Data & AI: Transforming Business Decision-Making with Decision Intelligence
By leveraging data and AI, organizations can enhance enterprise decision-making, drive business transformation, and increase corporate value. With Agentic AI and AI Spaces, Fujitsu is accelerating the structural transformation of business processes—from decision-making through execution.
AI-Driven Business Transformation and Corporate Value Creation with Data & AI
Leveraging Data & AI to Enhance Decision-Making
As uncertainty becomes the new normal, businesses need to advance decision-making beyond conventional approaches. AI is evolving from a tool for improving efficiency into a core driver of enterprise transformation, reshaping how organizations make decisions. Through Decision Intelligence, which integrates data, AI, and human expertise, Fujitsu Uvance enhances the cycle of prediction, validation, execution, and learning to support customers in driving business transformation and creating sustainable value.
Creating Value by Addressing Business and Social Challenges
Advances in AI and technology are transforming industrial structures and the very nature of value creation, requiring businesses to pursue both economic growth and solutions to social challenges.
Starting with technology-driven value creation, Uvance leverages Decision Intelligence to deliver business and social impact simultaneously, helping organizations achieve sustainable growth.
Enhancing Decision-Making with Decision Intelligence
A Decision-Making Process Integrating Data, AI, and Human Expertise
Decision Intelligence is an approach that integrates data, AI, and human expertise to enhance executive decision-making.Uvance accelerates the cycle of AI-driven knowledge creation and value creation, driving transformation across the entire enterprise.
Enhancing Decision-Making Capabilities Across the Enterprise
Through Decision Intelligence, Uvance enhances decision-making and execution across the enterprise, from executive management to frontline operations. By enabling people and AI to work together, it improves both the speed and accuracy of decisions while driving continuous business transformation.
Autonomous Decision-Making and Collaboration Enabled by Agentic AI
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.
Cross-Industry Value Creation and Trusted Data Collaboration to Realize Data Spaces
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.
Executive Insights for the Data & AI Era
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.
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
Redefining leadership decisions in the AI age
Fujitsu's Leadership in the Age of AI
Transforming Leadership: Navigating a Net Positive Future with AI
Yamato Group's SST and Fujitsu: Collaborating for Resilient and Net Positive Logistics
Solving the "Tariff Puzzle" in an era of uncertainty with data & AI-driven supply chains
AI in action: Cross-industry collaboration and real-world impact
Working with agentic AI and its potential risks
People and AI: Fujitsu's vision for the future of business
Unlocking continuous growth: "Data & AI-native" business process transformation
A Future Strategy Powered by AI and Net Positive Thinking
AI Agents and the Transformation of the Financial Industry
Fujitsu Tackles Proprietary AI: AI + World-Leading Tech
This report summarizes a technology strategy briefing held in December 2024, focusing on cutting-edge technologies and their business applications. Key areas covered include: generative AI frameworks, multi-agent AI systems, and quantum computing. Specific use cases illustrating the practical business applications of these technologies were presented.
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.
Consulting by Fujitsu
News
- Press Release Fujitsu spotlights dynamic transformation for business in an AI era as the core theme for the Fujitsu Technology and Service Vision 2026
- Press Release DUNLOP and Fujitsu Reduce Tire Structural Analysis Time by Approximately 90% Using AI
- Press Release Fujitsu Launches AI-Powered Service to Analyze Non-Financial Disclosure and Enhance Corporate Value
- Press briefing Management Vision 2035
- Press Release Fujitsu signs strategic partnership with Anthropic
- Press Release Fujitsu to accelerate AI transformation in Japan's enterprise sector through collaboration with OpenAI
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