Global Fujitsu Distinguished Engineer
Kazuki Nakata
Message
Through their use, AI agents hold enormous potential to fundamentally transform organizational business processes.
By leveraging my knowledge of data engineering and data science, particularly in parallel and distributed processing, I provide consistent support from building an AI-ready data infrastructure to verifying and deploying AI. Through modeling (ontology) of graph data and similar data formats that keep the meaningful relationships between data, which can then be used consistently in business applications, we will maximize customers' usage of AI agents and drive business transformation in the AI era.
Achievement
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Palantir Certified Engineer
Received the highest rating in both data engineering and data science from Palantir Technologies, the industry's leading provider of data and AI platforms. Participating in DevCon2, the global conference and hackathon hosted by Palantir, I showcased Fujitsu’s data technologies as one of the company’s top engineers. Also, I have strong relationships with data engineers and data scientists worldwide. -
Commitment to Data Modeling With Embedded Generative AI, and Application Development (Since 2024)
- Engaged in information dissemination, awareness-raising, and educational activities related to generative AI, including lectures and seminars:
- Instructor of data and generative AI at the Japan Maritime Self-Defense Force's 4th Service School
- Speaker at a seminar about making use of generative AI in the entertainment sector, during a Fujitsu-hosted eSports event
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Other Achievements
- Top prize winner in the Tokyo Governor's Cup Open Data Hackathon
- Winner of the NEDO Supply Chain Data Challenge
Value Creation
Integrating expertise in data engineering, data analytics, predictive AI, and generative AI, I led our customers' transformation to data-driven management. Leveraging Fujitsu Data Intelligence PaaS, I developed packages (offerings) to provide everything from data pipelines to business applications in comprehensive offerings, contributing significantly to the management innovation of many customers. In particular, the package for the manufacturing industry encompasses the core business operations in manufacturing, such as supply chain management (SCM) and engineering chain management (ECM).
<Customer Case Examples>
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Panasonic Electric Works
I joined the company-wide SCM data-driven transformation project as a data engineer/data scientist. Through a business-driven approach to data modeling of the entire supply chain management utilizing ontologies on Fujitsu Data Intelligence PaaS, we achieved company-wide data integration in just three months.
Furthermore, in collaboration with Fujitsu Research, I built Fujitsu Kozuchi AutoML, an architecture for simultaneous large-scale model generation utilizing parallel distributed processing. We successfully automated the creation of demand forecasting models for more than hundreds of parts, making this the first commercial deployment of Kozuchi. -
Heavy industry company
Through Fujitsu Data Intelligence PaaS deployment in the domain of engineering chain management, I successfully completed the integration of key manufacturing-related data in one month, contributing to a significant improvement in the company's operational efficiency.
Recently, I've been involved in building AI agents based on various LLMs, including Fujitsu's Japanese-specialized LLM "Takane," and constructing an ecosystem linked by APIs. I'm also promoting proposals to deploy AI agents tailored for manufacturing customers.