Fujitsu Technology and Service Vision 2025 (Part III)AI in action: Cross-industry collaboration and real-world impact
Article | 2025-09-05
4 minute read
Fujitsu's Technology and Service Vision 2025 continues to offer profound insights. This annual publication delves into the transformative power of evolving technologies, sharing compelling narratives on how they are actively shaping the future of business and society.
In this article, we highlight two inspiring customer journeys. These stories powerfully illustrate how artificial intelligence empowers organizations to overcome challenges, underscoring the vital role of cross-industry collaboration in building a better world.
End-to-end AI support from planning to implementation and utilization
As artificial intelligence continues its rapid evolution, we gain an increasing ability to delegate routine tasks to AI, freeing up human potential for more creative and strategic work.
Our Fujitsu Technology and Service Vision 2025 (FT&SV 2025) paints a clear picture of this future: a workplace where people and AI agents (*1) collaborate seamlessly, each leveraging their unique strengths to significantly boost productivity.
Naturally, transforming this vision into reality requires proactive steps from business leaders. They must initiate and champion the adoption of AI, following a structured approach that typically includes:
1. Target setting
2. Data preparation
3. Introduction
4. AI utilization and continuous learning
For Step 1, we're here to guide you in setting the optimal target, proposing the most suitable AI technology — whether a Large Language Model, a Small Language Model, or another solution.
In Steps 2 and 3, our support extends to helping you transform your existing data into the precise format AI needs for effective use.
Finally, for Step 4, we provide comprehensive assistance to ensure you maximize AI's potential, securely implementing agentic AI within your environment.
*1）AI agent: A system that uses AI technologies such as Large-scale Language Models and machine learning to autonomously make decisions and execute tasks or workflows.
