As AI and cloud computing become key to industry innovation, AWS hosted the "7 AWS Taiwan Cloud Summit" from July 29th to 30th. The first day's keynote focused on AI industry applications, enterprise innovation and transformation, and the practical implementation of generative AI. AWS Taiwan and Hong Kong General Manager Wang Dingkai, AWS Vice President of Global Public Sector Industry Business Jeff Kratz, and Palantir Technologies Senior Advisor Shon J. Manasco shared industry trends and strategic applications.
Using AI and cloud technology to solve Taiwan's transformation pain points
In his opening remarks, Wang Dingkai emphasized that AWS has accumulated more than 25 years of application experience in AI and machine learning, and continues to promote the implementation of technology in diverse scenarios such as manufacturing, logistics, retail, and healthcare. He also pointed out that Taiwan is currently facing challenges such as an aging society, talent gaps, and industrial upgrading, and AI and cloud technology are the corresponding solutions.
AWS Asia Pacific (Taipei) RegionOfficially launched in June of last year, it became the 6rd AWS region globally, offering three availability zones, helping Taiwanese businesses access cloud services with millisecond-level low latency and high availability. Wang Dingkai noted that AWS plans to invest over US$33 billion in Taiwan, create over 50 full-time jobs in Taiwan over the next 15 years, and contribute up to US$6500 billion to Taiwan's GDP.
At the same time, AWS also announced the launch of the "ZIP Project" (Zero Intervention Project), which advocates the use of "zero intervention technology" to combine AI and cloud resources to promote five major directions including "sandbox experiments", "AI talent training", "industry workshops", "new startup incubation", and "ecosystem links".
Wang Dingkai stated that we are now in an era of widespread application of automation technology, and the key to its operation lies in AI and cloud services. AWS hopes to help companies build automated and intelligent decision-making processes with minimal human intervention and controlled costs, thereby accelerating digital transformation and helping companies strengthen their global competitiveness.
A three-stage path to AI automation
Palantir Technologies, a comprehensive analytics company known as the "kingpin" of Silicon Valley companies, has established itself as a leader in national security services, integrating AI with data governance, business decision-making, and real-time applications. Senior consultant Shon J. Manasco participated in the 2025 AWS Taiwan Cloud Summit and shared his practical experience in implementing AI in enterprises. He believes that the key to truly realizing the benefits of AI lies in deeply integrating the technology with human decision-making processes and adopting a "gradual automation" implementation strategy.
Shon J. Manasco uses the insurance industry as an example to illustrate the three stages of AI implementation:
• Human-led + AI-assisted:AI provides recommendations and data insights, while experts make judgments.
• Human-machine collaboration + two-way learning:AI learns expert decision-making logic and gradually builds trust and accuracy.
• AI automatic decision-making + human supervision:The process is highly automated, requiring human intervention only in critical situations.
Shon J. Manasco emphasized that AI should not be used solely as a point tool, but rather as an embedded operational platform. Palantir Technologies' AIP (Artificial Intelligence Platform) has successfully helped numerous leading companies in finance, healthcare, and manufacturing improve resource allocation efficiency, optimize production plans, and even enhance supply chain resilience.
Five key advantages of the AWS x Palantir Technologies collaboration
The AWS and Palantir Technologies collaboration is based not only on technological interoperability but also on achieving significant benefits, creating scalable, controllable, and efficient AI workflows for enterprises. Shon J. Manasco identified five key advantages of the partnership, explaining that these advantages not only lower the barrier to entry for AI adoption but also enable enterprises to plan for the future with greater foresight in the era of generative AI. These advantages are as follows:
• Rapid Integration and Interoperability:Palantir Technologies' AIP seamlessly integrates with the AWS platform and existing enterprise systems, ensuring data sovereignty and access control.
• Accelerate time to value:It only takes a few weeks from implementation to actual production, and the results are seen quickly.
• Flexible scalability:Supports various tools such as Python, Jupyter Notebook, Amazon SageMaker, etc., facilitating customization and expansion.
• High data security and governance mechanism:Meet the needs of enterprises for AI compliance, security and auditing.
• Results-oriented:Its commercial value has been confirmed by several Fortune 500 companies in the United States, and it has extensive implementation experience.
Generative AI moves from assistant to AI agent
Jeff Kratz, Vice President of AWS's Global Public Sector Industry Business, shared the progress and strategic layout of generative AI from a global perspective. He believes that the next step in generative AI will be "AI Agents," which can not only communicate and generate content, but also understand tasks, make inferences and automatically execute processes, evolving from AI assistants to digital employees within the enterprise.
AWSNew Amazon Bedrock AgentCore, a key platform designed to achieve this vision. By leveraging Bedrock's foundational models (such as Anthropic, Mistral, and Meta Llama) and combining them with the task-oriented development tools provided by AgentCore, enterprises can quickly build AI agents capable of reasoning and multi-step operations and deploy them into enterprise workflows.
Jeff Kratz pointed out that AWS's parent company, Amazon, has already extensively applied AI in its global supply chain, warehouse scheduling, and customer service, and has transformed these achievements into AWS platform tools, allowing more industries to share in the benefits of this experience. For example, through generative AI technology, Amazon's supply and demand forecasting accuracy in the United States has increased by 10%, significantly optimizing logistics costs and inventory allocation.
From AI infrastructure to industry implementation, AWS continues to deepen its presence in Taiwan
The AWS Taiwan Cloud Summit showcased AWS's integration of local investment, technology platforms, and global experience, emphasizing its partnership with Taiwanese businesses to usher in a new era of generative AI and automated operations. From infrastructure (opening in the Asia-Pacific region), industry collaboration (implementation of Palantir AIP), technology platforms (Amazon Bedrock & AgentCore), to innovative initiatives (ZIP), AWS demonstrated its comprehensive strategy to help businesses capitalize on the wave of AI transformation.
