AWS Solutions Architect Justin Lin: AI is evolving from generative assistants to intelligent agent AI systems, with model selection and data security being key

ChainCatcher news, at the Silicon Valley 101 x RootData annual summit held in Silicon Valley, AWS Solutions Architect Justin Lin delivered a keynote speech, systematically explaining how enterprises can achieve the transformation path from proof of concept to large-scale implementation through AWS AI.

Justin Lin pointed out that the development of AI is undergoing an evolution from generative assistants to intelligent agent AI systems, and in the future, fully autonomous workflows and multi-agent collaboration will be realized. He emphasized that model selection and evaluation are core aspects of enterprises applying AI. By 2028, most enterprises will deploy dozens of generative AI models, necessitating the establishment of a systematic testing framework and the design of architectures that support model switching.

Regarding trustworthy AI, he cited data indicating that 66% of corporate executives view data privacy and security as the primary risks, recommending the construction of a security system from multiple dimensions such as identity management, encryption, and audit logs. AWS's three pillars of AI—freedom to innovate, trustworthy AI, and maximizing value—provide comprehensive technical support for enterprises.

The speech also showcased a practical case from Crypto.com, where the use of Amazon Bedrock and SageMaker improved the accuracy of its AI assistant tasks from 60% to 94%, providing real-time market sentiment analysis for over 100 million users, validating the effectiveness of AWS AI in the cryptocurrency field.