TLDR Tech / AI
What LLM telemetry from 1,000+ orgs reveals about how teams use AI at scale
Had enough of vague keynotes? This Datadog report draws on real LLM telemetry from over 1,000 orgs to show what teams are doing in prod. Read it to see: How model provider adoption is shifting and why most organizations are now multi-model by default Why LLM tech debt is compounding as teams adopt new releases faster than they retire old ones What the doubling of agent framework adoption means for observability Where hidden token costs are coming from and why prompt caching remains widely underutilized This is the benchmark for your AI stack. See how it compares
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