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(This message was added in version 6.7.0.) in /home/mother99/jacksonholdingcompany.com/wp-includes/functions.php on line 6114Part 5 of the six-part series \u2013 <\/em>The 2023 Global Networking Trends Report series<\/em><\/a>\u00a0<\/strong><\/p>\n The distributed workforce\u2015and the distributed applications and services they consume\u2015have vastly changed the enterp\u2026 Read more on Cisco Blogs<\/a><\/p>\n \u200b<\/p>\n Part 5 of the six-part series \u2013 <\/em>The 2023 Global Networking Trends Report series<\/em><\/a>\u00a0<\/strong><\/p>\n The distributed workforce\u2015and the distributed applications and services they consume\u2015have vastly changed the enterprise network paradigm. Many connections\u2014such as private cloud, internet, public cloud, multicloud, and software-as-a-service (SaaS) networks\u2014now begin and end outside of the traditional corporate infrastructure. The coexistence of these complex connections creates new layers of operational complexity for teams responsible for ensuring predictable performance and quality of service.<\/p>\n What is needed to combat this complexity is a network assurance platform that includes true end-to-end visibility capabilities. Insight is needed into users and their devices, locations, and connected things, as well as into access networks, network services, multiple clouds, and corporate enterprise data centers and applications (Figure 1). A solution that combines these different data sets and uses artificial intelligence and machine learning (AI\/ML) to analyze the data, can help drive decisions that make network operations proactive and predictive, instead of reactive.<\/p>\n <\/a>Figure 1.<\/strong> Span of end-to-end visibility required (click to enlarge)<\/p>\n In our 2023 Global Networking Trends Report<\/a>, nearly half (47%) of respondents said they are prioritizing the adoption of predictive network analytics over the next two years, primarily to help with managing the connectivity and digital experience of their remote workforce.<\/p>\n A predictive network analytics solution requires the ability to correlate massive amounts of network data in real time and at tremendous scale. By continuously analyzing performance data and applying predictive modeling to forecast conditions and recommend actions, predictive capabilities can become a reality. Predictive analytics empowers teams to avoid adverse application impacts to distributed workers and to ensure the best possible user experience.<\/p>\n For the software-defined WAN (SD-WAN), a platform that uses artificial intelligence for IT operations (AIOps) can provide predictive analytics to forecast performance (Figure 2). AIOps refers to the strategic use of AI, ML, and machine reasoning (MR) technologies to simplify and streamline IT processes and optimize the use of IT resources. By correlating and analyzing real-time and historical SD-WAN performance data and applying predictive models, AIOps can use these forecasts to deliver per-site recommendations for optimal path selection by application type to deliver an optimal experience based on available paths.<\/p>\n By integrating predictive analytics into SD-WAN solutions, IT teams can improve dynamic enforcement of application service levels with intelligent routing across alternative paths before any degradation occurs.<\/p>\n <\/a><\/p>\n Figure 2.<\/strong> Predictive analytics through a continual feedback loop (click to enlarge)<\/p>\n Combining traffic data sets from an organization\u2019s ecosystem of ISPs, cloud providers, SaaS applications, and other external services, further enriches predictive analytical systems. Operations teams can rapidly identify, escalate, and remediate issues with providers using internet telemetry data. When outage behavior is detected, a root cause can be identified and shared with providers to prioritize fixes or escalate to peers and transit providers.<\/p>\n When Insight Global\u2014one of the largest staffing agencies in the United States\u2014allowed its employees to return to the office, they leveraged information from ThousandEyes\u2019 WAN Insights to optimize its SD-WAN policies and improve application experiences proactively and continuously. Once the solution was in place, they gained greater visibility into critical network environments and routing, and Insight Global\u2019s IT team was better able to detect and avoid potential issues before those issues could impact the business.<\/p>\n It\u2019s time to move from reactive to proactive operations management through end-to-end visibility and AI\/ML-powered predictive analytics. It\u2019s time for a consistent way of automating operations, analyzing and diagnosing issues, and assuring the user experience across all the different networking domains.