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How to Get Started With AIOps - Smarter With Gartner Mar 26, 2019 ... AIOps platforms combine big data and ML functionality to enhance and partially replace all primary IT operations functions, including availability ... https://www.gartner.com/smarterwithgartner/how-to-get-started-with-aiops/

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AIOps in 2020: A Beginner's Guide – BMC Blogs Apr 17, 2020 ... AIOps stands for artificial intelligence for IT operations. It refers to multi-layered technology platforms that automate and enhance IT operations ... https://www.bmc.com/blogs/what-is-aiops/

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What is AIOps? | AppDynamics The term "AIOps” stands for "artificial intelligence for IT operations.” Originally coined by Gartner in 2017, it refers to the way data and information from an ... https://www.appdynamics.com/central-nervous-system/what-is-ai-ops

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What is AIOps? | IBM Apr 15, 2020 ... Learn the basics of AIOps, an emerging discipline that leverages machine learning, analytics, artificial intelligence, and other technologies to ... https://www.ibm.com/cloud/learn/aiops

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What Is AIOps? | A Guide to Everything You Need to Know About ... AIOps is the application of artificial intelligence to IT operations. It has become essential for monitoring and managing modern IT environments that are hybrid, ... https://www.moogsoft.com/resources/aiops/guide/everything-aiops/

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AIOps Platforms & AI as a Service | Splunk Artificial intelligence is the brain of intelligent IT Operations. Powered by machine learning, AIOps enables IT teams to be more efficient and effective. https://www.splunk.com/en_us/artificial-intelligence-aiops.html

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AIOps What is AIOps? AIOps applies AI, machine learning and data science for proactive, automated remediation for IT teams to deliver superior customer experiences ... https://www.broadcom.com/solutions/bizops/aiops

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AIOps Networking Solutions | Aruba Artificial intelligence for IT operations (AIOps) that improves the performance and reliability of today's Intelligent Edge networks. Contact Aruba to learn more. https://www.arubanetworks.com/solutions/aiops/

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What is AIOps? • ScienceLogic AIOps or artificial intelligence for IT operations is a term first coined by Gartner. It is the application of advanced analytics—in the form of machine learning (ML) ... https://sciencelogic.com/solutions/aiops

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What Is AIOps — And Why You Should Care – The New Stack Aug 19, 2019 ... The basic definition of AIOps is that it involves using artificial intelligence and machine learning to support all primary IT operations. The goal is to ... https://thenewstack.io/what-is-aiops-and-why-you-should-care/

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What Is AIOps — And Why You Should Care – The New Stack Aug 19, 2019 ... The basic definition of AIOps is that it involves using artificial intelligence and machine learning to support all primary IT operations. The goal is to ... https://thenewstack.io/what-is-aiops-and-why-you-should-care/

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AIOps Platforms - Andrew Lerner Aug 9, 2017 ... AIOps platforms utilize big data, modern machine learning and other advanced analytics technologies to directly and indirectly enhance IT ... https://blogs.gartner.com/andrew-lerner/2017/08/09/aiops-platforms/

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What is AIOps (artificial intelligence for IT operations)? - Definition ... AIOps data comes from log files, metrics and monitoring tools, helpdesk ticketing systems and other sources. Big data technologies aggregate and organize all of ... https://searchitoperations.techtarget.com/definition/AIOps

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What is AIOps? Artificial Intelligence for IT Operations | Zenoss AIOps stands for artificial intelligence for IT operations. Full-stack monitoring plus AIOps gives visibility and context not provided by AIOps tools alone. https://www.zenoss.com/solutions/aiops

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What is AIOps? | Resolve Systems AIOps, or Artificial Intelligence for IT Operations, is the next generation of IT operations analytics. AIOps helps enterprises address complex IT challenges, including ... https://resolve.io/what-is-aiops

