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The Hidden Cost of “Modernization”: When Upgrades Become Extortion
Across the IT and observability landscape, enterprise leaders are facing a troubling pattern. A trusted vendor announces a “modernization initiative,” often following a major acquisition …
Read now95% of AI Pilots Fail — Here’s How to Be the 5%
When MIT released research showing that 95% of enterprise AI pilots fail to deliver measurable business impact, it made headlines for a reason. After years …
Read nowThe Hidden Barrier to Network Automation Isn’t Your AI — It’s Your Data
For years, the promise of AI-driven network automation has loomed large. Vendors and analysts alike have painted a future where autonomous operations handle outages before …
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2023 Data Science Interns Crack the Code at Selector
What do you get when you combine hands-on learning, team mentoring, and coding skills over long, hot summer days? One of the best internships ever …
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How Selector Analytics Enhances Optical Transceiver Visibility
In 2017 Gartner reported that optical transceivers accounted for approximately 10-15% of the enterprise network capital spending. During this time, you have likely purchased your …
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Metadata in Network Observability: A First-Class Citizen in Selector
Metadata in network observability provides the context that transforms raw logs, metrics, and events into meaningful insights. Whether in the form of key-value labels or …
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Understanding Observability Platforms
For those unfamiliar with observability, it can be defined as the ability to monitor and measure the behavior and state of an internal system from …
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Mass Customization in AIOPs: Building Your Own Use Cases with Selector
Some of you may be considering embarking on an AIOps journey for your network or IT infrastructure. There are three different paths you can choose …
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Network Anomaly Detection Algorithms in Selector’s Platform
Network operations management is defined as the activities performed by networking staff to monitor, manage, and respond to alerts on a network’s availability and performance. …
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Why Metadata in AIOPs is Fundamental to Success
Metadata is often described as “data about data”—key‑value pairs, labels, or tags that provide the context needed to make raw data meaningful. In the world …
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What are the key reasons organizations are adopting AIOps?
Artificial intelligence (AI) has been around for years, and we’ve all experienced firsthand some real-world examples such as self-driving cars, smart assistants, marketing chatbots, and …
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Log Message Extraction Without Regular Expressions
Network operation engineers must deal with log messages generated by multiple devices and technologies. Log message extraction is crucial because these messages carry valuable information, …
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