<\/p>\n We believe strongly in this way forward. It\u2019s the cornerstone of Cisco\u2019s approach to network assurance and Cisco\u2019s Networking Cloud vision\u2014a unified management experience platform for on-premises and cloud operating models to simplify IT, everywhere, at scale.<\/p>\n \u00a0\u00a0Predictive analytical models use AI\/ML techniques and traffic data from end-to-end visibility to eliminate or avoid traffic jams, poor connections, and outages. This is the power of predictive network operations.\u00a0\u00a0Read More<\/a>\u00a0Cisco Blogs\u00a0<\/p>","protected":false},"excerpt":{"rendered":" <\/p>\n Part 5 of the six-part series \u2013 <\/em>The 2023 Global Networking Trends Report series<\/em><\/a>\u00a0<\/strong><\/p>\n The distributed workforce\u2015and the distributed applications and services they consume\u2015have vastly changed the enterp\u2026 Read more on Cisco Blogs<\/a><\/p>\n \u200b<\/p>\n Part 5 of the six-part series \u2013 <\/em>The 2023 Global Networking Trends Report series<\/em><\/a>\u00a0<\/strong><\/p>\n The distributed workforce\u2015and the distributed applications and services they consume\u2015have vastly changed the enterprise network paradigm. Many connections\u2014such as private cloud, internet, public cloud, multicloud, and software-as-a-service (SaaS) networks\u2014now begin and end outside of the traditional corporate infrastructure. The coexistence of these complex connections creates new layers of operational complexity for teams responsible for ensuring predictable performance and quality of service.<\/p>\n What is needed to combat this complexity is a network assurance platform that includes true end-to-end visibility capabilities. Insight is needed into users and their devices, locations, and connected things, as well as into access networks, network services, multiple clouds, and corporate enterprise data centers and applications (Figure 1). A solution that combines these different data sets and uses artificial intelligence and machine learning (AI\/ML) to analyze the data, can help drive decisions that make network operations proactive and predictive, instead of reactive.<\/p>\n <\/a>Figure 1.<\/strong> Span of end-to-end visibility required (click to enlarge)<\/p>\n In our 2023 Global Networking Trends Report<\/a>, nearly half (47%) of respondents said they are prioritizing the adoption of predictive network analytics over the next two years, primarily to help with managing the connectivity and digital experience of their remote workforce.<\/p>\n A predictive network analytics solution requires the ability to correlate massive amounts of network data in real time and at tremendous scale. By continuously analyzing performance data and applying predictive modeling to forecast conditions and recommend actions, predictive capabilities can become a reality. Predictive analytics empowers teams to avoid adverse application impacts to distributed workers and to ensure the best possible user experience.<\/p>\n For the software-defined WAN (SD-WAN), a platform that uses artificial intelligence for IT operations (AIOps) can provide predictive analytics to forecast performance (Figure 2). AIOps refers to the strategic use of AI, ML, and machine reasoning (MR) technologies to simplify and streamline IT processes and optimize the use of IT resources. By correlating and analyzing real-time and historical SD-WAN performance data and applying predictive models, AIOps can use these forecasts to deliver per-site recommendations for optimal path selection by application type to deliver an optimal experience based on available paths.<\/p>\n By integrating predictive analytics into SD-WAN solutions, IT teams can improve dynamic enforcement of application service levels with intelligent routing across alternative paths before any degradation occurs.<\/p>\n <\/a><\/p>\n Figure 2.<\/strong> Predictive analytics through a continual feedback loop (click to enlarge)<\/p>\n Combining traffic data sets from an organization\u2019s ecosystem of ISPs, cloud providers, SaaS applications, and other external services, further enriches predictive analytical systems. Operations teams can rapidly identify, escalate, and remediate issues with providers using internet telemetry data. When outage behavior is detected, a root cause can be identified and shared with providers to prioritize fixes or escalate to peers and transit providers.<\/p>\n When Insight Global\u2014one of the largest staffing agencies in the United States\u2014allowed its employees to return to the office, they leveraged information from ThousandEyes\u2019 WAN Insights to optimize its SD-WAN policies and improve application experiences proactively and continuously. Once the solution was in place, they gained greater visibility into critical network environments and routing, and Insight Global\u2019s IT team was better able to detect and avoid potential issues before those issues could impact the business.