2024 AWS 台灣雲端高峰會

Ellen Chung, Territory Business Development Manager, AWS
Peiyuan Hsu, CEO, Laya Burger

AI/ML is no longer a buzzword only used by big tech companies. Businesses at any scale can be improved and innovate with AI/ML. Still, many business and IT leaders struggle to adopt AI/ML to solve real business challenges. In this session, we invite the local Taiwanese brunch brand, Laya Burger, to showcase how they transform from a traditional organization to a data driven entity. Giving an authentic sharing on how AI/ML technology play as an important role to unleash prospering business potentials.

Jamie Kuo, Solutions Architect, AWS
Bruce Huang, CDO, HAPPY GO 鼎鼎聯合行銷

HAPPY GO 藉助 AWS 生成式 AI Amazon Bedrock 發展業務的無限可能，不只節省人力，更能做到人工作業無法做到的業務。結合 Amazon SageMaker 為核心打造企業的 MLOps 平台，負責整合管理 HAPPY GO 各式各樣的 AI 需求。並針對特定的業務場景有效導入 AWS 託管式的 AI 服務，快速帶來業務效益，直接享受 AI 帶來的優勢。

Steve Xie, Solutions Architect, Chunghwa Telecom

開場介紹雲原生 VPN 接取解決方案選項，接續提出以 AWS Transit Gateway 搭配 Equal-Cost Multi-Path routing (ECMP) 之混合雲網路韌性提升解決方案，並帶出在使用 BGP 動態路由下，AWS Direct Connect (AWS DX) 以及 Site-to-Site VPN 之混合電路搭配比較。

Kevin Su, Sr. Solutions Architect, AWS
范姜士武 Diro, 副處長, VIVOTEKInc. 晶睿通訊策略事業處

Amazon Web Services (AWS) makes it easy to securely connect a wide array of devices to the cloud, enabling seamless interaction with other cloud-based applications and devices. You can ingest camera feeds, perform analysis and intelligent searches on video content, and extract insights or enhance user experiences through generative AI. VIVOTEK, a global provider of IP security solutions, will share why they chose AWS as the cloud platform for their hybrid video surveillance-as-a-service solution, VORTEX. This innovative system integrates video management services, AI-enabled cameras, and cloud backup features to offer customers centralized remote monitoring capabilities, real-time notifications, and advanced object recognition technology.

James Chan, AWS
Anyway Yeh, CEO, Fugle

This session will include an introduction to the Fugle company, the utilization of AWS Outposts to achieve low latency requirements, an overview of AWS Outposts, and prospects with AWS moving forward.

Shih-Yong Wang, Mgr, Solutions Architecture, AWS

From startups to enterprises, organizations of all sizes are getting started with generative AI. They want to capitalize on this new technology and translate the momentum from betas, prototypes, and demos to real-world innovations and productivity gains. With enterprise-grade security and privacy, leading foundation models, a data-first approach, and the most performant, low-cost infrastructure, AWS is trusted to deliver generative AI-fueled innovation. In this session, learn how new generative AI services and capabilities like Amazon Bedrock and Amazon Q can help deliver business value across key use cases to enhance employee productivity, improve customer engagement, and build new, differentiated experiences.

Tsu-Yi Li, Solutions Architect, AWS
Wayne Huang, Technical Director, KDAN
Cheng-Yeh Hsieh, AI Engineer, KDAN

This session will analyze how to integrate large language model with existing business processes when developing generative AI applications. Under the premise of security and compliance, we will strategically control model/orchestrate application process or even fine tune model so that the we can meets expectations and satisfies business goals. We also invite KDAN to share their experience about Contract Generation project which is powered by generative AI. Helping you seize opportunities in the wave of digital transformation.

