LogicMonitor Modernizes Data Centers With New AI Applications
LogicMonitor, a SaaS-based platform for AI-powered data center transformation, today unveiled its latest features to transform modern data centers and drive operational efficiency for IT operations (ITOps). Enhancing performance, reliability, and cost efficiency, this release empowers IT teams with full visibility into AI workloads and applications, and introduces upgrades to LogicMonitor's flagship GenAI Agent, Edwin AI.
As enterprises scale AI workloads across complex IT environments spanning on premises and multiple cloud infrastructures, unified observability is crucial. Recent research from EMA shows 63% of organizations have achieved 'proactive' or 'dynamic' operations through AI-powered ITOps. By enabling teams to anticipate and resolve issues before they escalate, AI-powered automation drives efficiency. LogicMonitor's latest innovations build on this momentum with innovations that enhance automation, intelligence, and insights for seamless performance across modern data centers.
Expanding Best-in-Class AI-Powered Observability
The latest enhancements to LogicMonitor Envision platform enable IT teams to keep pace with rapid technological growth and transformation while ensuring maximum reliability and performance in their IT environments.
New enhancements include: Comprehensive AI Workload Monitoring – Expanded support for Amazon Q Business and Nvidia GPUs, allowing IT teams to monitor and optimize AI-driven applications with confidence from a single pane of glass.
– Expanded support for Amazon Q Business and Nvidia GPUs, allowing IT teams to monitor and optimize AI-driven applications with confidence from a single pane of glass. Hybrid Kubernetes Observability – New EKS and AKS support ensures seamless visibility into AI workloads deployed in cloud-based containerized environments, enhancing AI workload reliability.
– New EKS and AKS support ensures seamless visibility into AI workloads deployed in cloud-based containerized environments, enhancing AI workload reliability. New Cost Optimization Dashboards – Integrated cost visibility and recommendations help IT teams manage compute-intensive AI workloads more efficiently, balancing performance, cost, and sustainability.
'AI is transforming IT operations, and enterprises need an observability platform that leads the way. LogicMonitor delivers the most advanced AI-powered capabilities, providing unmatched visibility, intelligence, and automation,' said Karthik SJ, GM of AI, LogicMonitor. 'With our latest agentic AIOps enhancements, IT teams can seamlessly manage the surge of AI workloads while maximizing performance and efficiency.'
Faster Insights and Resolution with Agentic AIOps
Edwin AI, LogicMonitor's purpose-built GenAI Agent, brings intelligence and automation to IT operations, enabling IT teams to work more quickly and effectively. Leveraging agentic AIOps, Edwin AI delivers up to 90% alert noise reduction and a 20% improvement in operational efficiency by autonomously automating troubleshooting, prioritizing critical alerts, and accelerating resolution workflows – reducing MTTR and minimizing downtime.
Key enhancements to include: Intelligent Alert Prioritization – AI-powered alert filtering and prioritization cut through the noise, ensuring IT teams focus on the most critical incidents first.
– AI-powered alert filtering and prioritization cut through the noise, ensuring IT teams focus on the most critical incidents first. Faster Root Cause Analysis – Instance-level metadata correlation surfaces relevant past incidents, accelerating troubleshooting.
– Instance-level metadata correlation surfaces relevant past incidents, accelerating troubleshooting. AI-Powered Recommendations – Actionable remediation guidance reduces manual intervention and speeds up incident resolution.
– Actionable remediation guidance reduces manual intervention and speeds up incident resolution. Extensive Third-Party Integrations – Seamlessly connects with PagerDuty, Dynatrace, ConnectWise, and other key IT operations tools to unify insights and workflows.
Global customers are already recognizing the value of LogicMonitor's AI-powered enhancements in their IT environments.
'LogicMonitor's AI features demonstrate a commitment to providing users with a one-stop platform for predictive analytics that will add continued value in our future state IT infrastructure environments,' said Sean Blosser, Director of IT at Markel. 'We believe this AI-enhanced tool will provide extremely valuable insights and efficiencies for our operations and will help us elevate our IT performance.'
