Connect | New York // DCD>Talks making it make sense with Travis Talcott | EkkoSense

Wondering what you need to do to deploy AI? Are the equipment needs the same for ChatGPT and DeepSeek?

Capital equipment can be expensive, so knowing exactly what’s required to support any AI rollout is crucial. Planning for contingencies—such as addressing supply chain issues and vendor capacity—ensures timely deployments. By using digital twin modeling alongside actionable intelligence, your organization can gain deep insights into your critical infrastructure, collaborating across the entire ecosystem.

A data center facility can leverage real-time data to validate systems, raise alarms, and provide recommendations to optimize sustainability and demand response. Understanding the key factors that impact modeling results is essential. Experience capacity management is driven by intelligence and learn how to fully optimize your data center before deploying any resources. Predictive patterns can also help you stay ahead of preventative maintenance needs.

What is your infrastructure data telling you? What if it could tell you even more? Join this DCD>Talk with Travis Talcott to find out.