Fujitsu Technology and Service Vision 2025 (Part III) AI in action: Cross-industry collaboration and real-world impact

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:

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.

Toyota Material Handling Japan is a division of Toyota Industries Corporation that provides industrial vehicles and logistics systems. In collaboration with Fujitsu, they have developed Driving Video AI Analysis, which evaluates safe driving of forklift and operator movements by using AI.

AI that has learned how forklifts turn and move, as well as the required safety processes operators must follow, analyzes and automatically detect unsafe operations, such as sudden turns. Driving Video AI Analysis analyzes the movement of operators, displaying the driving performance of each operator as a report card to realize safe and secure working environments.

Today's complex societal issues are too vast for any single company to tackle alone. At Fujitsu, we firmly believe that true solutions emerge from robust cross-industry partnerships. This principle is central to our FT&SV 2025 vision, which outlines a future where people and AI collaboratively address challenges within dynamic, emerging ecosystems.

Through Fujitsu Uvance, our dedicated business model for societal impact, we actively promote data collaboration with a diverse array of partners.

In May 2024, Yamato Holdings established a new company, Sustainable Shared Transport (SST), to improve logistics efficiency across the transport industry.

This initiative represents a crucial effort to address the sector's multifaceted challenges, from labor shortages to environmental impact reduction. Shared transportation and distribution are gaining traction as key strategies for building more sustainable supply chains.

However, various systems, standards and business practices presented a significant challenge.
SST began operations with an open platform for shared transport, built upon a data-sharing system co-developed with Fujitsu.

This platform facilitates joint transport and delivery, fosters sustainable regional logistics, and offers transport services primarily using standard pallets.

By matching information between shippers and logistics companies, it significantly improves loading rates and alleviates driver burden.

By enabling seamless data linkage across various industries and companies, the system promotes collaborative efforts for greater logistics efficiency. Fujitsu's blockchain technology and cybersecurity expertise ensure this data exchange remains secure.