Silver Su, Senior Solution Architect, MongoDB

深入了解 MongoDB Atlas 在 AWS 上如何讓組織加速生成式 AI 應用開發、超越生成內容精準度，獲取專屬資料持續學習！本次演講中，我們將介紹 MongoDB Atlas 向量搜尋與文檔模型的強力結合，以及 MongoDB Atlas 與 AWS 之間的協同效應，引領生成式 AI 新境界！

Learn how MongoDB Atlas on AWS enables organizations to accelerate the development of generative AI apps, enhance the accuracy of generated content, and leverage proprietary data for continuous learning. In this talk, we’ll cover the power of MongoDB Atlas Vector Search and the document model for generative AI, as well as the synergy between MongoDB Atlas and AWS.

Howard Hsiung, Territory Business Development Manager, AWS
Otis Chang, Machine Learning Asistant Manager, Vyin AI, Gamania Group
Sean Chen, Senior Machine Learning Engineer, Vyin AI, Gamania Group
Wayne Lin, Machine Learning Engineer, Vyin AI, Gamania Group

Generative AI overwhelms us with its capability and possibility, which realizes our imagination, fuels our productivity and also brings us challenges.
VyinAI is forming a new model of partnership with IP holders by leveraging generative AI and customized training methodologies. VyinAI amplifies features on audio, image and personalization to provide an unique and extraordinary experience of fan engagement. With the authorization of IP holders, VyinAI is applied to cloning idol voice, manufacturing customized merchandise with AI image styling trained on IP content, and generating personalized AI avatars upon mobile app user behavior. Simultaneously, IP holders are benefited with diverse revenue streams from VyinAI integrating generative AI capabilities into intellectual property. VyinAI sees the potential of the proposed new business model and is ready to pursue success together with its customers.

Michelle Hong, Prototyping SA, AWS
Kevin Chen, ML Application Team Lead, KKday

(1) Discover how KKday revolutionized search experiences by combining Amazon Neptune and RAG. (2) Explore their journey in building a knowledge graph with Neptune, modeling complex product relationships for enhanced search relevance. (3) Uncover the synergy of integrating Amazon Neptune with Amazon Bedrock's RAG models, enabling improved query understanding and result accuracy through generative AI (4) Sharing the outcome of graph and generative AI in delivering intelligent and personalized search result.

Scott Liao, Sr. Solutions Architect, AWS
Ian Chu, Architect, VicOne

Generative AI is revolutionizing various industries. Through a more human-centric interface, it can organize and consolidate vast amounts of information and deliver it to users in an appropriate way. This also includes how to use cybersecurity products. For vehicle systems, each vehicle is composed of multiple electronic control components (ECU) and is connected in series with multiple backend services. It is a big challenge for managers to quickly grasp the vehicle’s event and potential risks on a security operation center platform.

By combining human-led investigations with AI-assisted analysis, we not only can provide security risk insights that are more closely aligned with natural language, but also allows managers to quickly understand the vehicle status and potential cyber risks with the minimal interaction cost. We are also exploring the possibility of GenAI in analyzing malicious events and program code weakness, and further reshaping our vulnerability scanning products; using AI, we can enable it to consider the special context of the automotive environment, conduct more accurate scans of automotive software, and providing vulnerability mitigation or fix recommendations that are more effective and more appropriate for the target vehicle environment. It comprehensively ensures the robustness and performance requirements of vehicle cybersecurity and can also for the increasingly booming smart vehicle information security needs.

Ken Lee, Security Consultant, AWS
Dylan Wu, Technical Consultant, Trend Micro CSIRT

Logs play a vital role in Digital Forensics and Incident Response (DFIR). In this session, AWS Professional Services and Trend Micro CSIRT will share insights from real-world cloud DFIR collaborations. We will present detailed guidelines and actionable steps for effectively preparing for and managing incidents. This session will equip attendees with practical strategies to enhance their incident response capabilities in AWS environments by drawing on our experience.

