eBooks
As AI is integrated into the network, there are concerns about whether it can be trusted to make decisions, handle sensitive data, and defend against the latest hacker strategies. Efforts are underway to rapidly validate that networks built for AI and enhanced with AI perform as expected. Test and assurance are at the nexus of these developments, delivering confidence and predictability in the face of a new frontier.
New methodologies like realistic traffic emulation and network digital twins are speeding comprehensive and reproducible testing of AI situations at scale and under congestion without requiring investment in expensive, proprietary labs.
This eBook explores the latest trends around AI’s incorporation into critical network functions. It examines how test and assurance address AI adoption challenges and the invaluable role they play in validating AI use cases. We also draw on Keysight’s customer engagements and market experience to reveal recommendations for testing and assuring networks enhanced with AI.
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