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AI & Enterprise

AWS launches \'training sessions\' in SageMaker for custom AI agent training

Amazon Web Services has launched a \'training sessions\' feature in its Amazon SageMaker AI machine-learning platform, VentureBeat reported. The tool lets developers design training procedures and set success criteria while AWS allocates compute resources, coordinates processors, handles recovery and saves progress. It adds finer programming control to a serverless approach. Billing is based on processed tokens, with no charges during customer evaluation. Four models are supported, and data remains in customers\' S3 storage.

AI & Enterprise

AWS expands push into physical AI, builds operations base linking cloud and edge

As physical AI expands into robots, industrial equipment, cameras and autonomous mobile robots, Amazon Web Services is moving to build an operating system that links the cloud and the edge. It unveiled a cloud-edge integrated solution last month for customers developing physical AI systems. AWS said key challenges include data and simulation, latency and post-deployment operations. Partners are building augmented data pipelines and AWS is offering cloud infrastructure, data services and edge management tools.

AI & Enterprise

Bottom-up AX results become visible; IT teams\' key role is AX monitoring, not development

Companies are moving faster to help business units develop needed AI services and agents directly, bypassing IT departments. GS Caltex DX Center head Eun Ju Lee (이은주) said the IT function is shifting from building services to measuring, monitoring and helping improve services created in the field. She cited a bottom-up strategy, internal app creation and business results, including growth in Energy Plus app users and ratings.