Everyone is asking, "Are you ready for AI?". the real question is "Is your network ready for AI"? Research shows that Meta's AI workloads spend more than 50% of their time on the network. So if you not optimizing your observability practices and aren't monitoring a specific log or capturing the results of synthetic network testing, your AI initiatives could be at risk. Any blip in the network can cause inacurate data analysis, eplication of AI to be interupted or the wrong reposnse given to a prompt. In this Small Bytes session, learn the Top 10 ways to optimize your network observability practices so your AI initiatives reveal all the benefits they promise.
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