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What is AIOps and Why it Matters - YouTube Aug 7, 2019 ... Viki Paige, Director of AIOps Solution Marketing for the Enterprise Software Division at Broadcom cuts through the hype around AI and ML and ... https://www.youtube.com/watch?v=zmqpdqBIj4o

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Artificial Intelligence for IT Operations (AIOps) | Dynatrace AIOps platforms free ITOps and drive better business outcomes, by ingesting operations data to identify and resolve issues automatically. The core of an AIOps ... https://www.dynatrace.com/platform/aiops/

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AIOps - What is AIOps? - ServiceNow AIOps: Gain visibility, manage health, and optimize digital assets and services. See Brief. https://www.servicenow.com/solutions/aiops.html

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AIOps Exchange - An Exclusive Forum Defining the Future of AIOps AIOps Exchange is a private, not for profit forum committed to the open exchange of ideas, trends and best practices defining the future of AIOps. https://www.aiops-exchange.org/

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Using AIOps to Reduce Incident Volumes - YouTube Jun 3, 2019 ... In this presentation, we explore challengs of adopting AIOps, and provide examples of how AIOPs can be used to reduce Mean Time To ... https://www.youtube.com/watch?v=6r32rGqY_Xs

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AIOps | LogicMonitor AIOps. Machine learning and artificial intelligence provides an Early Warning System for IT operation teams; powered by LM™ Intelligence. Try it free. https://www.logicmonitor.com/aiops

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5 Ways AIOps Will Influence Enterprise IT Operations Jul 6, 2018 ... AIOps, the convergence of AI and ITOps, will change the face of infrastructure management. This technology will impact both enterprise data ... https://www.forbes.com/sites/janakirammsv/2018/07/06/5-ways-aiops-will-influence-enterprise-it-operations/

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Nia AIOps Nia AIOps uses Big Data and scalable AI Models to consume log files, events, and metrics to uncover anomalous patterns occurring in the IT landscape. https://www.edgeverve.com/artificial-intelligence/nia/nia-aiops/

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What is AIOps? | Micro Focus AIOps applies big data analytics and machine learning to IT operations data to identify patterns and enhance common processes and tasks. Learn more here. https://www.microfocus.com/en-us/what-is/aiops

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DevOps and AIOps: Better Together - DevOps.com May 7, 2020 ... DevOps is an attempt to scale technology with humans but AIOps is the ultimate answer. In today's world, where so many essential business ... https://devops.com/devops-and-aiops-better-together/

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AIOps & the Future of Performance Monitoring - Cisco Blogs Jan 25, 2019 ... APM solutions like AppDynamics continue to lead the way when it comes to providing real-time business insights to power mission critical ... https://blogs.cisco.com/cloud/our-vision-for-aiops-the-central-nervous-system-for-it

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How AIOps is transforming IT operations - Workflow™ Dec 18, 2018 ... New AIOps tools can improve IT diagnostics and maintenance but companies need large amounts of training, data and the right human talent ... https://workflow.servicenow.com/it-transformation/aiops-transforming-it-operations/

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What is AIOps and how can organisations apply it to their IT ... Sep 18, 2018 ... Gartner recommends implementing AIOps in phases. Early adopters typically start by applying machine learning to monitoring, operations and ... https://www.computerworld.com/article/3427860/what-is-aiops-and-how-can-it-be-applied-to-it-operations-.html

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Dynatrace AIOps Done Right eBook AIOps Done Right eBook. Automating the Next Generation of Enterprise Software . As today's enterprise systems increase in size, the benefits of digitization and ... https://info.dynatrace.com/global_all_wp_aiops_done_right_ebook_12507_registration.html

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IBM Unveils New AI Designed to Help CIOs Automate IT Operations ... May 5, 2020 ... New Watson AIOps and host of product updates are designed to bring automation to IT infrastructures for greater control, efficiency and ... https://newsroom.ibm.com/2020-05-05-IBM-Unveils-New-AI-Designed-to-Help-CIOs-Automate-IT-Operations-for-Greater-Resiliency-and-Lower-Costs