Aloysius Chang, Prisma Cloud Solutions Architect, Palo Alto Networks

在 AI 技術迅速發展的背景下，資料安全與法規的重要性愈加凸顯。本場次將深入探討如何在雲原生環境中有效管理和保護資料，防止洩露和違規風險。我們將介紹先進的安全解決方案，包括自動化資料分類、風險識別和回應策略，幫助企業在複雜的多雲環境中保持敏捷與安全。透過真實案例與最新市場洞察，我們將展示如何運用創新技術驅動企業數位轉型，迎接 AI 未來的挑戰與機遇。

 Jon Tan, Senior Sales Engineer, Datadog 

容器無所不在！容器技術（如 Kubernetes 等）正在迅速普及，這主要是因為它們極大地簡化了應用程式的打包和部署。然而，這種便利性帶來了哪些權衡，特別是在安全性方面呢？
在本次演講中，我們將深入探討容器的工作原理，並討論它們帶來的安全風險。我將會提供一些使用案例，來說明如何保護您的容器化工作負載，讓您在享受便利性的同時，也能確保安全性。
Containers are everywhere! The rapid adoption of containers (and related technologies like Kubernetes) is due in large part to how easy they have made packaging and deploying applications. But what tradeoffs does this convenience come with, especially with regards to security?
In this presentation, we’ll take a look at how containers work and discuss the security risks they introduce. I’ll provide practical examples of how you can protect your containerized workloads, so that you can enjoy convenience and safety.

Eddy Chen, Cloud Architect, Professional Service, AWS
Kenny Chen, Tech Lead, PranaQ
Jianda Chien, Security Manager, PranaQ

In this session, explore how control tower can reinforce cloud environment to satisfy authority control and compliance requirement in highly regulated area. Through showcasing the authentic security adoption example of modern healthcare device, we will demonstrate how to address common security challenges found in pragmatic world. Learn patterns for enabling control tower early in the development lifecycle, applying security at all layers of your applications, enforcing API security, implementing secure coding practices, and more. Join this session to enhance your security posture.

CK Wang, Sr. HKT DB Specialist Solutions Architect, AWS
趙威典, 數據產品開發副理, ClickForce
徐捷耀, 資料科學家, ClickForce

In the cookieless era, reaching the last mile of RMN poses challenges, such as diminished ad targeting precision and hindered cookie matching. This session explores multiFORCE's IdentityNet solution, which leverages a unified user identification database to validate and compare various identification methods. Learn how this approach addresses the need for flexible data ingestion, fast query times, and scalability, while reducing costs. Gain insights into multiFORCE's experience in implementing this solution on Amazon DynamoDB and Amazon SageMaker, which improved query speed by 30% and lowered per-query costs by 20%.
This session also explores the power of AI-generated copy tailored to specific user segments, enabling highly personalized and engaging content across platforms. Learn strategies to leverage Bedrock for crafting compelling short descriptions and precise audience targeting, driving impactful results for your marketing initiatives.

Cathy Lai, Lead, TWN SSO, AWS

Data has long been considered a strategic asset by organizations, but generative AI puts a renewed emphasis on the importance of a data strategy. Whether you are building your own model or customizing a foundation model, your data is a key differentiator for generative AI, so you need a data strategy that supports relevant, high-quality data. In this session, learn about the data tools that can fuel your generative AI strategy and the common data patterns required to transform your generative AI application from a generic tool to a program that truly knows your business and your customer.

Jason Chou, Senior Technical Director, Netron

探討如何運用生成式 AI 從企業的文件、影音圖片等多種資料中發掘洞察，該通過自然語言查詢資料庫。最後定制化的知識管理解決方案，讓企業更精確獲取數據洞察，實現業務流程優化和創新，從而創造新的商業價值。

Gavin Lin, TW Analytic Specialist Solutions Architect, AWS
York Tsai, Headquarter.ai Principal Research Engineer and 1111 Project Technical Lead

1111 Job Bank has significantly enhanced their job search and recommendation functionalities by integrating Amazon Personalize, Amazon Bedrock, and Amazon OpenSearch Service. To address the challenge of cold start users who have limited recent click events, 1111 Job Bank employs a strategy that matches job descriptions with user resumes. By utilizing the OpenSearch vector engine to perform vector searches on embeddings generated by Amazon Bedrock, 1111 Job Bank delivers high-quality semantic job recommendations and search results. This integration has led to a notable increase in customer satisfaction.

