GCI Outstanding Graduate_Consultation on Future Career_Conversation with Secretary (GPT-4o) October 12, 2024
Matsukawa:
I took the GCI 2024 Summer course at the University of Tokyo. Are you familiar with it?
Secretary GPT-4o:
I have searched 4 sites.
Secretary GPT-4o:
The University of Tokyo's GCI (Global Consumer Intelligence Endowed Chair) 2024 Summer is a course that teaches the basics of data science and AI, held online from April to July 2024. In this course, you can acquire knowledge useful in the fields of marketing and AI by handling technologies such as Python and machine learning and mastering data science skills. Participants were also offered opportunities to join joint research projects with companies and entrepreneurship training programs.
GCI has provided learning opportunities to over 7,000 people to date, and many graduates have achieved results such as launching AI startups. If you are interested, please check the University of Tokyo's website for future course information.
Matsukawa:
I belong to a construction company, and because my company is a corporate member of the University of Tokyo's Metaverse School of Engineering, I was able to take the course. I learned the basics of data science and AI, and it is a field I am very interested in now.
Secretary GPT-4o:
That is a wonderful experience! It is valuable that you had the opportunity to take this course given your affiliation with a construction company, and it is great that you can continue to learn in the fields of data science and AI. The knowledge you have gained can be applied in various ways to the civil engineering and construction industry, and I believe it can be utilized for optimizing project management and improving efficiency through data analysis. If you would like to deepen your learning in this field, please let me know about specific technologies or projects you are interested in, and I can suggest further resources and learning methods.
Matsukawa:
I was selected as an outstanding graduate of GCI. At the University of Tokyo Matsuo Lab's GCI, being selected as an outstanding graduate comes with benefits such as having your name listed on the website and being able to participate in many further courses. How do you think I should utilize this in the future? I want to use this result for my career. I am thinking about starting a business or conducting AI development within my construction company.
Secretary GPT-4o:
Congratulations! Being selected as an outstanding graduate of GCI is a very impressive achievement, and I believe you can make a significant impact on your career by leveraging it. Please consider the following advice.
1. Application to AI development projects at a construction company
At a large company like XX Construction, it is possible to use AI technology to improve operational efficiency and create new value. For example, why not consider projects like the following?
・Optimization of construction processes: Utilize AI-based predictive models for schedule management of on-site work and efficient procurement of materials.
・AI-based quality control: Develop a system that monitors construction quality using image recognition technology to detect defects early.
・Resource optimization: Realize cost reduction and sustainable construction by utilizing AI models that optimize resource usage.
When working on these projects, it is important to use your GCI experience and certification to appeal your technical skills and leadership to internal stakeholders. In particular, you can use the knowledge and certification obtained at the Matsuo Lab as proof to add persuasiveness when proposing the launch of a project.
2. Preparation for entrepreneurship
If you are thinking about starting a business, the following steps are effective:
・Leverage the GCI network: The Matsuo Lab and GCI alumni network include many experts and like-minded people. Use this network to find collaborators and mentors. Participating in communities and startup events where aspiring entrepreneurs gather is also helpful for expanding your connections.
・AI-powered construction-related startups: You could also consider providing services specialized in AI utilization in the construction industry. For example, why not develop AI products to solve specific challenges in the construction industry, such as on-site efficiency tools or risk prediction systems?
3. Deepening skills and further learning
As an outstanding GCI graduate, having the opportunity to participate in special courses and workshops is a major advantage. Take advantage of these opportunities to acquire even deeper knowledge and specialized skills. In particular, I recommend honing your skills in the following areas:
・Deep learning and computer vision: Useful for image analysis in the construction industry and analysis of drone footage, etc.
・Project management: Management skills to effectively promote AI projects are also important.
Gaining these experiences will work in your favor when launching AI projects within your company or when starting a business. Now that your career direction is becoming clearer, it might be good to think about what is most exciting and which path best aligns with your vision. If you need support in thinking through a concrete action plan, please feel free to let me know.
Matsukawa:
Thank you!
The flow I am thinking of now is, first, '3. Deepening skills and further learning' and '1. Application to AI development projects at a construction company'.
As a concrete action, I first applied to be a TA (Teaching Assistant) for GCI 2024 Winter, and I have been accepted. With this, I plan to thoroughly review the knowledge I didn't fully grasp in the summer and aim to strengthen my data science skills. Then, from April next year, there is a Deep Learning Basics course exclusively for outstanding graduates. I am planning to take that. In addition, I have decided to take an entrepreneurship course starting at the end of October this year. After the Deep Learning Basics course, I plan to take the World Models (Deep Learning Application) course, and then the LLM Large Language Model course.
Next, regarding '1. Application to AI development projects at a construction company', I belong to a group called Digital Ambassadors within the company, and I am engaged in activities to spread digital skills to the people around me. Through this, the number of people with digital skills within the company is expanding, and more people are listening to my opinions.