<\/p>\n It\u2019s time to move from reactive to proactive operations management through end-to-end visibility and AI\/ML-powered predictive analytics. It\u2019s time for a consistent way of automating operations, analyzing and diagnosing issues, and assuring the user experience across all the different networking domains.<\/p>\n We believe strongly in this way forward. It\u2019s the cornerstone of Cisco\u2019s approach to network assurance and Cisco\u2019s Networking Cloud vision\u2014a unified management experience platform for on-premises and cloud operating models to simplify IT, everywhere, at scale.<\/p>\nPredictive analytics for SD-WAN and an internet-centric world<\/strong><\/h2>\n
Predictive analytics at work in the real world\u00a0<\/strong><\/h2>\n
Predictive and proactive operations is the way forward\u00a0\u00a0<\/strong><\/h2>\n
Watch the Global Networking Trends on-demand webinar:<\/strong><\/h2>\n
\u201cSecurely connect people, places, and things in an ever-changing world\u201d<\/a><\/strong><\/h2>\n
Download the 2023 Global Networking Trends Report<\/a><\/strong><\/h2>\n
Predictive analytics for SD-WAN and an internet-centric world<\/strong><\/h2>\n
Predictive analytics at work in the real world\u00a0<\/strong><\/h2>\n
Predictive and proactive operations is the way forward\u00a0\u00a0<\/strong><\/h2>\n
Watch the Global Networking Trends on-demand webinar:<\/strong><\/h2>\n
\u201cSecurely connect people, places, and things in an ever-changing world\u201d<\/a><\/strong><\/h2>\n
Download the 2023 Global Networking Trends Report<\/a><\/strong><\/h2>\n
![<\/a>Figure 1.<\/strong> Span of end-to-end visibility required (click to enlarge)<\/p>\nIn our 2023 Global Networking Trends Report<\/a>, nearly half (47%) of respondents said they are prioritizing the adoption of predictive network analytics over the next two years, primarily to help with managing the connectivity and digital experience of their remote workforce.<\/p>\nA predictive network analytics solution requires the ability to correlate massive amounts of network data in real time and at tremendous scale. By continuously analyzing performance data and applying predictive modeling to forecast conditions and recommend actions, predictive capabilities can become a reality. Predictive analytics empowers teams to avoid adverse application impacts to distributed workers and to ensure the best possible user experience.<\/p>\nPredictive analytics for SD-WAN and an internet-centric world<\/strong><\/h2>\nFor the software-defined WAN (SD-WAN), a platform that uses artificial intelligence for IT operations (AIOps) can provide predictive analytics to forecast performance (Figure 2). AIOps refers to the strategic use of AI, ML, and machine reasoning (MR) technologies to simplify and streamline IT processes and optimize the use of IT resources. By correlating and analyzing real-time and historical SD-WAN performance data and applying predictive models, AIOps can use these forecasts to deliver per-site recommendations for optimal path selection by application type to deliver an optimal experience based on available paths.<\/p>\nBy integrating predictive analytics into SD-WAN solutions, IT teams can improve dynamic enforcement of application service levels with intelligent routing across alternative paths before any degradation occurs.<\/p>\n<\/a><\/p>\nFigure 2.<\/strong> Predictive analytics through a continual feedback loop (click to enlarge)<\/p>\nCombining traffic data sets from an organization\u2019s ecosystem of ISPs, cloud providers, SaaS applications, and other external services, further enriches predictive analytical systems. Operations teams can rapidly identify, escalate, and remediate issues with providers using internet telemetry data. When outage behavior is detected, a root cause can be identified and shared with providers to prioritize fixes or escalate to peers and transit providers.<\/p>\nPredictive analytics at work in the real world\u00a0<\/strong><\/h2>\nWhen Insight Global\u2014one of the largest staffing agencies in the United States\u2014allowed its employees to return to the office, they leveraged information from ThousandEyes\u2019 WAN Insights to optimize its SD-WAN policies and improve application experiences proactively and continuously. Once the solution was in place, they gained greater visibility into critical network environments and routing, and Insight Global\u2019s IT team was better able to detect and avoid potential issues before those issues could impact the business.