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AI Response Tips for Company Decision Makers

De-identification to ensure data security, processing inventory check prior to importing

About Profet AI Crossover Talks Core executives of manufacturing companies such as CIOs and decision makers were invited to conduct AI Q&A with Professor Chiayan Lee from Department of Information Management, National Taiwan University

Generative AI is taking the world by storm, forming a new wave of industrial revolution, which is game-changing on individual and industrial level. Companies should begin to proactively consider countermeasures. The first Crossover Talks event of the year, Profet AI specially invited more than 30 CIOs and decision-making executives that played key roles in the global manufacturing supply chain and whose total output value exceeded trillions. Professor Chia-Yen Lee from Department of Information Management, National Taiwan University, proceeded in the form of Ask Me Anything (AMA)to discuss how companies can utilize AI applications to solve problems. In the conference, Professor Lee showcased ChatGPT through role-playing and simulations, and remind the companies to get de-identified when using the technology in order to secure corporate data. In addition, Professor Lee also emphasized that managers should consider whether restructuring the process is suited for AI implementation, whether it caters to the company need in future years if not months. This would allow the company more resiliency to the booms and recessions of the economic cycle.

▲Professor Chia-Yen Lee (left) from Department of Information Management, National Taiwan University, and Jonathan Yu (right), Sales Director of Profet AI, had a pleasant AMA session with the guests

Profet AI, which has engaged in the development in the AI application market for the manufacturing industry in-depth, began to hold Crossover Talks, a series of forums, this year, with the aim of creating a cross-industry, cross-generation, and interdisciplinary digital transformation communication platform. Recently, due to the trending topic of generative AI making a transformational change in companies and industries, more than 30 CIOs and decision makers from EMS, wafer foundry, IC design, textile, optoelectronics, glass, plastics among other industries were invited to take leadership in consolidating corporate technology strategy at the first annual event. Along with Department of Information Management of National Taiwan University professor and Profet AI product development and industrial development consultant Chia-Yen Lee, the guests jointly discussed how to use AI can be used to strengthen labor productivity and corporate competitiveness.

Creating a new account to de-identify and convert IP to better conduct role-plays and simulations Ensuring corporate data security

Since it was previously reported that Samsung employees accidentally leaked the company's internal data via using ChatGPT, it raised doubts about corporate use of generative AI. Regarding the issue of corporate data security, Professor Lee reminded that prior to using ChatGPT, companies can create new accounts and IPs can also be swapped to prevent getting identified. In addition, while engaging question-and-answer with ChatGPT, role-plays and simulations can be used. To chat with ChatGPT, rather than providing corporate data, specific scenario or hypothetical data distribution should be provided.

Professor Lee also shared the experience of ChatGPT thought process provided by his students. Corporate decision makers are encouraged to assign tasks for personnel to ChatGPT. This kind of training also encourage people to think about whether they can answer better than ChatGPT, thus training people in using AI applications.

Decision makers should have the vision to improve the whole operating process

Checking data inventory and strategic inventory, and selecting the more valuable projects

Making the use of AI applications a habit in the company is also a focus of the on-site participants. Professor Lee said that if AI is seen as a tool, it is merely an application to help increase productivity. However, as the overseer of the company's IT strategy, the CIO, with limited resources, must select and implement the projects that are truly valuable. Therefore it is necessary to conduct an inventory check.

Professor Lee pointed out two things to pay close attention to during the inventory check. The first is checking data inventory and finding out if the project is feasible and whether data or database design have flaws. Upon database implementation, with years of use, it is necessary to re-examine whether the original design is applicable, such as whether the ER-Model needs to be adjusted. This issue would affect data collection and accuracy. The second item is checking strategic inventory CIO should examine which AI projects are related to the company's long-term strategic or technical roadmap. An AI project is not an isolated case, rather the entire process should be taken into consideration. CIO should look into the inventory process in totality and make improvements. For an example, in the early defect detection of PCB, technicians needed to manually inspect with human eye. However, with the introduction of AOI (Automatic Optical Inspection), the company reduced the labor cost of technicians. At first, one may think AI is here to replace labor, but the problem is only on a surface level. Actually, this is a total process restructure. Upon implementing AOI, the procedures before and after the process are bound to change, which is what CIO should to aware of. Professor Lee suggested that CIO should have the vision to improve the whole process, not just from an isolated case.

In the face of economic instability, what should businesses do? Professor Lee said that it is not easy for decision makers to align themselves to the economic cycle. In the peak season, one can ponder on the AI technologies that will be required in the off-season. Conversely, in the off-season, one can consider the leading AI technologies one may require in the peak season. Developing AI takes time; don't turn to it only when the economy is at a low point. Companies should prepare the necessary tools in advance to shorten the development time. Through the pilot run method, start a small sample to test whether the technology is feasible. Only in this fashion can the lead time of software development or design can effectively be shortened. Professor Lee added that preparing in advance is not limited to the production line; the HR department can also be affected by the economy. Companies can use AI technology to predict the retention rate of employees, and take corresponding measures during an unstable economy. This allows the companies to deal with the challenges that may arise in the future.

Profet AI assists BenQ Materials to successfully introduce AI applications

▲Forster Lin, co-founder and chief technology officer of Profet AI

At the same time, Forster Lin, co-founder and chief technology officer of Profet AI, said that the Profet AI AutoML virtual data scientist platform already has more than 100 customers, one of them has more than 500 internal users, and more than 3,500 prediction models have been established on the platform. In addition to providing a world-class software platform, Profet AI also assists customers in establishing AI teams, training, topic selection methodology, systematic project counseling and tracking, and performance presentation, and establishes AI tool expansion and standardized import services. So far, the number of trainees has exceeded 1,500. In the future, Profet AI will continue to closely connect with the industry, provide high-quality products, and assist customers in implementing more advanced AI applications.



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