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1st Place Art + Science Competition: Hillerbrand and Magsamen For the Art + Science Competition entitled States of Change, we asked to see photography that examines art and science through transition, transformation, and instability. Change may be gradual or abrupt, visible or difficult to perceive, ranging from emotional shifts to environmental conditions.
Today, IBM is unveiling IBM Network Intelligence, a network-native AI solution that addresses the escalating complexity of modern telecommunications and enterprise networks. Developed in collaboration with IBM Research, the solution is essential for organizations that want to transform every phase of network operations and build trustworthy AI. IBM Network Intelligence pairs advanced time-series foundation models with LLM-powered reasoning agents to create a network-aware AI collaborator.
When I talk with CSPs and industry leaders about AI, the conversation often starts with hype. But hype doesn’t transform networks—clear, targeted applications do. In my recent conversation with Contributing Editor Annie Turner at FutureNet World, I shared why we at IBM view AI not as a magic bullet, but as a powerful set of tools that must be applied strategically to drive automation, observability, and ultimately, autonomy.
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