You weren’t expecting a part three of this series, right? Well honestly, me neither. But after working together with you on the POC where we firstly crawled the NetEye Guide and applied ELSER to the resulting documents, and then we exploited its semantic search capabilities in the NetEye Guide search, we asked ourselves, what if…
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In my previous blog post, we saw how it’s possible to index some documents that we created by crawling our NetEye User Guide, then applying the ELSER model in Elasticsearch to create a bag of words for searching that takes into account the context of the various documents. Moreover, we also performed a simple query…
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Once upon a time (in fact it was just a month ago, but it sounds more dramatic this way) I had the opportunity to attend a webinar about Vector Search, Generative AI, and modern NLP by the Elastic Team. One of the topics that was touched on during the webinar was ELSER , Elastic’s new…
Read MoreIn my previous post, we saw how it’s possible to build a simple Grafana Data Source Plugin, which we can use to read data from whatever source we’d like to use. In particular, we used it to read data from a simple web service we created so we could expose data containing some outliers. In…
Read MoreThese days we live in a data-driven world, where the collection and analysis of data empowers not only companies but also individuals to plan future actions based on the information that is extracted. NetEye enables both the collection and analysis of an enormous amount of data using various platforms, such as Kibana, for data written…
Read MoreWith the rapidly advancing digitalization of the economy, the availability of IT is becoming business-critical. Unplanned downtime is no longer acceptable, 24/7 operation is indispensable. For administrators, this means that they have to identify incidents before they lead to damaging behaviors in business processes. AIOps promises support in this direction. The digital transformation or our…
Read MoreArtificial Intelligence (AI) refers to hardware or software that exhibits behavior which appears intelligent. Machine Learning is a field of computer science that gives computers the ability to learn without being explicitly programmed. Deep Learning is part of a broader family of machine learning methods based on learning data representations, as opposed to task-specific algorithms….
Read MoreMachine learning and anomaly detection are being mentioned with increasing frequency in performance monitoring. But what are they and why is interest in them rising so quickly? From Statistics to Machine Learning There have been several attempts to explicitly differentiate between machine learning and statistics. It is not so easy to draw a line between…
Read MoreWatch the videos and get the slides of our two talks: Machine Learning and Advanced Statistics for Performance Monitoring and End User Experience Monitoring for Cloud Applications
Read MoreWe are proud to announce that two of our colleagues will hold a speech at this year’s South Tyrol Free Software Conference (SFScon 2016) which takes place on November, 11th at the IDM Südtirol at Bolzano.
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