Any application monitoring solution should maintain an open design, build upon proven technologies, be accessible, and require a low learning curve. The end goal is simple: provide teams with the ability to identify issues or unexpected behavior within minutes, if not seconds. The ELK Stack meets these expectations and more. In this Refcard, you'll cover the basic components of the ELK Stack, how it maps to a log analysis workflow, and step-by-step instructions for installation, configuration, and reporting.
NLP is one of the most crucial components for structuring a language-focused AI program, for example, the chatbots which readily assist visitors on the websites and AI-based voice assistants or VAs. NLP as the subset of AI enables machines to understand written language and interpret the intent behind it by various means. A hoard of other tasks is being added via NLP like sentiment analysis, text classification, text extraction, text summarization, speech recognition, auto-correction, etc.
However, NLP is being explored for many more tasks. There have been many advancements lately in the field of NLP and also NLU (natural language understanding) which are being applied on many analytics and modern BI platforms. Advanced applications are using ML algorithms with NLP to perform complex tasks by analyzing and interpreting a variety of content.
These are signals to pick up on and investigate during framework selection.
When you select frameworks, you check their website first, which is part of their marketing. There's a lot more information in this marketing than you might realize.
This article will take you through some good, bad, and warning signs in framework marketing. These are signals to pick up on and investigate during framework selection.
Learn more about testing new frameworks with this reversible real-world trial.
When selecting an open-source framework, the proof of the pudding is in the eating. You did your research, you did a thorough review process, and one candidate stood out among the rest and offered the best solutions for your use case.
So, the framework looks great, but does it really live up to all of its promises? You must test it thoroughly before adopting it for good. You know that a "try-me" tutorial is not enough. However, performing a real test is a lot of work.
