Building AI is one thing. Budgeting for it is another. As enterprise tech leaders deploy multi-LLM applications, token economics is quickly becoming the ultimate metric for success. Without a clear conductor for your AI infrastructure, cloud costs can easily spiral. Our CTO of North America, Juan Orlandini, caught up with us at #CiscoLive to discuss how Insight is helping clients build proper guardrails around frontier models and domain-specific workloads. The goal is simple: total control over your AI environment. Discover how we help enterprises optimize AI workloads and protect their cloud ROI: https://lnkd.in/gge97fP5
The hidden trap of the AI boom? Token economics. If you caught any of the major tech conversations recently, the buzz wasn’t just about what AI can do, it’s about what it costs to do it. But here’s the reality most organizations are hitting head-on: When you’re building multi-LLM applications, it is incredibly easy to run a symphony without a conductor. Without proper guardrails, your token consumption can skyrocket, turning a promising AI pilot into an absolute black hole for your cloud budget. At Insight, we're helping clients move past the bright, shiny demos and get ruthless about execution. Whether you are deploying frontier models in the public cloud, running domain-specific workloads in your own data center, or orchestrating a hybrid environment, the goal is the same: You must be in control of where, when, and why those tokens are being generated. Here is a quick one-minute breakdown I filmed straight from the #CiscoLive showroom floor on how to navigate the complex world of token economics: #TokenEconomics #TokenConsumption #PublicCloud #HybridCloud