Accelerating the Future of AI-Powered IT Operations
As part of its ongoing commitment to innovation, LogicMonitor is also introducing enhancements to its embedded log analysis to streamline troubleshooting while lowering costs. IT teams can now instantly access relevant log data and leverage AI-powered log correlation—without expensive storage fees or complex query languages—reducing downtime, improving service reliability, and optimizing operational efficiency. 0 0
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Tahawul Tech
18 hours ago
- Tahawul Tech
Nintendo Switch 2 Archives
"We're entering this transition from a position of strength and bringing real-world experience to meet the demands of the AI factory". Learn more about @Vertiv's alignment with @nvidia below. #Vertiv #NVIDIA #tahawultech
Martechvibe
a day ago
- Martechvibe
Why Most Businesses Are Still Struggling to Win with AI
AI is everywhere. It's the cornerstone of transformation roadmaps, the centrepiece of boardroom conversations, and increasingly, the north star of enterprise innovation. A recent Qlik study revealed that 86% of senior executives say AI is now central to their organisation's business strategy. Yet, only a small fraction are seeing the meaningful business outcomes they hoped for. A parallel report by Kyndryl paints a similar picture. Despite the enthusiasm, most businesses are still stuck in the early phases of AI maturity. Only 5% of organisations are considered 'AI Pacesetters'— those that successfully use AI at scale and see significant returns. So what's going wrong? The AI Execution Gap Is Real Both reports point to a sobering truth: strategy alone isn't enough. There's a wide and growing gap between AI ambition and AI execution, and it's costing companies time, money, and competitive advantage. 'Organisations clearly recognise that merely investing in AI is insufficient; what matters now is delivering tangible outcomes. Yet, as our research underscores, the road to production AI remains blocked by persistent hurdles—cost, complexity, and data fragmentation,' said Mike Capone, CEO of Qlik. Closing the AI execution gap requires more than aspiration—it demands practical solutions that simplify data integration, ensure governance, and empower better decision-making. This pressure is even more intense with generative AI dominating leadership agendas. The pace of genAI evolution amplifies organisational anxiety and widens the gap between intent and capability. Eric Hanselman, Chief Analyst at S&P Global Market Intelligence, said, 'The fast-evolving GenAI landscape pressures enterprises to move swiftly, sometimes sacrificing caution as they strive to stay competitive. Many are deploying GenAI tools before fully understanding their implications, especially with the surge of SaaS platforms embedding genAI capabilities.' Recent research from S&P, 'The 2025 Thales Data Threat Report' revealed that nearly 70% of organisations consider the fast pace of generative AI development the leading challenge tied to AI adoption, followed by concerns over integrity (64%) and trustworthiness (57%). Enterprises are leveraging AI to accelerate product development, enhance CXs, improve training, speed drug discovery, and optimise operations. However, the rapid adoption of genAI introduces complex challenges that organisations must navigate carefully. The Five Core Blockers Include: 1. Workforce Inertia and Fear Kyndryl found that 71% of leaders believe their workforce isn't ready to adopt AI. 45% say there's active resistance or even fear of job displacement due to AI. 2. Talent and Skills Shortages Over half of the organisations surveyed (51%) admit they lack the necessary AI-skilled talent to scale effectively. Many are not investing fast enough in reskilling or change management. 3. Data Complexity Qlik's report shows most organisations are bogged down by fragmented data systems, legacy infrastructure, and inconsistent governance models. Nearly 80% of respondents say these issues are their biggest barriers to realising AI's full potential. 4. Leadership Disconnects
Al Etihad
2 days ago
- Al Etihad
UAE tops region for most skilled workforce, says report
6 June 2025 01:39 ISIDORA CIRIC (ABU DHABI)The UAE workforce is the most skilled in the Middle East and North Africa, according to Coursera's latest report. The country also leads the Arab world across all major categories, including business, technology, data skills, and AI maturity, positioning itself as the region's leading hub for digital readiness and Global Skills Report 2025, published by Coursera on Wednesday, draws from the learning activity of more than 170 million users worldwide and benchmarks performance across over 100 accompanying AI Maturity Index provides a broader view, factoring in academic publications and metrics from the IMF and OECD to measure national progress in AI research, innovation, and UAE ranked 38th globally overall, 17th in business, 46th in data, 53rd in technology, and 32nd in AI maturity, making it the top performer in the Arab world across all four categories, and first in MENA when it comes to overall skills readiness.'The UAE is positioning itself for a tech-driven future, with 87% of employers emphasising technological literacy, AI, and big data as their top priorities,' the report said, linking the country's performance to its national efforts to transition into a knowledge-based economy powered by skilled Emirati country also boasts the highest rate of Coursera learners in the region, with 13% of its labour force actively engaged on the platform. As the total learner base reaches 1.3 million, the UAE's appetite for digital skills shows no signs of slowing to the report, GenAI course enrolments alone surged by 344% year on year — more than double the regional growth rate — while professional certificate and cybersecurity enrolments jumped by 41% and 14%, are playing an increasingly active role in this transition, accounting for 21% of GenAI learners in the UAE, 24% of those enrolled in STEM-related fields, and 23% in professional certificate programmes. Learning habits reflect a younger, mobile-first generation, with 41% of users accessing courses via mobile, and a median learner age of the employer side, demand is rising sharply for expertise in AI and machine learning (up 139%) and customer service (up 96%), while top learner skills in the UAE ranged from corporate accounting and predictive analytics to emerging technologies and leadership development. The UAE's broader economic and policy frameworks are a key driver of this momentum, the report said, pointing out the We the UAE 2031 strategy and workforce development programmes like Nafis, which 'are exceeding private-sector employment targets' and form part of a national vision for a tech-enabled society centred around innovation and competencies. Building on this foundation, the country deployed a wider set of strategies, such as UAE Vision 2030, the Strategy for the Fourth Industrial Revolution, the Emirates Blockchain Strategy, and the UAE Centennial 2071, to support the growth and prosperity of future-focused business sectors.
