All Sessions：

Generative AI is causing impacts across various industries worldwide. For Taiwan's industries, it represents a significant challenge, but also a rare opportunity. Currently, there are numerous open-source generative AI pre-trained models, platforms services and resources available. The ability to optimize open-source pre-trained models and tools will be crucial for unique competitive advantages. Intel AI Everywhere can accelerate innovation throughout the entire AI product development cycle. It allows you to maximize the value of your products and services, and enables easy deployment on both the cloud and edge, while maintaining information security and regulatory compliance. Through examples of popular applications like Stable Diffusion and Llama2 in generative AI, we will explore how the advantages of Intel's software and hardware architecture empower everyone to grasp the opportunities of generative AI. 生成式 AI 正在對全球各個產業帶來衝擊，對臺灣產業是巨大挑戰，更是難得的機遇. 目前有許多 open source 的生成式 AI 預訓練模型跟平台服務與資源，擁有優化開源預訓練模型與工具的能力將會是產生獨特競爭力的關鍵. Intel AI Everywhere 可以加速整個 AI 產品開發週期的創新, 讓你的產品與服務價值最大化, 並且可以方便的在受到資安保護且符合法規的條件下布署到 cloud 以及 edge. 透過最熱門的 stable diffusion 以及 llama2 等生成式 AI 應用實例的方享, 探討 Intel 軟硬體架構的優勢如何讓大家掌握生成式 AI 的機遇.

Combining GenAI with big data to create a competitive advantage for businesses is a prevailing trend today. However, both big data and GenAI are huge investments in IT resources. How to achieve optimal computing performance, storage SLA with sufficient capacity, minimal energy consumption, and minimal human intervention to meet the lowest TCO is a key challenge. In this agenda, we will unveil the best Big Data + GenAI framework and the green energy technologies used to simultaneously achieve highest efficiency, great energy savings with carbon reduction, and best TCO, while creating a competitive edge.

In the era of blooming AI everywhere, transforming the business by adopting AI capabilities has no longer planning but actions. In the session we’d talk about the leading edge technologies and solutions Supermicro can bring to the customers, not just to get high performance and best TCO but also to have the efficient and sustainable infrastructure.

The NVIDIA Grace Hopper Superchip Architecture is the first true heterogeneous accelerated platform for high-performance computing (HPC) and AI workloads. It accelerates applications with the strengths of both GPUs and CPUs while providing the simplest and most productive distributed heterogeneous programming model to date. Scientists and engineers can focus on solving the world’s most important problems. The NVIDIA Grace Hopper Superchip architecture brings together the groundbreaking performance of the NVIDIA Hopper GPU with the versatility of the NVIDIA Grace CPU, connected with a high bandwidth and memory coherent NVIDIA NVLink Chip-2-Chip (C2C) interconnect in a single superchip, and support for the new NVIDIA NVLink Switch System.

In the presentation, we will use NEUCHIPS's product as an example to show the challenges of creating cutting-edge energy-efficient AI chips. We will talk about the strategies and technologies used in the design process, highlighting impressive MLPerf benchmarks achievements in energy efficiency. Moreover, we'll discuss the future possibilities and trends in deep-learning recommendation systems and generative AI.

1. Why do the vast majority of IT experts and enterprise customers choose NetApp products? 2. NetApp can assist you in effortlessly integrating data into the cloud, simplifying data management, and optimizing your resource utilization. 3. Sharing the key points and benefits of implementing an AI architecture.

Generative AI is undoubtedly making dramatic changes in many industries and cultures, including architecture. It allows us to imagine more efficiently, produce a greater variety of design solutions, test the effectiveness of our solutions with simulations, and control the performance of buildings once they are constructed. For the first time, the evolution of AI technology has transformed from an external "productivity improvement" of design tools to an internal "replacement of thinking power"? Even touching the new boundary of "creative reinvention". As an architect who has always integrated creativity into practice, how should we make adjustments and respond to the intelligent design process? This talk intends to demonstrates various possibilities of how the architecture and design industry can effectively use visual generated AI to accelerate design creativity and motivate innovation. AI 人工智慧無疑將會對未來建築文化，產生多方面的重大改變。它將允許我們更有效率地進行 設計、生產更多樣的設計方案、以模擬測試我們方案的有效性，以及控制建築建造後的效能。 尤其是生成式人工智慧的急速發展，AI 技術演進第一次從一種外在設計工具的“生產力提升”， 轉變為一種內在的“思考力替代”？甚至觸碰到“創造力重塑”的新邊界。向來作為創意到實踐整 合的建築師，面對智能化的建築生產過程，該如何做出調整與因應？本演講分享將就建築與設 計產業如何有效運用圖像生成式 AI，加速設計創意與流程創新的各種可能。