<\/p>\nPredictive and proactive operations is the way forward\u00a0\u00a0<\/strong><\/h2>\nIt\u2019s time to move from reactive to proactive operations management through end-to-end visibility and AI\/ML-powered predictive analytics. It\u2019s time for a consistent way of automating operations, analyzing and diagnosing issues, and assuring the user experience across all the different networking domains.<\/p>\nWe believe strongly in this way forward. It\u2019s the cornerstone of Cisco\u2019s approach to network assurance and Cisco\u2019s Networking Cloud vision\u2014a unified management experience platform for on-premises and cloud operating models to simplify IT, everywhere, at scale.<\/p>\nWatch the Global Networking Trends on-demand webinar:<\/strong><\/h2>\n\u201cSecurely connect people, places, and things in an ever-changing world\u201d<\/a><\/strong><\/h2>\nDownload the 2023 Global Networking Trends Report<\/a><\/strong><\/h2>\n\n\t\tShare\n\n<\/div>\n<\/div>\n\n\n\t\t<\/a>\n\t<\/div>\n<\/div>\n\n\n\t\t<\/a>\n\t<\/div>\n<\/div>\n\n\n\t <\/a>\n\t<\/div>\n<\/div>\n<\/div>\nShare:<\/div>\n\n\n<\/div>\n<\/div>\n\n\n\t\t<\/a>\n\t<\/div>\n<\/div>\n\n\n\t\t<\/a>\n\t<\/div>\n<\/div>\n\n\n\t <\/a>\n\t<\/div>\n<\/div>\n<\/div>\n\u00a0\u00a0Predictive analytical models use AI\/ML techniques and traffic data from end-to-end visibility to eliminate or avoid traffic jams, poor connections, and outages. This is the power of predictive network operations.\u00a0\u00a0Read More<\/a>\u00a0Cisco Blogs\u00a0<\/p>","protected":false},"excerpt":{"rendered":"<\/p>\nPart 5 of the six-part series \u2013 <\/em>The 2023 Global Networking Trends Report series<\/em><\/a>\u00a0<\/strong><\/p>\nThe distributed workforce\u2015and the distributed applications and services they consume\u2015have vastly changed the enterp\u2026 Read more on Cisco Blogs<\/a><\/p>\n\u200b<\/p>\nPart 5 of the six-part series \u2013 <\/em>The 2023 Global Networking Trends Report series<\/em><\/a>\u00a0<\/strong><\/p>\nThe distributed workforce\u2015and the distributed applications and services they consume\u2015have vastly changed the enterprise network paradigm. Many connections\u2014such as private cloud, internet, public cloud, multicloud, and software-as-a-service (SaaS) networks\u2014now begin and end outside of the traditional corporate infrastructure. The coexistence of these complex connections creates new layers of operational complexity for teams responsible for ensuring predictable performance and quality of service.<\/p>\nWhat is needed to combat this complexity is a network assurance platform that includes true end-to-end visibility capabilities. Insight is needed into users and their devices, locations, and connected things, as well as into access networks, network services, multiple clouds, and corporate enterprise data centers and applications (Figure 1). A solution that combines these different data sets and uses artificial intelligence and machine learning (AI\/ML) to analyze the data, can help drive decisions that make network operations proactive and predictive, instead of reactive.<\/p>\n<\/a>Figure 1.<\/strong> Span of end-to-end visibility required (click to enlarge)<\/p>\nIn our 2023 Global Networking Trends Report<\/a>, nearly half (47%) of respondents said they are prioritizing the adoption of predictive network analytics over the next two years, primarily to help with managing the connectivity and digital experience of their remote workforce.<\/p>\nA predictive network analytics solution requires the ability to correlate massive amounts of network data in real time and at tremendous scale. By continuously analyzing performance data and applying predictive modeling to forecast conditions and recommend actions, predictive capabilities can become a reality. Predictive analytics empowers teams to avoid adverse application impacts to distributed workers and to ensure the best possible user experience.<\/p>\nPredictive analytics for SD-WAN and an internet-centric world<\/strong><\/h2>\nFor the software-defined WAN (SD-WAN), a platform that uses artificial intelligence for IT operations (AIOps) can provide predictive analytics to forecast performance (Figure 2). AIOps refers to the strategic use of AI, ML, and machine reasoning (MR) technologies to simplify and streamline IT processes and optimize the use of IT resources. By correlating and analyzing real-time and historical SD-WAN performance data and applying predictive models, AIOps can use these forecasts to deliver per-site recommendations for optimal path selection by application type to deliver an optimal experience based on available paths.<\/p>\nBy integrating predictive analytics into SD-WAN solutions, IT teams can improve dynamic enforcement of application service levels with intelligent routing across alternative paths before any degradation occurs.