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Crossover Talks Taipei: Looking into 2024 Enterprise AI Application

As we approach 2024, it is undeniable that businesses leveraging AI to enhance operational resilience and growth has become an irreversible trend. Profet AI, a leading AI software company in the manufacturing industry, recently held the Crossover Talks, Taipei finale - "AI Innovation in Manufacturing." The event featured experts from the Department of Information Management, National Taiwan University, the Taiwan Artificial Intelligence Association, as well as key industry leaders such as Kinsus, Acon-Holding, and BenQ Materials, which are major PCB, connector, and material manufacturers, were invited to share their experiences and insights. To successfully implement AI in an enterprise, it is important to start with the end in mind during the planning process and closely align the objectives with company performance to demonstrate its value. Simultaneously, algorithms should not become bottlenecks. Instead, platforms and tools should be utilized to empower talent and eliminate information asymmetry, making AI the starting point for effective management. Most crucially, the governance of AI in enterprises is an inevitable path. It requires taking the brave first step, truly putting AI into action.

▲與會講者嘉賓合照(由左至右:Profet AI 全球業務總經理 余常任、連展投控總經理室資深特助 郭迺文、TPCA 智慧製造召集人暨現任景碩科技資訊長 顏景芳、台大資管系教授 李家岩、Profet AI 執行長 黃建豪、台灣人工智慧協會秘書長  謝禮宗、明基材料 智慧應用開發部經理 江長諭)

▲Group photo of guest speakers (from left to right: General Manager of Global Sales of Profet AI, Jonathan Yu; Senior Special Assistant, General Manager's Office of Acon-Holding, Grand Kuo; TPCA Smart Manufacturing Convener and current Chief Information Officer of Kinsus, Roger Yan; Professor from the Department of Information Management, NTU, Chia Yen Lee; Co-founder and CEO of Profet AI, Jerry Huang, Secretary General of Taiwan Artificial Intelligence Association, Howard Hsieh; Manager of Smart Application Development Department, BenQ Materials, Jason Chiang)


Jerry Huang, Co-founder and CEO of Profet AI, noted that as the company continues its global strategy, Profet AI is contemplating how to leverage Taiwan's manufacturing-focused background. They aim to create a dynamic exchange platform of digital transformation that crosses industries, disciplines, and generations, thereby consolidating the strength of Taiwan's manufacturing sector to achieve mutual betterment and growth. This vision led to the inception of the Crossover Talks series forums. The forum has been held both domestically and internationally this year, with visits to various regions including Vietnam, Malaysia, Thailand, Mainland China, Japan, and Singapore. In the finale of this year's series of forums, Experts such as Professor of the Department of Information Management, NTU, Chia Yen Lee, TPCA Smart Manufacturing Convener and current Chief Information Officer of Kinsus, Roger Yen, Secretary General of Taiwan Artificial Intelligence Association, Howard Hsieh, General Manager's Office of Acon-Holding, Grand Kuo, and Smart Application Development Department, BenQ Materials, Jason Chiang were among the experts gathered to explore the winning mindset of AI application in enterprises.


The market is ever-changing, and digital transformation is growing without stopping.

Effective AI tools can help businesses eliminate the silos of digital transformation, avoid algorithmic bottlenecks, and create high value.


The advent of Generative AI in 2023 has successfully opened the era of AI, thereby accelerating the pace at which enterprises adopt AI governance to maintain competitive advantage. Dr. Chia Yen Lee of NTU clearly stated that the growth of digital transformation will not cease. The data predicts that the size of the digital transformation market will increase from US$535 billion in 2022 to US$3,375 billion in 2032, with a Compound Annual Growth Rate (CAGR) of 20% to 26.7%.* In the case of the connector industry, Grand Kuo from Acon-Holding pointed out the challenges of rapid market changes and increasingly stringent quality requirements from customers. This has prompted the company to improve its management strategies and begin adopting AI to enhance production efficiency and product accuracy, meet high market standards, and maintain competitiveness.


For AI applications to be effective in enterprises, Dr. Chia Yen Lee reminds us that the introduction of AI will bring about comprehensive changes in both upstream and downstream processes. The primary strategy for digital transformation lies in initiating the process from within the organization by improving internal processes, enhancing data quality, and promoting inclusive AI services and applications to encourage more online participation, thereby reducing the issues of silos and information asymmetry within the company. In addition, enterprises should also adopt a mindset of data science and construct the "pillar" of AI enterprise by undertaking projects. He added that effective AI tools can play an important role in backing AI applications in enterprises.


