Turning machine data into action, strengthening resilience, and building for the agentic era. That's the impact of the innovations announced at #splunkconf26.
Check out the highlights. 👇
AI is only as smart as the data behind it. 👀
Our Machine Data Outlook research revealed a whopping 71% of tech leaders worry fragmented machine data could lead to misleading AI recommendations.
Mangesh Pimpalkhare breaks down why context matters: splk.it/3WFpN6y
AI agents are great at getting things done. They're also great at burning through tokens. 👀
So how do you scale agentic AI without losing sight of the economics?
Our Hao Yang shares six pillars of a practical tokenomics playbook on @DigiconAsia: splk.it/4f5Sm3p
AI agents work independently. Their costs? Not so predictable. 👀
@techradar highlights our State of Observability 2026 report: 55% of organizations struggle to control AI costs as agentic AI adoption grows.
Get the insights: splk.it/4kjGWMY
AI agents make systems harder to predict. Observability can bring clarity back. 🔎
ICYMI: Our State of Observability 2026 report found 83% of ITOps and engineering pros are concerned about unintended AI agent consequences.
Get the research: splk.it/4zeb0OE#SplunkO11y