ScienceLogic has announced the availability of Skylar Advisor™, an AI-native advisor built to help IT professionals overcome operational complexity and transform massive amounts of data into clear, confident, and actionable decisions. With the increasing complexity of distributed IT, the problem of overwhelming alerts, telemetry, and tickets across multiple tools has become a reality. Skylar Advisor tackles accuracy, explainability, and trust issues. It uses real-time observability data and customer-owned knowledge. This approach leads to clear, evidence-based recommendations. Skylar Advisor is different from traditional monitoring and AIOps solutions. It actively analyzes telemetry, topology, and historical context. This helps prioritize actions and decide the next steps. As a result, it reduces the need for manual correlation and shared knowledge.
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“IT teams are drowning in data but starving for insight,” said Dave Link, CEO and co-founder of ScienceLogic. “Skylar Advisor applies AI reasoning directly to operational reality – not abstract prompts or generic models. It automates the analysis and guidance that once depended on human intuition. This helps organizations act faster, reduce risk, and innovate with confidence.” ”As IT environments continue to scale, relying on people to manually connect alerts, tickets, and documentation doesn’t work,” said Michael Nappi, Chief Product Officer at ScienceLogic. “Skylar Advisor automates how operational knowledge is captured, interpreted, and applied, helping teams move faster and make better decisions without adding risk.”