<\/p>\n<\/a><\/p>\nFigure 2.<\/strong> Predictive analytics through a continual feedback loop (click to enlarge)<\/p>\nCombining traffic data sets from an organization\u2019s ecosystem of ISPs, cloud providers, SaaS applications, and other external services, further enriches predictive analytical systems. Operations teams can rapidly identify, escalate, and remediate issues with providers using internet telemetry data. When outage behavior is detected, a root cause can be identified and shared with providers to prioritize fixes or escalate to peers and transit providers.<\/p>\nPredictive analytics at work in the real world\u00a0<\/strong><\/h2>\nWhen Insight Global\u2014one of the largest staffing agencies in the United States\u2014allowed its employees to return to the office, they leveraged information from ThousandEyes\u2019 WAN Insights to optimize its SD-WAN policies and improve application experiences proactively and continuously. Once the solution was in place, they gained greater visibility into critical network environments and routing, and Insight Global\u2019s IT team was better able to detect and avoid potential issues before those issues could impact the business.<\/p>\nPredictive and proactive operations is the way forward\u00a0\u00a0<\/strong><\/h2>\nIt\u2019s time to move from reactive to proactive operations management through end-to-end visibility and AI\/ML-powered predictive analytics. It\u2019s time for a consistent way of automating operations, analyzing and diagnosing issues, and assuring the user experience across all the different networking domains.<\/p>\nWe believe strongly in this way forward. It\u2019s the cornerstone of Cisco\u2019s approach to network assurance and Cisco\u2019s Networking Cloud vision\u2014a unified management experience platform for on-premises and cloud operating models to simplify IT, everywhere, at scale.<\/p>\nWatch the Global Networking Trends on-demand webinar:<\/strong><\/h2>\n\u201cSecurely connect people, places, and things in an ever-changing world\u201d<\/a><\/strong><\/h2>\nDownload the 2023 Global Networking Trends Report<\/a><\/strong><\/h2>\n\n\t\tShare<\/p>\n\n<\/div>\n<\/div>\n\n\n\t\t<\/a>\n\t<\/div>\n<\/div>\n\n\n\t\t<\/a>\n\t<\/div>\n<\/div>\n\n\n\t <\/a>\n\t<\/div>\n<\/div>\n<\/div>\nShare:<\/div>\n\n\n<\/div>\n<\/div>\n\n\n\t\t<\/a>\n\t<\/div>\n<\/div>\n\n\n\t\t<\/a>\n\t<\/div>\n<\/div>\n\n\n\t <\/a>\n\t<\/div>\n<\/div>\n<\/div>\n\u00a0\u00a0Predictive analytical models use AI\/ML techniques and traffic data from end-to-end visibility to eliminate or avoid traffic jams, poor connections, and outages. This is the power of predictive network operations.\u00a0\u00a0Read More<\/a>\u00a0Cisco Blogs\u00a0<\/p>\n<\/p>\n","protected":false},"author":0,"featured_media":1676,"comment_status":"","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[12],"tags":[],"class_list":["post-1675","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-cisco-learning"],"yoast_head":"\nAIOps Drives Exceptional Digital Experience Through Network Assurance Murtaza Doctor on November 14, 2023 at 4:00 pm - JHC<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/jacksonholdingcompany.com\/aiops-drives-exceptional-digital-experience-through-network-assurance-murtaza-doctor-on-november-14-2023-at-400-pm\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AIOps Drives Exceptional Digital Experience Through Network Assurance Murtaza Doctor on November 14, 2023 at 4:00 pm\" \/>\n<meta property=\"og:description\" content=\"Part 5 of the six-part series \u2013 The 2023 Global Networking Trends Report series\u00a0 The distributed workforce\u2015and the distributed applications and services they consume\u2015have vastly changed the enterp\u2026 Read more on Cisco Blogs \u200b Part 5 of the six-part series \u2013 The 2023 Global Networking Trends Report series\u00a0 The distributed workforce\u2015and the distributed applications and services they consume\u2015have vastly changed the enterprise network paradigm. Many connections\u2014such as private cloud, internet, public cloud, multicloud, and software-as-a-service (SaaS) networks\u2014now begin and end outside of the traditional corporate infrastructure. The coexistence of these complex connections creates new layers of operational complexity for teams responsible for ensuring predictable performance and quality of service. What is needed to combat this complexity is a network assurance platform that includes true end-to-end visibility capabilities. Insight is needed into users and their devices, locations, and connected things, as well as into access networks, network services, multiple clouds, and corporate enterprise data centers and applications (Figure 1). A solution that combines these different data sets and uses artificial