Johnny Yu, Sr. Cloud Support DBE, AWS

This session will provide an overview of the various options offered by AWS Database Migration Service (DMS) to enable migration of databases to AWS. It will cover DMS Fleet Advisor which provides recommendations to optimize database migrations, database migration tasks to migrate databases to AWS, the benefit of serverless replication, SCT(schema conversion tool) to convert source schema to match the target, and the use cases of migration project. The session aims to equip the audience with a clear understanding of the capabilities of DMS so they can develop an effective database migration strategy using the tools available in DMS.

Wayne Huang, Sr. Solutions Architect, AWS

New generative AI capabilities in Amazon Connect are helping businesses reimagine customer, agent, and manager experiences to improve business outcomes. With a one-stop optimization suite, Amazon Connect helps you continuously improve with generative AI–powered agent assistance, augmented conversational analytics to uncover trends and automatically identify agent coaching opportunities, automated customer profile generation, and improved chatbot design and self-service experiences. Join this session to learn how new built-in generative AI capabilities in Amazon Connect can enhance your contact center and customer experience.

James Tsai, Sr. Enterprise Program Manager, AWS

Choosing the right cloud destination to run and operate your VMware-based workloads is a critical decision point for your business. Join this session to learn how AWS is partnering with our customers to navigate this journey with the right mix of migration, modernization, and innovation to meet your business goals today and in the future. From purpose-built services that offer prescriptive guidance for rapid migration and modernization to specialized programs to train and upskill your teams, AWS and our partners are committed to helping you transform your VMware environments.

Howard Su, Solutions Architect, AWS
Kerrigan Lin, Solutions Architect, AWS

Supporting AI/ML and generative AI in a SaaS environment requires teams to take on a range of multi-tenant challenges. Providers need to consider how tenants are mapped to models, how inferencing is scaled for tenants, how solutions are integrated with other AI/ML services, and how LLMs are tuned to meet tenant-specific needs. In this session, dig into these intersections between multi-tenancy and AI/ML, including the common design, performance, isolation, and experience challenges that come with making AI/ML part of your SaaS offering. Learn to identify the patterns and strategies to consider when applying AI/ML and generative AI in a SaaS environment.

Peter Yang, Sr. Solutions Architect, AWS

Learn key strategies for seamless tenant isolation, resource optimization, and scalability, empowering your organization to effectively cater to varied tenant needs without compromising performance or security. Gain insights into the architectural considerations, challenges, and solutions for building a robust, multi-tenant fine-tuning platform on AWS. In this session, we will discuss how to leverage Amazon Bedrock and Amazon SageMaker to build a scalable, multi-tenant fine-tuning architecture for your AI/ML models.

Joey Wu, Solutions Architect, AWS
Ernest Chiang, Director of Product & Technology Integration at PAFERS Tech.

Introduce a strategic framework guiding SaaS companies through critical business preparations. We'll outline key activities for various company profiles, also demonstrate an LLM-powered chatbot with RAG, showcasing how AI can leverage this framework to support SaaS product delivery. Attendees will gain practical insights from PAFERS and learn how they navigating the SaaS journey and building successful products with this tool.

Cliff Lu, Senior Solutions Architect, AWS

Generative AI has the power to help you reimagine the way that developers and organizations learn, plan, create, deploy, and securely manage applications. Across the software development lifecycle—from architecting to developing, testing, deploying, and maintaining applications—generative AI developer tools save time, automate undifferentiated heavy lifting, and create space for innovation and creativity. Learn how AWS is innovating responsibly to deliver tools such as Amazon Q so that builders can focus on meaningful work that drives impact for their customers.

Tsu-YI Li, Solutions Architect, AWS
Nicole Wu, 技術策略發展 Manager, 104
Bruce Sun, 技術策略發展 Sr. Cloud Dev. Engineer, 104

In this session, we will explore through methodologies and case studies how enterprises can achieve efficient governance and cost savings on AWS. First, we will introduce continuous observation of system and billing status, helping enterprises grasp real-time data for timely response. Next, we will dive into how the Cloud Center of Excellence (CCoE) can effectively manage and centralize resource costs, ensuring maximum resource utilization and approach to best practices, utilizing resources when needed and saving when possible. In a more systematic, comprehensive and efficient manner, we will help enterprises improve cloud operations efficiency and maximize return on investment.

