
Hitachi has been working to improve productivity through AI utilization, software modernization, and enhanced customer service under its strategic alliance with Google Cloud. Now expanding into the OT (Operational Technology) domain, Hitachi will develop and utilize AI agents to accelerate operational transformation for frontline workers in social infrastructure sectors such as energy, railways, and manufacturing lines.
Gemini, a multimodal AI, is designed to simultaneously understand and process various formats—text, images, audio, and video—making it highly compatible with frontline tasks that require accurate handling of physical information such as products and equipment. By utilizing Gemini Enterprise, even users without specialized knowledge can create AI agents to execute specific tasks via no-code interfaces, streamlining workflows.
Hitachi has established the “Agent Factory” as its AI agent development environment. By leveraging Google Cloud technology, Hitachi will enhance this environment to enable simpler and faster development of AI agents tailored to specific on-site tasks and applications.
This can be achieved by leveraging Google Cloud’s advanced AI technologies together with Hitachi’s deep domain knowledge and data governance expertise cultivated over many years. Even complex on-site processes and highly confidential data can be safely utilized, making it easier to apply AI to frontline workers’ tasks—an area where AI adoption has traditionally been challenging. Notably, applying Gemini to frontline operations represents a highly advanced initiative.
Going forward, Hitachi will adopt a “Customer Zero” approach, focusing first on internal implementation. The company will work to create a variety of use cases within the Hitachi Group using Google Cloud, while also promoting the democratization of AI agents—empowering employees to develop solutions themselves using no-code tools, based on the expertise gained through these efforts. In particular, Hitachi’s subsidiary, GlobalLogic Inc. (“GlobalLogic”), is a key global partner of Google Cloud and a launch partner for Gemini Enterprise, actively driving the deployment and adoption of Gemini Enterprise both internally and externally. Hitachi will accelerate value creation by integrating GlobalLogic’s technology and expertise. Through the democratization of AI agents, Hitachi aims to foster an environment where new ideas for technology and operational improvements can emerge from the ground up. Hitachi will then offer these proven outcomes and field-driven innovations to customers facing similar challenges, contributing to the enhanced sustainability and safety of social infrastructure.
Jun Abe, Executive Vice President of Hitachi, Ltd., General Manager of the Digital Systems & Services Division, stated, “Hitachi views AI not merely as a tool, but as a partner that extends human capabilities. We are very pleased that our strategic alliance with Google Cloud has steadily advanced employee productivity and accelerated innovation. Looking ahead, we aim to extend these achievements into the OT domain, creating frontline environments where workers can collaborate with AI, stay energized, and focus on creative, high-value tasks. Under our Inspire 2027 vision, Hitachi has positioned the evolution of Lumada to version 3.0—driven by the fusion of domain knowledge and AI—as a key enabler of a ‘Harmonized Society.’ This initiative, leveraging advanced AI technologies from Google Cloud such as Gemini and Gemini Enterprise alongside Hitachi’s deep domain expertise, is a symbolic step toward that goal. As One Hitachi, we will continue working together across the group to fully harness the power of AI and build a better future.”
Additionally, Hiroyuki Koike, Managing Director, Customer Engineering, Google Cloud Japan states, “To solve complex business challenges with generative AI, companies need advanced technology and the expertise to successfully implement it across the organization. Through our strategic partnership with Hitachi, we will provide customers with the necessary technologies and resources to optimally build, implement, and manage every phase of their generative AI projects.”
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