intelligence and machine learning (AI\/ML) to analyze the data, can help drive decisions that make network operations proactive and predictive, instead of reactive. Figure 1. Span of end-to-end visibility required (click to enlarge) In our 2023 Global Networking Trends Report, nearly half (47%) of respondents said they are prioritizing the adoption of predictive network analytics over the next two years, primarily to help with managing the connectivity and digital experience of their remote workforce. A predictive network analytics solution requires the ability to correlate massive amounts of network data in real time and at tremendous scale. By continuously analyzing performance data and applying predictive modeling to forecast conditions and recommend actions, predictive capabilities can become a reality. Predictive analytics empowers teams to avoid adverse application impacts to distributed workers and to ensure the best possible user experience. Predictive analytics for SD-WAN and an internet-centric world For the software-defined WAN (SD-WAN), a platform that uses artificial intelligence for IT operations (AIOps) can provide predictive analytics to forecast performance (Figure 2). AIOps refers to the strategic use of AI, ML, and machine reasoning (MR) technologies to simplify and streamline IT processes and optimize the use of IT resources. By correlating and analyzing real-time and historical SD-WAN performance data and applying predictive models, AIOps can use these forecasts to deliver per-site recommendations for optimal path selection by application type to deliver an optimal experience based on available paths. By integrating predictive analytics into SD-WAN solutions, IT teams can improve dynamic enforcement of application service levels with intelligent routing across alternative paths before any degradation occurs. Figure 2. Predictive analytics through a continual feedback loop (click to enlarge) Combining traffic data sets from an organization\u2019s ecosystem of ISPs, cloud providers, SaaS applications, and other external services, further enriches predictive analytical systems. Operations teams can rapidly identify, escalate, and remediate issues with providers using internet telemetry data. When outage behavior is detected, a root cause can be identified and shared with providers to prioritize fixes or escalate to peers and transit providers. Predictive analytics at work in the real world\u00a0 When Insight Global\u2014one of the largest staffing agencies in the United States\u2014allowed its employees to return to the office, they leveraged information from ThousandEyes\u2019 WAN Insights to optimize its SD-WAN policies and improve application experiences proactively and continuously. Once the solution was in place, they gained greater visibility into critical network environments and routing, and Insight Global\u2019s IT team was better able to detect and avoid potential issues before those issues could impact the business. Predictive and proactive operations is the way forward\u00a0\u00a0 It\u2019s time to move from reactive to proactive operations management through end-to-end visibility and AI\/ML-powered predictive analytics. It\u2019s time for a consistent way of automating operations, analyzing and diagnosing issues, and assuring the user experience across all the different networking domains. We believe strongly in this way forward. It\u2019s the cornerstone of Cisco\u2019s approach to network assurance and Cisco\u2019s Networking Cloud vision\u2014a unified management experience platform for on-premises and cloud operating models to simplify IT, everywhere, at scale. Watch the Global Networking Trends on-demand webinar: \u201cSecurely connect people, places, and things in an ever-changing world\u201d Download the 2023 Global Networking Trends Report Share Share: \u00a0\u00a0Predictive analytical models use AI\/ML techniques and traffic data from end-to-end visibility to eliminate or avoid traffic jams, poor connections, and outages. This is the power of predictive network operations.\u00a0\u00a0Read More\u00a0Cisco Blogs\u00a0\" \/>\n<meta property=\"og:url\" content=\"https:\/\/jacksonholdingcompany.com\/aiops-drives-exceptional-digital-experience-through-network-assurance-murtaza-doctor-on-november-14-2023-at-400-pm\/\" \/>\n<meta property=\"og:site_name\" content=\"JHC\" \/>\n<meta property=\"article:published_time\" content=\"2023-11-14T18:53:53+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/jacksonholdingcompany.com\/wp-content\/uploads\/2023\/11\/16451919-qNnqyU.gif\" \/>\n\t<meta property=\"og:image:width\" content=\"1\" \/>\n\t<meta property=\"og:image:height\" content=\"1\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/gif\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"4 