Achieving Success with AI Training in Hikone City
AndDot Inc. has made waves in the realms of AI by achieving a remarkable milestone: 100% satisfaction from participants in their recent training program. This program was aimed at enhancing the efficiency and productivity of municipal employees in Hikone City, located within Shiga Prefecture. The initiative was part of a broader effort to boost AI literacy among local government staff amidst the pressing challenges posed by an aging population and varied administrative needs.
Background of the Training Program
With local municipalities across Japan grappling with labor shortages and the increasing complexity of administrative tasks, embracing digital transformation (DX) is becoming increasingly urgent. Generative AI has emerged as a powerful tool capable of automating tasks such as document creation, summarization, and idea generation, thereby significantly streamlining operations. However, to fully harness the potential of this technology, it is essential for all employees to acquire fundamental knowledge and skills.
In light of these challenges, the City of Hikone has embarked on a mission to elevate its employees' AI literacy and improve operational efficiency through advanced training programs. AndDot Inc., headquartered in Shibuya, Tokyo, was chosen to deliver these training sessions online to 155 employees from Hikone City and its surrounding municipalities.
Training Outcomes: Metrics that Matter
Following the training, an insightful survey was conducted among the participants to assess their experiences and satisfaction. Out of 37 respondents, an outstanding 29.7% reported being 'very satisfied,' while 67.6% indicated they were 'satisfied,' culminating in a 100% satisfaction rating across the board.
In terms of the program's effectiveness, over 73% of participants believed they had achieved their objectives, signaling the program's high level of efficacy. When asked about how they intend to utilize what they learned in their everyday work, enthusiastic and specific responses flowed in, showcasing a clear intent to integrate AI into their tasks:
- - 89.2% expressed interest in applying generative AI for document generation, such as emails and project proposals.
- - 70.3% indicated a desire to use AI for brainstorming and idea formulation.
- - 64.9% were interested in employing AI for rewriting tasks, including translations and summaries.
These statistics reflect not only the practical nature of the training but also its potential to incite real action among employees.
Voices of the Participants: A Transformative Experience
The feedback provided by participants highlighted the transformative impact of the training. Many expressed their newfound enthusiasm for implementing generative AI in their work:
- - “This training was incredibly useful, and I believe that mastering these skills will become a significant asset in my career.”
- - “My motivation to utilize generative AI in my work has increased tremendously.”
- - “I’ve developed a growing curiosity about generative AI and have even purchased books to deepen my understanding.”
Looking Ahead: Plans for Future Training Programs
Buoyed by the success in Hikone City, AndDot Inc. aims to expand its offerings of practical generative AI training programs to address the challenges faced by municipalities nationwide. The company is committed to providing tailored solutions that cater to the unique characteristics and needs of various local governments, thereby enhancing the quality of administrative services and supporting sustainable organizational operations.
About Hikone City
- - Mayor: Kazunari Tajima
- - Location: 522-8501, 4-2 Motomachi, Hikone City, Shiga Prefecture
- - Website: Hikone City
About AndDot Inc.
- - Company Name: AndDot Inc.
- - CEO: Yuta Ibaraki
- - Headquarters: 1-16-6 Dogenzaka, Shibuya-ku, Tokyo, 150-0043, Japan
- - Business Focus: AI solutions and related services
- - Website: AndDot
Contact Information
AndDot’s commitment to enhancing governmental efficiency through creative AI solutions marks a significant step towards modernization in the public sector.