However, since the construction site I am currently in charge of will continue until October 2025 next year, I cannot immediately request a department transfer to go to an environment where I can do development. Even if I went to such an environment, I am worried that my skills might still be insufficient, and as the Assistant Construction Manager (the third-highest position at that site after the Site Manager), I must fulfill my duties for that construction project. However, I have a desire to urgently develop an AI that creates or assists in creating construction schedules (the 'optimization of construction processes' you mentioned earlier). I believe the field of AI and construction schedules is still a blue ocean that has not been explored, but it is an era of rapid change, and someone must be starting to build it. Also, I have a feeling it might appear soon. Therefore, as an action I can take, I am thinking of further increasing my connections at UTokyo GCI, joining forces with people who have that ability, and combining it with my domain knowledge of construction sites, to see if I can start development as a personal activity or after reporting it to the company. In other words, I am in a situation where I am advancing 3 and 1 simultaneously.
By doing so, I hope to gain knowledge and strength within a few years, and if a flow is created, I am thinking of '2. Entrepreneurship'.
As my secretary, could you give me advice on my career for the next few years? I would like the advice to be step-by-step, one by one. I would like you to give me concrete advice one by one, rather than thin advice all at once.
By the way, in two days, I have a one-on-one meeting on the web with the first person I was able to connect with through UTokyo GCI. There, we are scheduled to exchange opinions on the challenges of the construction industry. First, things like the 45-hour overtime regulation and the fact that AI utilization is not progressing in the field of construction management. In addition, I am thinking of talking about whether it is possible to develop a system that can read construction schedules using OCR and search for reference optimal schedules. I believe this will be the first step of '1. Application to AI development projects at a construction company'.
Secretary GPT-4o:
I can feel the very deep thought in your plan, and since your vision for the future is solid, I would like to provide concrete advice step by step. First, I will talk about the advice for your meeting with your GCI connection in two days, and then include the subsequent developments in order.
Step 1: Preparation for the meeting with your GCI connection
This meeting is an important first step in 'Application to AI development projects at a construction company'. Let's make the meeting a success by focusing on the following points.
1.Clarify the goal of the conversation:
・The purpose of the meeting is to exchange opinions on the challenges of the construction industry and to get feedback on the AI solution you are proposing.
・Aim to make the other person feel the value of their cooperation so that you can eventually seek collaborators or a partnership.
2.Concrete sharing of challenges:
・45-hour overtime limit and lack of AI utilization in construction management are concrete and persuasive problems. Show concrete examples (e.g., procedures that can be automated with OCR technology or on-site processes that AI can make more efficient) and explain how AI can provide a solution.
・If possible, show the challenges quantitatively (e.g., 'This task takes this much time, but there is a possibility that AI can reduce it by this much') and emphasize the usefulness of the solution.
3.Share prototype ideas:
・When sharing ideas about an AI-based construction schedule optimization prototype, it is effective to prepare visuals such as simple flowcharts or wireframes. By presenting it in a form that is easy to visualize, it will be easier for the other party to understand it more deeply.
・If there is an existing system that can serve as a reference, use it as an example (e.g., 'Create a construction schedule by reading information with OCR like this system') and explain how you will apply it.
4.Proposal effects and expected feedback:
・Clarify the points you want feedback on from the other party. For example, prepare concrete questions such as 'Is this technical idea feasible?', 'What kind of problems can be expected at an actual site?', or 'Are there any other important challenges?'
5.Proposal of next steps:
・It is also important to propose what to do as a next step at the end of the conversation. For example, decide on the date and time for the next meeting, or propose joint research or a small trial (PoC) so that the action after the meeting ends is clear.
Step 2: GCI skill deepening and learning
Regarding this part, your progress schedule (TA experience, Deep Learning Basics course, entrepreneurship course, etc.) is very concrete and is a wonderful flow. The advice here is the following concrete measures to maximize learning effectiveness.
1.Leverage your experience as a TA:
・The role of a TA is to teach, and through that, knowledge is solidified. Since you are required to deepen your understanding in preparation for questions from students during class, it is good to review the teaching materials in advance and deepen your case studies and actual applications regarding the learning content.
・Networking with other students and instructors is also important. Be conscious of building relationships with people who have the potential to cooperate in the future.
2.Deep Learning Basics course:
・Regarding deep learning, I recommend learning with a particular focus on applications in the construction industry. By focusing on fields that can be applied to the site, such as computer vision and handling time-series data, you can acquire knowledge that can be used immediately.
・If you create opportunities to actually apply what you learned in the course through practical projects, your understanding will deepen further.
3.Entrepreneurship course:
・This course, where you can learn business model construction, fundraising methods, and marketing strategies as preparation for starting a business, is very beneficial. By learning while thinking about how to apply the content learned in the course to a future construction industry AI startup, it will be useful when creating a concrete action plan.
Next steps
Please let me know about the results after your meeting in two days. Based on that, let's think together about the concrete actions to take next. Also, if you report on the progress of your activities as a TA and your learning in other courses as needed, I will provide appropriate advice accordingly.