Operations | Monitoring | ITSM | DevOps | Cloud

The Role of Data and AI in Shaping Modern Maintenance Practices

The Role of Data and AI in Shaping Modern Maintenance Practices

Apr 21, 2025 By OpsMatters In OpsMatters
In today's industrial landscape, maintenance operations are undergoing a dramatic transformation. Gone are the days of reactive fixes and estimating when equipment might fail. Instead, companies are harnessing the power of data analytics and artificial intelligence to predict issues before they occur, optimize resources, and drive better business outcomes. This digital revolution is reshaping how organizations approach maintenance, creating smarter systems that learn, adapt, and improve over time. Let's explore how data and AI are revolutionizing maintenance practices across industries.
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AI-Enabled Automotive Prototyping: Reducing Development

AI-Enabled Automotive Prototyping: Reducing Development Cycles with Rapid Tooling and Casting

Apr 21, 2025 By OpsMatters In OpsMatters
The automotive industry must speed up its innovation rate because customers want electric vehicles, autonomous technologies, and more up-to-date features. Manufacturers must use automotive prototyping as an essential procedure throughout the product development phase in current rapid production environments. Before large-scale manufacturing, manufacturers can use this method to verify product designs and test performance while resolving technical obstacles.
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lumigo

Lumigo brings AI-powered observability directly into your Microsoft Teams workflow

Apr 19, 2025 By Orr Weinstein In Lumigo
We’re excited to announce that Lumigo Copilot is now integrated with Microsoft Teams, extending the power of our AI observability assistant beyond Slack and into your Teams-based workflows. Until now, Lumigo Copilot worked exclusively within Lumigo’s UI and Slack, where teams instantly ask questions about issues, receive AI-generated observability insights, and take action without leaving their collaboration space.
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selector

Why Data Harmonization is Critical to Your AIOps Strategy

Apr 18, 2025 By Dallon Robinette In Selector
Picture this: Your phone rings in the middle of the night. It’s your engineering lead, calling to inform you of a significant outage affecting your customer-facing services. As your network operations team jumps into action, they’re greeted with chaos. Over 40 alerts flood their screens simultaneously. Your network, infrastructure monitoring, and application performance monitoring tools all fire independently, each with its own dashboard and presenting data in incompatible formats.
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Why Reliability Starts with the Network, even in the AI era, with Marino Wijay

Apr 17, 2025 By Rootly In Rootly
In this episode, we explore how networking has shaped reliability as we know it. Marino Wijay cloud networking expert and Staff Solutions Architect at Kong shares how his journey began not as an SRE, but with cables, routers, and switches. Marino explains the evolution of the fabric holding systems together through virtualization, and how software-defined networking, which is now a key element to resilient applications.
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circleci

CI/CD preprocessing pipelines in LLM applications

Apr 17, 2025 By Muhammad Arham In CircleCI
In Large Language Model (LLM) applications, the quality of the training data is paramount in determining the final model performance. One of the most important steps in preparing datasets is cleaning and transforming raw data into similar and usable formats. However, this process can be tedious and time-consuming when done manually. Automating these data cleaning workflows is essential to improve efficiency and maintain consistency across multiple datasets.
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Colo is not dead. | Uplink Podcast | Episode 4

Apr 17, 2025 By Megaport In Megaport
Colo is not dead. Forget cloud-only strategies—AI is driving a resurgence in colocation and a rethink of what hybrid infrastructure really means. AI has flipped the script on how we think about digital infrastructure. In this episode, we’re joined by TierPoint SVP Don Schuett to explore how the surge in AI demand has fundamentally reshaped the data center industry—impacting everything from hardware design to real estate strategy.
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Kentik

The Hidden Cost of DIY AI in Network Operations

Apr 17, 2025 By Phil Gervasi In Kentik
While AI offers powerful benefits for network operations, building an in-house AI solution presents major challenges, particularly around complex data engineering, staffing specialized roles, and maintaining models over time. The effort required to handle real-time telemetry, retrain models, and manage evolving environments is often too great for most IT teams.
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