Rich Guo 郭賦昱, Solutions Architect, eCloudvalley

在生成式人工智慧（Generative AI）的驅動下，我們能夠利用 AWS 平台，自動化修復程式碼的架構設計，透過這項技術，我們能夠有效提升軟體開發的效率與系統韌性。特別是在快速迭代的開發環境中，這一解決方案不僅能夠大幅縮短除錯時間，還能讓開發團隊更專注於創新與應用的發展。本演講將深入探討生成式 AI 如何在 AWS 上自動修復程式碼，以及其對開發流程和最終產品質量的積極影響。

Donnie Li, Sr. Cloud Support Engineer, AWS

In this session, see a demo of the newest generative AI features in Amazon CodeCatalyst. Learn how you can input simple instructions to produce ready-to-use code, automatically adjust infrastructure, and update CI/CD workflows. Explore how you can generate concise summaries of intricate pull requests. Join this session to see firsthand how these practical additions to CodeCatalyst simplify application delivery, improve team collaboration, and speed up the software development lifecycle from concept to deployment. Discover the groundbreaking impact that AI can have on DevOps through the lens of CodeCatalyst.

Shawn Zhang, Cloud Native Specialist Solutions Architect, AWS

Do you want to take advantage of the full power of serverless architectures for your production workloads? Are you wondering how events can help your applications scale? Have you been trying to tune your applications for higher performance and lower cost? This session provides architectural best practices, optimizations, and useful shortcuts that experts use to build secure, high-scale, and high-performance serverless applications.

Eunice Tsao, TW ML Specialist SA, AWS
Vince Chen, Senior DevOps Engineer, Vyond

Vyond, a global video creation platform, leveraged AWS to introduce Vyond Go—a generative AI-powered text-to-image service that produces high-quality videos in seconds. By running Stable Diffusion, a text-to-image model, on Amazon EC2 Inf2 instances, Vyond Go turns text prompts into videos at 20% lower cost, enabling enterprises to transform text prompts into videos in just 30 seconds while ensuring security and compliance with data privacy regulations.

Young Yang, Sr Manager, HKT SSA, AWS

Both Generative AI and security are evolving and revolutionizing at a fast pace each month. Generative AI brings a lot of new changes and challenges for model providers and model consumers. On one end, we are interested in developing intelligent systems that can learn to protect computers from attacks and identify security problems automatically. On the other end, hackers also use these new technologies to develop new attacks. In this session, we will cover:

1. What is Security Posture? and Why is it important?
2. How to improve cloud security posture?
3. How to safely use generative AI (Blue Team)
4. How to defend against new generative AI impacts (Red Team)
5. Closing & Takeaway

JJ Lee, 資深技術顧問 Senior Solution Engineer, BMC

Wayne Huang, Sr. Solutions Architect, AWS
Monken Wu, Sr. Backend Engineer, Gogolook

The global scam problem is escalating, with losses surpassing $10 billion in 2023, a 14% rise from 2022*. This alarming trend underscores the need for more effective and timely scam detection methods. Gogolook, in collaboration with AWS, utilizes generative AI to help users identify scams. The AI, leveraging Whoscall's comprehensive scam database, swiftly determines if the LINE/SMS message is fraudulent, helping prevent potential financial losses. Join our session for engineers and innovators to explore integrating Generative AI into new product features. Discover how this technology enhances user experience and fortifies security measures. *Data from the Federal Trade Commission (FTC) report.

Tim Yeh, HKT Security Specialist SA, AWS
Kuo-Shih Huang, Cloud Support, AWS

In this session, we will discuss utilizing OpenSearch as a SIEM solution on AWS. We will also explore how OpenSearch's new feature -- security analytics and Sigma rules can assist us in incident response. Finally, we will talk about how Generative AI (GenAI) can help in security analytics and incident response, its limitations, and successful approaches.