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Datadog
ServiceNow
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Learn how teams can use AI-native data exploration and lightweight agents to convert service and incident data into actionable insights for retail operations
Retail operations generate constant signals from stores, field services, and digital platforms. The challenge is not data volume; it’s turning that data into insight leaders can trust and act on.
We’ll show how these patterns align with ServiceNow’s AI Control Tower, providing centralized visibility and control over where AI is applied, how insights are generated, and how operational context is preserved across workflows. Looking ahead, we’ll discuss how this same Control Tower foundation enables the transition from insight to agentic execution, where AI can move from analysis to governed, cross-workflow action as capabilities mature.
Retail operations generate constant signals from stores, field services, and digital platforms. The challenge is not data volume; it’s turning that data into insight leaders can trust and act on.
We’ll show how these patterns align with ServiceNow’s AI Control Tower, providing centralized visibility and control over where AI is applied, how insights are generated, and how operational context is preserved across workflows. Looking ahead, we’ll discuss how this same Control Tower foundation enables the transition from insight to agentic execution, where AI can move from analysis to governed, cross-workflow action as capabilities mature.
Retail operations generate constant signals from stores, field services, and digital platforms. The challenge is not data volume; it’s turning that data into insight leaders can trust and act on.
We’ll show how these patterns align with ServiceNow’s AI Control Tower, providing centralized visibility and control over where AI is applied, how insights are generated, and how operational context is preserved across workflows. Looking ahead, we’ll discuss how this same Control Tower foundation enables the transition from insight to agentic execution, where AI can move from analysis to governed, cross-workflow action as capabilities mature.
We’ll show how these patterns align with ServiceNow’s AI Control Tower, providing centralized visibility and control over where AI is applied, how insights are generated, and how operational context is preserved across workflows. Looking ahead, we’ll discuss how this same Control Tower foundation enables the transition from insight to agentic execution, where AI can move from analysis to governed, cross-workflow action as capabilities mature.
Retail operations generate constant signals from stores, field services, and digital platforms. The challenge is not data volume; it’s turning that data into insight leaders can trust and act on.
Managed Datadog offers a fully managed, hands-on-keys solution to manage the health of the Datadog platform, audit costs, reduce mean time to resolution (MTTR), and automatically detect security vulnerabilities.
Retail operations generate constant signals from stores, field services, and digital platforms. The challenge is not data volume; it’s turning that data into insight leaders can trust and act on.
Retail operations generate constant signals from stores, field services, and digital platforms. The challenge is not data volume; it’s turning that data into insight leaders can trust and act on.
