Mao Terashima

Message

My approach on the front lines of business is twofold, creating value from scratch (we say "from zero to one" in Japanese) and developing human resources. Always working at the forefront in project promotion, I take the lead in supporting business growth while sincerely addressing customer issues. I'm also committed to training data and AI engineers through the development of educational materials and an educational platform, with the aim of raising the engineering skills related to data and AI of all users inside and outside Fujitsu. Through this two-pronged approach, we will continue to provide new value to customers by transforming the technological capabilities of the entire industry.

Achievements

Activity Results
- Reported research findings in the field of digital signal processing in the Journal of Institute of Electronics, Information and Communication Engineers (IEICE), Acoustical Science and Technology, and other publications, and received four awards from IEICE.
- Won multiple prizes for demonstrating innovative ideas at the Tokyo Governor’s Cup Open Data Hackathon and other events.
In addition, my activity reports have been disseminated through ITmedia and other media outlets.
https://www.itmedia.co.jp/business/articles/2405/30/news044.html
https://www.fujitsu.com/jp/microsite/fujitsutransformationnews/2023-03-24/01/

Value Creation

Leading Fujitsu's group of advanced technology engineers, I've contributed to the launch of new services by making full use of digital signal processing technology and data analytics at the forefront of the data and AI business.

Supported the resolution of customers' issues
I created a development scheme to seamlessly implement the entire process from problem identification to MVP (Minimum Viable Product) development, operation, and maintenance three times faster than the conventional method. This helped customers transform their business processes through Data Intelligence PaaS deployment.
Track record of over 30 projects at more than 10 companies across sectors and industries (examples of use cases):
　(1) Transformation of MR operations utilizing healthcare reference database
　(2) Reduction of excess inventory and shortages through data integration in the manufacturing supply chain
　(3) Early detection of quality risks in the automotive industry
Trained data and AI engineers
Aiming to improve technical skills across the industry, I developed the ""Fast-Track Expertise Path"" educational platform for data and AI engineers, which has helped Fujitsu engineers improve their technical skills and promote adoption of data and AI utilization at customer companies.

-LinkedIn-

Return to list