Machine Learning

ScienceLogic Introduces Skylar™ AI

Company unveils new AI suite, empowering organizations to automate ITOps processes, enabling more accurate, data-driven decisions that cultivate exceptional customer experiences

ScienceLogic, a leader in automated IT operations, today introduces Skylar™ AI. Reasoning over telemetry and stored knowledge, Skylar delivers accurate predictions, tailored recommendations, and intelligent automations that drive business efficiency and innovation.

Skylar AI is a groundbreaking AI suite that harnesses the power of generative AI and unsupervised machine learning combined with human-in-the-loop automation training models to revolutionize IT operations. By automating complex troubleshooting tasks, Skylar unburdens human experts from spending time on routine operational tasks, freeing up more time for innovation. Skylar redefines what’s possible in IT operations (ITOps), paving the way for exceptional customer experiences and unprecedented business agility.

“We stand at the precipice of a new era,” said Dave Link, CEO and co-founder of ScienceLogic. “The nonstop pace of technological innovation has created IT ecosystems of staggering complexity, far surpassing human capacity to manage effectively. Skylar AI is our answer to this monumental challenge. It’s a paradigm shift. By harnessing the revolutionary potential of machine learning and generative AI, we’re not merely solving today’s IT problems—we’re architecting the future of IT management. Skylar doesn’t just react; it anticipates, learns, and evolves. This isn’t incremental improvement; it’s a quantum leap that will redefine how businesses operate in the relentless digital age, ensuring they don’t just keep pace with innovation, but drive it.”

Skylar AI can proactively uncover insights, curate data, and guide users to business-impacting issues before they happen. It moves past simply managing problems to predicting and preventing them before they occur by drawing from three primary components:

  • Skylar Advisor: An AI advisor that transcends the limitations of today’s AI assistants, often known as co-pilots. It proactively delivers context-rich insights, precise predictions, and actionable recommendations, enabling businesses to prevent issues before they occur, optimize resources, and drive innovation without relying on constant human expertise. Skylar Advisor empowers users of all levels to easily align with institutional best practices to address IT issues efficiently.*
  • Skylar Analytics: A set of intelligent unsupervised AI/ML analytics coupled with deep data exploration and visualization capabilities, allowing teams to rapidly reason over critical and historical data to inform and empower the business to make strategic decisions quickly and confidently.
  • Skylar Automated Root Cause Analysis (RCA): Real-time root cause analysis for application and environment logs to quickly identify incident details, showing key log lines, plain language summaries, and recommended actions, saving hours (sometimes days) of manual effort.

“Managing IT complexity while supporting enterprise growth has long been an ongoing challenge,” said Karl Fosburg, Senior Director, Network Management and Observability at Hughes. “ScienceLogic’s groundbreaking AI, Skylar, addresses this by introducing advanced AI solutions to ITOps. We’re pleased to be part of the Skylar early adopter program.”

This announcement follows the May launch of Autonomic IT, ScienceLogic’s novel approach to ITOps that enables enterprises to focus on innovation, ensure superior customer experiences, and drive revenue growth by creating a cost-optimized, efficient, and scalable autonomous business.

To learn more about how Skylar and how ScienceLogic’s industry leading AI will redefine IT monitoring and management and enable Autonomic IT, visit https://sciencelogic.com/platform/skylar-ai.

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