AWS Summit Bangkok 2025 On-demand

What does it take to build anything you imagine? To enhance performance while prioritising sustainability and security? To better navigate the convergence of data and AI? And what comes next? In this keynote, explore how AWS provides the building blocks and tools you need to securely build anything you imagine. Join us to hear practical insights from customers in Thailand who have accelerated migrations, modernised workloads, reduced costs, and removed obstacles on their journey from imagination to reality. Learn about the latest innovations in AWS compute, storage, and generative AI - and how you can leverage them to build, scale, and transform your business.

AWS Speakers:
Laura Grit, VP/ Distinguished Engineer, AWS
Vatsun Thirapatarapong, Country Manager, Thailand, AWS

Customer Speakers:
Sunsern Samaisut, CTO, CP Group & Managing Director, AXONS
Yod Chinsupakul, Founder and CEO, LINE MAN Wongnai

Data decision-makers face a transformative challenge as the boundaries between analytics and AI blur, and teams need to move effortlessly between analysing historical patterns, predicting future scenarios, and deploying AI applications. However, some organisations remain constrained by fragmented workflows, data silos, operational overhead, and limitations of scale and performance. In this session, learn how AWS's integrated storage, database, and analytics capabilities create a unified, high performance, and secure data foundation where data scientists, analysts, and engineers can collaborate seamlessly across the entire data lifecycle to power analytics and AI outcomes for the business.

AWS Speaker: Santiphap Satthaporn, Partner Solutions Architect, AWS

Drive value with generative AI on Snowflake Data Cloud. Join us to learn about specific use cases to drive value in your organisation with GenAI on Snowflake, powered by AWS. - Unstructured Data Insights - Conversational Assistants - AI Augmented BI Afterwards, you will dive deep into how a solid data foundation will help you resolve common challenges that may slow down your use case delivery.

Partner Speakers:
Karn Kongsawat, Enterprise Lead, Thailand, Snowflake
Pum Hiranpanthaporn, Senior Solution Engineer, Thailand, Snowflake

The rapid rise of generative AI is transforming how businesses approach data and analytics, blending traditional workflows and converging analytics and AI use cases. This session covers the next generation of Amazon SageMaker, the centre for all your data, analytics, and AI, with a specific focus on SageMaker Unified Studio. Learn how Unified Studio brings together familiar tools from AWS analytics and AI/ML services for data processing, SQL analytics, machine learning model development, and generative AI application development into a single environment to enable collaboration and help teams build data products faster. The session features Gosoft, who has been leveraging SageMaker to deploy ML models for over thousands 7-11 stores across Thailand.

AWS Speaker: Chatcharoen Chivakanit, Senior Solutions Architect, AWS

Customer Speaker: Dr. Taweesak Emsawas, Expert Data Scientist, Gosoft (Thailand) Company Limited

In this session, learn how medical doctors with no prior machine learning (ML) experience, build ML models in months. Building ML models involves complex and time-consuming tasks from data preparation to model building and model deployment. Discover how Amazon SageMaker Canvas makes it easy to prepare training-ready datasets at petabyte scale, build highly accurate custom ML models for regression, classification, and forecasting using AutoML, and deploy ML models without writing a single line of code.

AWS Speaker: Dr. Manusnan Harinsuit, Senior Solutions Architect, AWS

Customer Speaker: Dr. Marut Siriwatthanadechakul, Assistant to Hospital Director, Bangkok Hospital

In the era of generative AI, data is the key to creating intelligent, personalised applications that drive business impact. SAS Viya, integrated with generative AI and hosted on AWS, enables organisations to develop AI models that automate processes and align with business needs. This session explores how a strong data strategy and SAS Viya's analytics empower AI-driven decision-making and business growth.

Partner Speaker: Thanapon Treelertkul, Systems Engineer & Sales Support, SAS Software Thailand

Join this session to learn how Bank of Ayudhya built their generative AI applications and improved their productivity using Amazon Bedrock agent. Learn how they created specialised agents for different tasks like account management, repos, pipeline management, and more to help their developers, data engineers, and data scientist go faster. Explore the significant productivity gains and efficiency improvements achieved across this organisation.

AWS Speaker: Panyapol Chuenwatanakul, Solutions Architect, AWS

Customer Speaker: Suraphan Laokondee, Lead AI/ML Engineer, Bank of Ayudhya

In this session, explore Amazon Bedrock's new built-in RAG evaluation and LLM-as-a-judge model evaluation capabilities, designed to help you improve and productise your Amazon Bedrock Knowledge Bases and foundation models, including custom models and imported models. Discover how to create and manage evaluation jobs and analyse performance with critical quality metrics such as correctness, completeness, and responsible AI metrics such as harmfulness, answer refusal, and stereotyping. This session provides an overview of how to use these features built directly in Amazon Bedrock and how to get started immediately.

AWS Speaker: Narongrit Intasunta, Senior Solutions Architect, AWS

Customer Speaker: Sylvain Dormieu, Director of Engineering, Omise

More global leaders like Bundesliga and Trellix are taking their generative AI applications to production and realising business impact through increased innovation, productivity, and cost savings. How are they achieving these benefits and what are the key priorities that are critical for success? Through training, professional services experts, and comprehensive generative AI offerings, AWS provides trusted guidance and tools for customers to scale with confidence. In this session, learn how new services and models like Amazon Nova, Amazon Bedrock, and Amazon Q are delivering business value across use cases to enhance customer engagement and boost employee productivity.

AWS Speakers:
Ponrawat Chirajakwattana, Senior Solutions Architect - Analytics, AWS
Satsawat Natakarnkitkul, Senior Solutions Architect, AWS