Secretary General of Taiwan Artificial Intelligence Association, Howard Hsieh, stated that when enterprises apply AI, algorithms should not become bottlenecks. Instead, they should choose the right tools to assist them. By utilizing the right tools, enterprises can embark on the correct path of AI and continuously optimize processes to kick-start the management journey of AI. Chief Information Officer of Kinsus, Roger Yen, who has long advocated for the smart manufacturing platform strategy, emphasized that smaller enterprises should join the platform and collaborate to collectively address challenges. Providing platform tools extensively to users and creating value through these tools is the proactive direction of smart manufacturing.



Key Principles for Strengthening AI Organizational Culture -

AI investment "begins with the end in mind", establishes a standardized information architecture, masters digital talent, and provides support to the executors.


Several speakers all emphasized the importance of establishing an organizational culture around AI. Roger Yen mentioned that in the process of investing in AI, enterprises must refocus on their core business objectives. This means that when planning and implementing AI, enterprises must start with the end in mind, carefully considering the purpose of AI adoption and how it aligns with long-term business goals, and setting a clear return on investment (ROI) for each investment. More importantly, managers or planners should share the results with users. This will enhance users' satisfaction with the tool and create greater value for the company, thus establishing a positive feedback cycle.


Howard Hsieh also echoed that, when information leaders embark on digital transformation, the primary task is to establish a standardized information architecture, progressing from system integration (SI) to business intelligence (BI) and extending to artificial intelligence (AI). The key thereafter lies in making sure that initial cases (from 0 to 1) are recognized and ensuring that these success stories can be widely replicated (from 1 to n). In the process of promoting AI, it is crucial to adopt a strategy of "leveraging strength". This means that there must be a "Carrot and Stick" to closely link the quantification of goals with key performance indicators (KPIs) of the company to obtain support and attention from management.


Grand Kuo metaphorically refers to digital transformation as "growing up," emphasizing that it is a comprehensive shift in mindset. Therefore, the implementation of AI requires the mobilization of all personnel and mutual emulation in order to effectively replicate and propagate successful experiences to other sites. Acon utilizes user-friendly tools to train seed instructors. To date, there are already 108 digital talents distributed in the fields of production, sales, human resources, and materials. The goal is to train thousands of digital players within 3 years. Kuo stressed the vital role of innovative digital talents in developing a work culture and language based on AI data, which is necessary to drive business growth.

Jason Chiang, who serves as both a promoter and an executor, also shared his insights. He stated that when enterprises implement AI, they must have a clear understanding of their role positioning. The selection of tools and methods for AI implementation will vary depending on the roles involved. When discussing ROI, it is important to have in-depth discussions with the promoters. As promoters, it is necessary to provide more support and understanding to the executors. Promoting AI is a challenging task, so it is crucial to ensure that the executors feel reassured.



Both enterprises and employees must bravely embark on the path of AI.


Andrew Tseng, Customer Success Director of Profet AI, also shared an insightful report at the meeting for the first time, detailing the company's experience in implementing across 14 industries and over 160 large-scale manufacturing clients. Tseng pointed out that the company consulted domain users who have obtained AI capabilities for their perspectives on the practicality of AI. The results show that over 70% of domain users indicate that AI not only assists with their current work but also provides clear direction for their AI application development path in the coming years. Interviewees generally believe that the greatest advantage of AI lies in its ability to handle multidimensional and complex data, followed by its ability to transform domain knowledge and experience into data and form models. Moreover, AI systems can perform data analysis around the clock, allowing users to quickly obtain results and greatly improve work efficiency.


Tseng suggests that when designing AI implementation strategies, enterprises should choose suitable AI solutions based on their status of digitalization, data governance, and technological utilization. During the process, it is important to fully utilize the company's internal resources, such as the quality management team or the digital transformation group, to ensure the smooth integration of AI. Furthermore, enterprises should also consider appropriate AI application scenarios and utilize No-code platforms and consulting services. Taking the brave first step in implementing AI is essential for a clearer outlook on the development prospects of AI in businesses.


Grand Kuo also reminds us that in the long run, AI tools will not replace people's jobs. However, those skilled in AI could potentially replace those who don't use it, mirroring an inevitable trend. It's like how abacus proficiency, once prized for speed and technique, has now become largely overlooked in the digital age. This is the change of the times, and all enterprises and employees must adapt to this change. Those who are unwilling to embark on the path of AI at this moment may ultimately burn their bridges.




 
 

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