Optimizing Infrastructure Through AI
Makes sense that Cisco would be into this, nicely explained below. I like the visualization of the process. Optimization of all sorts of static and dynamic resources to achieve a goal is common. Might be more broadly applied through a combination of parts of process flow and optimization. For example the prediction of customers might imply changed use of resources. Or the operation traffic might be bracketed between max and mins to understand alternative needs, and varying costs vs budgets.
AI Ops includes the ability to dynamically optimize infrastructure resources through a holistic approach. Cisco Workload Optimization Manager is an important component in our strategy of delivering enhanced customer benefits through AI Ops.
Guest Blogger: Vish Jakka, Product Manager, UCS Solutions
Our Strategy for Delivering the Benefits of AI Ops
Cisco is executing a strategy to consistently enhance the customer benefits we deliver through AI-driven Operations (AI Ops). This blog is the latest in a series that describes our strategy, our open architecture, and how we are implementing each of the benefits. In the first blog in this series we defined four categories of benefits from AI Ops: ... "
Improved user experience
Proactive support and maintenance
Self-optimization of resources
Predictive operational analytics .... "
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