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AI & Enterprise

Managing many AI agents at companies draws attention to different AWS and Google Cloud approaches

As companies put AI agents into real-world use, managing large numbers of agents is emerging as an issue. Amazon Web Services and Google are drawing attention with different approaches. Google focuses on managing agents at the system layer through a centralized control environment. AWS uses a harness approach in which developers predefine an agent’s role, model and tools, and the system runs the agent within that framework to speed experimentation and deployment.

AI & Enterprise

Kyobo Lifeplanet shifts Laplay insurance marketing platform to AWS, steps up push overseas

Kyobo Lifeplanet Life Insurance, a digital life insurer without agents, said it has shifted its digital insurance marketing platform Laplay to Amazon Web Services cloud infrastructure and is stepping up expansion of the solution for overseas insurers. The company upgraded its architecture to a microservices structure and built a multi-country independent deployment environment. Laplay combines health-management rewards and content with gamified missions to help users earn points usable for premiums and everyday purchases.

AI & Enterprise

AWS adds managed agent harness to AgentCore to simplify AI agent deployment

Amazon Web Services has updated its Amazon Bedrock AgentCore platform, adding features designed to automate AI agent infrastructure setup, SiliconANGLE reported on Tuesday. The update introduces a managed agent harness that replaces manual configuration of computing resources, authentication, storage and code sandboxes with a configuration file. AWS also added an AgentCore command-line interface and said it supports easier switching between models by adjusting API parameters.