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Multi-agent architectures: How coordinated AI systems scale

Enterprise teams are moving from ad hoc coding agents to coordinated multi-agent systems with standardized skills, orchestration and real runtime validation.

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IBM Think: AI transformation aims to shrink process, lift people

Executives at IBM Think want to use AI to remove friction for their people in the mid-to-long term, but understand significant change is necessary to get there.

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From perceptron to Concert: The operations data model at IBM Think '26

IBM positions Concert as a graph-driven operations platform that combines observability, policy, risk and AI agents into a shared enterprise context layer.

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The key to aligning technology initiatives with business goals

STAREAST presenters outlined frameworks for aligning QA, AI and IT initiatives with business value through shared metrics tied to cost, risk and outcomes.

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