2024 AWS 台灣線上雲端高峰會

 11:30 - 12:10

 Session Level 300

Audience Targeting and Creative Optimization in the Cookieless World (featuring ClickForce)

CLICKFORCE 在 Cookieless 時代無縫結合生成式 AI 實現精準行銷 (featuring ClickForce)

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.

 13:00 - 13:40

 Session Level 200

Build a Data Foundation to Fuel Generative AI

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.

 13:50 - 14:30

 Session Level 200

Exploring Enterprise Data with Generative AI to Create New Business Value

利用生成式 AI 探索企業資料 創造新的商業價值

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。

 14:40 - 15:20

 Session Level 300

Enhancing Search and Recommendations at 1111 Job Bank with Vector Capabilities in OpenSearch Service (featuring 1111 & Headquarter.ai)

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.

 15:30 - 16:10

 Session Level 300

Dive Deep into Different AWS DMS Migration Options

深入探討 AWS Database Migration Service 遷移方案

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.

11:30 - 12:10

 Session Level 200

Transform your Contact Center Using Generative AI in Amazon Connect

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.

 13:00 - 13:40

 Session Level 200

AWS for VMware: Transforming People, Process, and Technology

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.

 13:50 - 14:30

 Session Level 300

The Architecture Design and Best Practice of SaaS Multi-tenancy Patterns for LLM

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.

 14:40 - 15:20

 Session Level 400

Generative AI Meets SaaS: Fine-tuning Multi-tenancy with Amazon Bedrock & Amazon SageMaker

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.

 15:30 - 16:10

 Session Level 200

Use Generative AI to Guide Your SaaS Business Journey (featuring PAFERS Tech.)

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.

11:30 - 12:10

 Session Level 200

Supercharge Software Development with Amazon Q Developer

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.

 13:00 - 13:40

 Session Level 200

Achieving Effective Governance and Cost Optimization on AWS (featuring 104)

Tsu-YI Li, Solutions Architect, AWS
Nicole Wu, Technical Strategy Department Manager, 104 Corp

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.

 13:50 - 14:30

 Session Level 300

借助 AWS 生成式 AI：自我修復程式碼，開發效能提升

Leverage Generative AI for Self-Healing Code on AWS

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。

 14:40 - 15:20

 Session Level 300

Refactoring to serverless

Scott Liao, Senior Solutions Architect , AWS

Serverless not only reduces time spent managing infrastructure, but it can also reduce application code. Replacing custom code with fully managed cloud services makes applications more reliable and easier to maintain. And thanks to cloud automation tools like AWS CDK, you can keep using the same familiar programming language to configure those services. As the lines between application code and automation code start to blur, you can refactor your application to better utilize the AWS Cloud and more cleanly separate business logic from application topology. This session shares a catalog of such refactoring with real-life examples.

 15:30 - 16:10

 Session Level 400

Best Practices for Serverless Developers

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.

11:30 - 12:10

 Session Level 200

Unleash Stable Diffusion’s Potential: AWS Inferentia2 Boosts Performance and Reduces Costs (featuring Vyond)

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.

 13:00 - 13:40

 Session Level 200

Strengthen your Security Posture with AWS

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

 13:50 - 14:30

 Session Level 100

BMC ServiceOps 運用人工智慧將服務與維運管理互相整合，加速數位轉型

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

 14:40 - 15:20

 Session Level 200

Transforming Industries with Generative AI: Gogolook's Journey in Anti-Scam (featuring Gogolook)

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.

 15:30 - 16:10

 Session Level 200

Utilizing Generative AI and Sigma Rules to Speed Up Cloud Incident Response and Cloud-Native SIEM

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.

 11:30 - 12:10

備考訓練營：AWS Certified Cloud Practitioner

特別優惠：參與答題環節，將有機會獲得全額 / 半價考試優惠折扣！

詳見<條件與條款>。

AWS 技術講師 Joe Huang

 13:00 - 13:40

用 AWS Copilot 輕鬆上手 Amazon ECS

賴怡玲, 後端技術導師 & 「Docker 實戰 6 堂課」作者

 13:50 - 14:30

提示工程基礎知識

AWS 技術講師 Joe Huang

 14:40 - 15:20

無伺服器智能 IT 支援: 使用 Amazon Bedrock 和 Amazon Aurora Serverless 建立能自我學習的內部 IT 支援機器人

Gabriel Koo, AWS Community Builder from Hong Kong

 15:30 - 16:10

生成式 AI 基礎知識 - 給技術與商業決策者

AWS 技術講師 Joe Huang