While the value of generative AI and related applications is well-known, many fields have not fully leveraged AI due to challenges in implementation. The manufacturing industry, in particular, faces issues with OT/IT integration and data collection. In this presentation, we will share how ECV's expertise in building OT data collection platforms and leverage cloud services to accelerate service development, making it easier to implement AI solutions. 儘管生成式 AI 及其他相關應用的價值廣為人知，但由於落地的種種挑戰，仍有許多場域尚未利用 AI 創造效益，尤其是製造業更會遇到許多 OT/IT 整合問題及資料收集挑戰。此次演講我們將藉由 ECV 在 IoT 領域的專業與導入經驗，分享如何建構現場資料收集的平台，以及利用雲端服務加速服務發展，讓倡議者可以更好的將 AI 方案落地。

This presentation will sharing AUO's experience of digital transformation. We will present the smart green manufacturing services provided by AUO Digitech, including: AIoT, AOI and iAMHS. Through these technologies, the productivity of factory can be effectively improved.

How to leverage the robust resource flexibility of the cloud to enable a more rapid and efficient transformation of Generative AI innovation into tangible products or services, and to realize quick deployment of applications through the cloud framework! 如何利用雲端的強大資源彈性，使生成式 AI 的創新更快速、更有效地轉化為實際產品或服務，並通過雲端框架實現應用的快速落地！

Today, we're on the brink of an extraordinary revelation that promises to reshape the very core of Human Resources (HR) practices. The captivating force of Generative AI, or GAI, isn't just a concept; it's a strategic enabler for HR professionals like us. We've gathered here to embark on a journey through the practical landscape of harnessing GAI's potential.

In this session, product planning is an example to demonstrate how large language models can take on multiple roles and guide project completion through ChatGPT. The speaker will demonstrate the process from chaos to order, guiding ChatGPT to propose operational workflow and thinking frameworks, present counter arguments, and act as a discussant.

The speech provided a compelling insight into the potential of Generative AI to revolutionize healthcare, focusing on a pioneering collaboration between the China Medical University Hospital and Microsoft Taiwan. The gHi System, a groundbreaking AI solution born out of this collaboration, is globally recognized as the first generative AI medical system constructed in Chinese. Utilizing Microsoft's Azure platform and the cutting-edge language model GPT-4, the gHi System significantly reduces time spent on medical record-keeping, improving administrative efficiency and freeing medical professionals to focus more on patient care. The speech further highlighted how generative AI can transcend record-keeping by aiding in predicting disease patterns, personalizing treatment plans, and facilitating communication in patient care. In summary, the speech painted a future of smart healthcare where the intersection of Generative AI and medicine promotes more efficient, effective, and patient-centric medical practices. It highlighted the impressive achievements of collaborative technological innovation, opening up a conversation on the future of smart healthcare.

In today’s seminar, we delved into the profound impact of AI technology on financial services. We elucidated the categories of AI and its current state in the Taiwanese financial sector, highlighting its pivotal role in optimizing business processes and enhancing customer service. Through case analyses, we demonstrated how AI fosters more efficient and secure financial solutions. Looking forward, we foresee AI continually driving innovation and progression in the industry. 在今日的研討會中，我們探討了 AI 技術對金融服務的深刻影響。我們說明了 AI 的類型和其在台灣金融業的現況，突顯其在優化業務流程和提升客戶服務中的核心角色。透過案例分析，我們展示了 AI 如何塑造更有效和安全的金融解決方案。展望未來，我們預見 AI 將持續推動業界的創新和進步。

In this presentation, we will explore how Generative AI can drive and expedite enterprise digital transformation. Discover the potential opportunities and practical methods that Generative AI offers to reshape business processes, enhance customer experiences, and unlock new avenues for innovation. Join us as we delve into the transformative power of Generative AI in the context of today's rapidly evolving digital landscape.