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Category: Automated Root Cause Analysis

Keys to Success: Three AIOps Best Practices

When IT operations run smoothly, it’s more likely everything else in the organization will as well. Unfortunately, tech sprawl can make IT environments more prone to issues that hinder end users or, worse, customers. Recent research shows that up to 50% of organizations juggle multiple tools for observability. Too many disparate tools to monitor too… Continue reading Keys to Success: Three AIOps Best Practices

Published January 21, 2025
Categorized as AIOps, Automated Root Cause Analysis, Automation, Skylar AI
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Keys to Success: Three AIOps Best Practices

2024 has been a momentous year for ScienceLogic. In May, we launched our vision of Autonomic IT, which combines data, AI, and automation to create a fully autonomous state of IT operations. We followed that up in July with the introduction of Skylar AI, a suite of services that empower organizations to automate ITOps processes,… Continue reading ScienceLogic Recognized by NVTC as a Tech100 Innovator

Published November 27, 2024
Categorized as Automated Root Cause Analysis, Automation, Autonomic IT, ITOps, ScienceLogic, Skylar AI
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ScienceLogic Recognized by NVTC as a Tech100 Innovator

What are the biggest challenges facing MSPs this year? CRN recently asked top MSP executives what keeps them awake at night. The findings should come as no surprise.  Compliance and cybersecurity remain perpetual challenges. Compounded by talent gaps, a constantly evolving regulatory environment, and new threat vectors, MSPs are working overtime to stay ahead of… Continue reading Overcoming the Top Challenges Faced by MSPs with ScienceLogic

Published November 25, 2024
Categorized as Automated Root Cause Analysis, Automation, Managed Service Providers (MSPs), Monitoring, Skylar AI
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Overcoming the Top Challenges Faced by MSPs with ScienceLogic

As IT environments continue to expand in scope and complexity, understanding their impact on organizations is more important than ever. That’s why ScienceLogic commissioned research specialist Vanson Bourne to survey 400 IT operations professionals across the USA, UK, Germany, and Canada with the goal of understanding the challenges they’re facing and the technologies—including automation, AI,… Continue reading Crawl, Walk, Run: Implementing AI and Generative AI on Your Journey to Autonomic IT 

Published October 22, 2024
Categorized as AI/ML, AIOps, Automated Root Cause Analysis, Automation, Autonomic IT
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Crawl, Walk, Run: Implementing AI and Generative AI on Your Journey to Autonomic IT 

As organizations in the public sector continue to undergo what Deloitte has called a “radical transformation” and embrace new, innovative technologies, they’re seeing improvements in everything from agility to customer experience. And, the good news is that innovation tends to breed more innovation, meaning the digital transformation of the last two decades laid the groundwork… Continue reading The Future of Data Compliance in the Public Sector: Trends and Predictions 

Published October 10, 2024
Categorized as AI/ML, Automated Root Cause Analysis, Automation, Federal, Observability, Security
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The Future of Data Compliance in the Public Sector: Trends and Predictions 

Strong observability in cloud environments is essential for monitoring the health of interconnected systems. Unlike traditional monitoring, which is limited to specific cloud stacks or devices, observability provides comprehensive visibility across the entire hybrid IT infrastructure including applications, IT systems and services.   This visibility is crucial for viewing the real-time status of technical operations and… Continue reading Comprehensive Observability: Key Availability and Reliability Metrics to Monitor in Cloud Environments

Published October 4, 2024
Categorized as AI/ML, Automated Root Cause Analysis, Observability
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Comprehensive Observability: Key Availability and Reliability Metrics to Monitor in Cloud Environments

As AI capabilities become more powerful and expansive across IT operations and use cases, the marketplace has become crowded with contenders looking to provide solutions. But when smart enterprise buyers size up their options, ScienceLogic invariably stands out with key business differentiators that showcase why we win and stand apart from the competition. Standing Out… Continue reading Why We Win: ScienceLogic’s Business Differentiators

Published September 26, 2024
Categorized as AI/ML, AIOps, Automated Root Cause Analysis, Autonomic IT, Observability, ScienceLogic
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Why We Win: ScienceLogic’s Business Differentiators

Artificial intelligence (AI) and generative AI – they may sound similar, but how do they differ? Although these terms are often used interchangeably, generative AI is actually a subtype of AI.   At ScienceLogic, we use many different types of AI, from machine learning to generative AI, to analyze IT environments, provide insights to help IT… Continue reading The Difference Between AI and Generative AI, and How ScienceLogic Uses Both

Published September 20, 2024
Categorized as AI/ML, Automated Root Cause Analysis, Autonomic IT
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The Difference Between AI and Generative AI, and How ScienceLogic Uses Both

Reimagine What IT Can Be, Introducing Skylar AI  Fragmented insights. Limited visibility. Unreliable solutions. For too long, traditional IT tools have not just failed – they’ve actively sabotaged both IT departments and businesses at large. These antiquated systems drain high-value engineering resources, crush frontline support teams, and turn problem resolution into an endless, futile struggle. … Continue reading Reimagine What IT Can Be, Introducing Skylar AI

Published July 25, 2024
Categorized as AI/ML, Automated Root Cause Analysis, ITOps
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Reimagine What IT Can Be, Introducing Skylar AI

IT downtime is no doubt a costly business. As soon as service starts to degrade, companies start to lose money. Studies by Gartner and IBM show that the average cost of unplanned downtime to enterprises ranges between a staggering $5,600 and $9,000 per minute. For ecommerce businesses, like Amazon, the stakes are even higher, potentially… Continue reading The Business Cost of Downtime and How AIOps Enables Faster Fixes

Published February 8, 2024
Categorized as AIOps, Automated Root Cause Analysis, ScienceLogic, SL1
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As a leader in AI for IT OPs (or AIOPs), ScienceLogic empowers intelligent, automated IT operations with actionable insights to predict and identify problems faster. Our technology eliminates the difficulty of managing complex, distributed IT services and help businesses fulfill the promise of IT automation and autonomic IT. The ScienceLogic AI Platform combines hybrid cloud monitoring solutions with tools for application monitoring, IT workflow automation, observability, network management, and more. Software for automated root cause analysis helps diagnose issues 10x faster and reduces mean time to repair. By combining multiple solutions on one platform, ScienceLogic enables IT tools consolidation for streamlined problem-solving and lower TCO. With ScienceLogic, customers can manage IT environments at speed, at scale, and in real-time.

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