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What Will AIOps and Machine Learning Mean for IT? | Lakeside ... Feb 14, 2018 ... Short for artificial intelligence for IT operations, AIOps refers to software that combines big data and AI or machine learning to help IT manage data ... https://www.lakesidesoftware.com/blog/what-will-aiops-and-machine-learning-mean-it

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How 'AIOps' is optimizing cloud computing up and down the stack ... Jul 27, 2018 ... Wikibon sees the AIOps market segmenting into two broad solution categories: AI -workload-optimized computing platforms; AI-augmented ... https://siliconangle.com/2018/07/27/aiops-optimizing-cloud-computing-stack/

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What Is AIOps? - New Relic Blog Jan 30, 2020 ... AIOps works by "combining big data and machine learning functionality to analyze the ever-increasing volume, variety and velocity of data ... https://blog.newrelic.com/engineering/what-is-aiops/

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AIOps: Real-World Challenges and Research Innovations ... Jun 1, 2019 ... AIOps can help improve service quality and customer satisfaction, boost engineering productivity, and reduce operational cost. In this technical ... https://www.microsoft.com/en-us/research/publication/aiops-real-world-challenges-and-research-innovations/

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The state of AIOps: What IT can expect in 2020 | TechBeacon AIOps tools and platforms apply machine learning to IT operational data to help correlate alerts from multiple tools, aid incident management teams in identifying ... https://techbeacon.com/enterprise-it/state-aiops-what-it-can-expect-2020

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Kentik Launches the First AIOps Platform for Network Professionals ... Jul 24, 2019 ... Kentik introduces the only AIOps platform specifically for network professionals, announcing significant product developments which expand ... https://www.kentik.com/press-releases/kentik-launches-the-first-aiops-platform-for-network-professionals/

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IT operations analytics - Wikipedia In the fields of information technology (IT) and systems management, IT operations analytics (ITOA) is an approach or method to retrieve, analyze, and report ... https://en.wikipedia.org/wiki/IT_operations_analytics

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Accelerate Incident Response with AIOps | New Relic An introduction to AIOps best practices with New Relic AI. Table of Contents; Introduction; The Rise of AIOps ... https://newrelic.com/resources/ebooks/accelerate-incident-response-with-aiops

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Announcing Azure Monitor AIOps Alerts with Dynamic Thresholds ... Feb 25, 2019 ... Yaniv Lavi Senior Program Manager, Azure Monitor AIOps. We are happy to announce that Metric Alerts with Dynamic Thresholds is now ... https://azure.microsoft.com/en-us/blog/announcing-azure-monitor-aiops-alerts-with-dynamic-thresholds/

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Driving ROI from AIOps – What Can You Expect? Jan 3, 2019 ... Prevention of outages: AIOps uses a tribal knowledge base that is able to automate root-cause analysis, thus reducing the number of P1 incidents ... https://www.loomsystems.com/blog/driving-roi-from-aiops

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discourse diversity:
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Network Structure Insights
 
mind-viral immunity:
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stucture:
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The higher is the network's structure diversity and the higher is the alpha in the influence propagation score, the higher is its mind-viral immunity — that is, such network will be more resilient and adaptive than a less diverse one.

In case of a discourse network, high mind-viral immunity means that the text proposes multiple points of view and propagates its influence using both highly influential concepts and smaller, secondary topics.
The higher is the diversity, the more distinct communities (topics) there are in this network, the more likely it will be pluralist.
The network structure indicates the level of its diversity. It is based on the modularity measure (>0.4 for medium, >0.65 for high modularity, measured with Louvain (Blondel et al 2008) community detection algorithm) in combination with the measure of influence distribution (the entropy of the top nodes' distribution among the top clusters), as well as the the percentage of nodes in the top community.

