed to support decision-making for corporate EV fleet adoption
- Press ReleaseIR Day 2026
- Press ReleaseFujitsu evolves Uvance business model for AI transformation
FAQ
What is AI-driven transformation?
The AI-driven transformation envisioned by Uvance evolves business activities through mutual learning between people and AI, enhancing human capabilities and enterprise competitiveness. Through collaboration between people and AI, it turns the knowledge and experience accumulated by each organization into new value.
What is the difference between AI-driven transformation and data-driven management?
The AI-driven transformation envisioned by Uvance evolves business activities through mutual learning between people and AI, turning each organization’s unique knowledge and experience into value and enhancing its competitiveness. Data-driven management involves formulating management strategies and implementing initiatives based on data.
What is the difference between AI-enabled decision-making and data-driven decision-making?
AI-enabled decision-making combines AI-powered analysis, forecasting, and simulation with human expertise to enhance the decision-making process. Data-driven decision-making is an approach in which people use data as the basis for their decisions.
What is the difference between Data & AI and data science?
Data & AI is a broader approach that combines data analytics with AI, optimization, simulation, and other capabilities, linking the results to improvements in business operations and management decision-making. Data science is a technical discipline that uses analysis to generate predictions and insights.
Related Information
Uvance Wayfinders – Consulting by Fujitsu
Updated October 30, 2026