Hitachi Partners with Google Cloud to Enhance AI Solutions

In a significant move that underscores the burgeoning role of artificial intelligence in modern business, Hitachi has announced a strategic partnership with Google Cloud. The alliance is poised to fuel innovation and amplify enterprise productivity by harnessing the power of generative AI. At the heart of this venture is the formation of a new business unit within Hitachi, tasked with exploiting AI models, notably Gemini and Vertex AI, to conquer industry-specific hurdles. This initiative is an integral part of Hitachi’s digital blueprint, Lumada, which already blends data analytics with AI in its quest to transform enterprises digitally. The combined expertise of GlobalLogic, a seasoned subsidiary of Hitachi with considerable digital engineering prowess, will spearhead the Hitachi Google Cloud Business Unit and the Google Cloud Center of Excellence (CoE).

Scaled Collaboration and Expert Training

Building on a robust 15-year history of cooperation, GlobalLogic and Google Cloud are expanding their partnership with a heightened objective: to escalate the deployment of Google Cloud technologies across a broader spectrum of enterprise clients. Recognizing the critical role of human expertise in the optimal utilization of technology, the alliance places a high priority on education through Hitachi’s GenAI Professional training program. This program aspires to inculcate an advanced understanding of Google Cloud’s AI offerings among professionals, thus deepening the talent pool equipped to navigate the AI landscape within corporate settings.

This transformative collaboration envisions the proliferation of generative AI solutions particularly designed for software modernization and elevated customer service. Hitachi anticipates leveraging the prowess of Gemini models to rejuvenate outdated software infrastructures while integrating Google Cloud Contact Center AI to enrich the customer service experience. Furthermore, Hitachi’s Virtual Storage Platform One is set to amalgamate with these AI innovations, creating a hybrid cloud ecosystem that stands ready to embrace generative AI applications to their fullest potential.

Integrated Sales and Engineering Efforts

Hitachi and Google Cloud are aligning efforts, unifying their sales, marketing, and engineering might to advance AI project deployments for clients. Their collaboration has set an ambitious target: training over 50,000 professionals in Google Cloud’s AI tech, highlighting Hitachi’s dedication to a skilled workforce. Both leaders herald this partnership: Hitachi’s EVP Toshiaki Tokunaga foresees it unleashing Google Cloud’s AI for innovation and boosting productivity, Nitesh Banga of GlobalLogic sees it as a strategic move for fluid solution delivery and revenue acceleration, Google Cloud CEO Thomas Kurian emphasizes its commitment to excellence in AI projects.

Explore more

Trend Analysis: Maritime Data Quality and Digitalization

The global shipping industry is currently grappling with a paradox where massive investments in high-end software often result in negligible improvements to the bottom line because the underlying data is essentially unreadable. For years, the narrative around maritime progress has been dominated by the allure of autonomous hulls and hyper-intelligent algorithms, yet the reality on the bridge and in the

Trend Analysis: AI Agents in ERP Workflows

The fundamental nature of enterprise resource planning is undergoing a radical transformation as the age of the passive data repository gives way to a dynamic environment where autonomous agents manage the heaviest administrative burdens. Businesses are no longer content with software that merely records what has happened; they now demand systems that anticipate needs and execute complex tasks with minimal

Why Is Finance Moving Business Central Reporting to Excel?

Finance leaders today are discovering that the rigid architecture of an enterprise resource planning system often acts more as a cage for their data than a springboard for strategic insight. While Microsoft Dynamics 365 Business Central serves as a formidable engine for transaction processing, many organizations are intentionally migrating their primary reporting workflows toward Microsoft Excel. This transition represents a

Dynamics GP to Business Central Migration – Review

Maintaining an aging on-premise ERP system in 2026 feels increasingly like trying to navigate a modern high-speed railway using a vintage steam engine’s schematics. For decades, Microsoft Dynamics GP, formerly known as Great Plains, served as the bedrock for mid-market American enterprises, providing a sturdy, if rigid, framework for accounting and inventory management. However, as the industry moves toward 2029—the

Why Use Statistical Accounts in Dynamics 365 Business Central?

Managing a modern enterprise requires more than just tracking the movement of dollars and cents across various general ledger accounts during a fiscal period. Financial clarity often depends on non-monetary metrics like employee headcount, physical floor space, or the total volume of customer interactions to provide context for the raw numbers. These metrics, known as statistical accounts, allow controllers to