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Nodes Av Degree Density Weighed Betweenness
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Narrative Influence Propagation:
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The chart above shows how influence propagates through the network. X-axis: lemma to lemma step (narrative chronology). Y-axis: change of influence.

The more even and rhythmical this propagation is, the stronger is the central idea or agenda (see alpha exponent below ~ 0.5 or less).

The more variability can be seen in the propagation profile, the less is the reliance on the main concepts (agenda), the stronger is the role of secondary topical clusters in the narrative.
propagation dynamics: | alpha exponent: (based on Detrended Fluctuation Analysis of influence) ?   show the chart
We plot the narrative as a time series of influence (using the words' betweenness score). We then apply detrended fluctuation analysis to identify fractality of this time series, plotting the log2 scales (x) to the log2 of accumulated fluctuations (y). If the resulting loglog relation can be approximated on a linear polyfit, there may be a power-law relation in how the influence propagates in this narrative over time (e.g. most of the time non-influential words, occasionally words with a high influence).

Using the alpha exponent of the fit (which is closely related to Hurst exponent)), we can better understand the nature of this relation: uniform (pulsating | alpha <= 0.65), variable (stationary, has long-term correlations | 0.65 < alpha <= 0.85), fractal (adaptive | 0.85 < alpha < 1.15), and complex (non-stationary | alpha >= 1.15).

For maximal diversity, adaptivity, and plurality, the narrative should be close to "fractal" (near-critical state). For fiction, essays, and some forms of poetry — "uniform". Informative texts will often have "variable + stationary" score. The "complex" state is an indicator that the text is always shifting its state.

Degree Distribution:
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(based on kolmogorov-smirnov test) ?   switch to linear
Using this information, you can identify whether the network has scale-free / small-world (long-tail power law distribution) or random (normal, bell-shaped distribution) network properties.

This may be important for understanding the level of resilience and the dynamics of propagation in this network. E.g. scale-free networks with long degree tails are more resilient against random attacks and will propagate information across the whole structure better.
If a power-law is identified, the nodes have preferential attachment (e.g. 20% of nodes tend to get 80% of connections), and the network may be scale-free, which may indicate that it's more resilient and adaptive. Absence of power law may indicate a more equalized distribution of influence.

Kolmogorov-Smirnov test compares the distribution above to the "ideal" power-law ones (^1, ^1.5, ^2) and looks for the best fit. If the value d is below the critical value cr it is a sign that the both distributions are similar.
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Main Keywords in Context
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The topics are the nodes (words) that tend to co-occur together in the same context (next to each other).

We use a combination of clustering and graph community detection algorithm (Blondel et al based on Louvain) to identify the groups of nodes are more densely connected together than with the rest of the network. They are aligned closer to each other on the graph and are given a distinct color.
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We use the Jenks elbow cutoff algorithm to select the top prominent nodes that have significantly higher influence than the rest.

Click the Reveal Non-obvious button to remove the most influential words (or the ones you select) from the graph, to see what terms are hiding behind them.

The most influential nodes are either the ones with the highest betweenness centrality — appearing most often on the shortest path between any two randomly chosen nodes (i.e. linking the different distinct communities) — or the ones with the highest degree.
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The structural gap between the two topics above shows the two distinct communities (clusters of words) in this graph that are important, but not yet connected. That's where the new potential and innovative ideas may reside.

This measure is based on a combination of the graph's connectivity and community structure, selecting the groups of nodes that would either make the graph more connected if it's too dispersed or that would help maintain diversity if it's too connected.

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Top Relations
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The most prominent relations between the nodes that exist in this graph are shown above. We treat the graph as undirected by default as it allows us to better detect general patterns.

As an option, you can also downloaded directed bigrams above, in case the direction of the relations is important (for any application other than language).
Please, enter a search query to visualize the difference between what people search for (related queries) and what they actually find (search results):

 
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Find a market niche for a certain product, category, idea or service: what people are looking for but cannot yet find*

 
We will build two graphs:
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