ScienceLogic introduced 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 an 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.
*Some features to be available in late 2024.
The Latest
Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...
New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...