The Role of Generative AI in the Metaverse
Discover how Generative AI transforms the metaverse, enhancing virtual experiences and app development services.
Operations | Monitoring | ITSM | DevOps | Cloud
The Place Where Modern Operations & Technology Come Together
Latest News
From alert fatigue to AI-driven efficiency: Introducing Edwin AI for IT operations
Imagine having a super-intelligent teammate who can anticipate IT problems before they arise, streamline incident management, and provide crystal-clear insights into your IT landscape. This isn’t science fiction—it’s the reality with Edwin AI, LogicMonitor’s newest innovation in AI for IT operations.
AI Change Management: What, why, how and Tools
Organizations are constantly faced with the need to adapt and change to stay competitive. AI change management has emerged as a powerful tool to help companies navigate these challenges. By leveraging artificial intelligence (AI) technologies, organizations can streamline their change management processes, improve communication, and drive successful outcomes.
Charmed Kubeflow 1.9 enters general availability with new support for GenAI
Kubeflow 1.9. Kubeflow is a fully open source MLOps platform, part of the Cloud Native Computing Foundation (CNCF) as an incubation project. Canonical is one of the project’s official distributors, ensuring security maintenance of the container images, tight integration with the wider AI/ML ecosystem, and delivering enterprise support and managed services. The latest release offers new features related to GenAI, enabling organisations to run any new initiative in production.
Without AI, Your Telemetry Data Pipeline Sucks
History is filled with stories of human triumph. One of the most famous such stories is that of John Henry, “The Steel Driving Man.” As the traditional American folk story goes, John Henry and his fellow workers were faced with the arrival of the steam engine, which threatened to replace their manual labor. To prove that human strength and skill could outperform the new technology, John Henry challenged the machine to a contest.
Steps to AIOps maturity: Improve MTTR with AI
Many organizations face increased costs from excess noise, manual workflows, and long outage times. These inefficiencies negatively impact budget, service uptime, and, ultimately, customer satisfaction. With effective use of AI, you can give operators the most relevant, full-context incident data, providing a greater understanding of an incident within seconds.
Setting the Record Straight: AI Does Not 'Exist to Harm or Take Over Things' (Like Some People Have Been Led to Believe)
I’ve been working with artificial intelligence (AI) for a long time, so I’m always curious to hear what new engineers think about its potential impact on our lives and the world at large. That’s why I recently sat down with Saliha Demir on our podcast.
PagerDuty Expands Generative AI Solutions with PagerDuty Advance to Mitigate Risk of Operational Outages
With AI-powered capabilities, enterprises can accelerate strategic roadmap initiatives, build more resilient operations and drive digital transformation initiatives.
Sponsored Post
Improving Patch and Vulnerability Management with Proactive Security Analysis
Vulnerability management is the continuous process of identifying and addressing vulnerabilities in an organization's IT infrastructure, while patch management is the process of accessing, testing, and installing patches that fix bugs or address known security vulnerabilities in software applications. Vulnerability management and patch management are crucial SecOps processes that protect IT assets against cyber threats and prevent unauthorized access to secure systems. Effectiveness in patch management and vulnerability management depends on a proactive approach to cybersecurity where enterprise SecOps teams take steps to anticipate and prevent cyber attacks before they happen.
Comparing Generative AI Offerings From Major Cloud Providers
In the last two years, generative AI offerings have exploded in the cloud space (and everywhere else). Major Cloud Service Providers (CSPs) are perfectly positioned to lead these efforts thanks to the fact that they offer the very resources they require to build these models, and their customers are naturally early adopters and heavy users of AI.