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/jacksonholdingcompany.com\/aiops-drives-exceptional-digital-experience-through-network-assurance-murtaza-doctor-on-november-14-2023-at-400-pm\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/jacksonholdingcompany.com\/aiops-drives-exceptional-digital-experience-through-network-assurance-murtaza-doctor-on-november-14-2023-at-400-pm\/\"},\"author\":{\"name\":\"\",\"@id\":\"\"},\"headline\":\"AIOps Drives Exceptional Digital Experience Through Network Assurance Murtaza Doctor on November 14, 2023 at 4:00 pm\",\"datePublished\":\"2023-11-14T18:53:53+00:00\",\"dateModified\":\"2023-11-14T18:53:53+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/jacksonholdingcompany.com\/aiops-drives-exceptional-digital-experience-through-network-assurance-murtaza-doctor-on-november-14-2023-at-400-pm\/\"},\"wordCount\":754,\"publisher\":{\"@id\":\"https:\/\/jacksonholdingcompany.com\/#organization\"},\"image\":{\"@id\":\"https:\/\/jacksonholdingcompany.com\/aiops-drives-exceptional-digital-experience-through-network-assurance-murtaza-doctor-on-november-14-2023-at-400-pm\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/jacksonholdingcompany.com\/wp-content\/uploads\/2023\/11\/16451919-qNnqyU.gif\",\"articleSection\":[\"Cisco: Learning\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/jacksonholdingcompany.com\/aiops-drives-exceptional-digital-experience-through-network-assurance-murtaza-doctor-on-november-14-2023-at-400-pm\/\",\"url\":\"https:\/\/jacksonholdingcompany.com\/aiops-drives-exceptional-digital-experience-through-network-assurance-murtaza-doctor-on-november-14-2023-at-400-pm\/\",\"name\":\"AIOps Drives Exceptional Digital Experience Through Network Assurance Murtaza Doctor on November 14, 2023 at 4:00 pm - 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JHC","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/jacksonholdingcompany.com\/aiops-drives-exceptional-digital-experience-through-network-assurance-murtaza-doctor-on-november-14-2023-at-400-pm\/","og_locale":"en_US","og_type":"article","og_title":"AIOps Drives Exceptional Digital Experience Through Network Assurance Murtaza Doctor on November 14, 2023 at 4:00 pm","og_description":"Part 5 of the six-part series \u2013 The 2023 Global Networking Trends Report series\u00a0 The distributed workforce\u2015and the distributed applications and services they consume\u2015have vastly changed the enterp\u2026 Read more on Cisco Blogs \u200b Part 5 of the six-part series \u2013 The 2023 Global Networking Trends Report series\u00a0 The distributed workforce\u2015and the distributed applications and services they consume\u2015have vastly changed the enterprise network paradigm. Many connections\u2014such as private cloud, internet, public cloud, multicloud, and software-as-a-service (SaaS) networks\u2014now begin and end outside of the traditional corporate infrastructure. The coexistence of these complex connections creates new layers of operational complexity for teams responsible for ensuring predictable performance and quality of service. What is needed to combat this complexity is a network assurance platform that includes true end-to-end visibility capabilities. Insight is needed into users and their devices, locations, and connected things, as well as into access networks, network services, multiple clouds, and corporate enterprise data centers and applications (Figure 1). A solution that combines these different data sets and uses artificial intelligence and machine learning (AI\/ML) to analyze the data, can help drive decisions that make network operations proactive and predictive, instead of reactive. Figure 1. Span of end-to-end visibility required (click to enlarge) In our 2023 Global Networking Trends Report, nearly half (47%) of respondents said they are prioritizing the adoption of predictive network analytics over the next two years, primarily to help with managing the connectivity and digital experience of their remote workforce. A predictive network analytics solution requires the ability to correlate massive amounts of network data in real time and at tremendous scale. By continuously analyzing performance data and applying predictive modeling to forecast conditions and recommend actions, predictive capabilities can become a reality. Predictive analytics empowers teams to avoid adverse application impacts to distributed workers and to ensure the best possible user experience. Predictive analytics for SD-WAN and an internet-centric world For the software-defined WAN (SD-WAN), a platform that uses artificial intelligence for IT operations (AIOps) can provide predictive analytics to forecast performance (Figure 2). AIOps refers to the strategic use of AI, ML, and machine reasoning (MR) technologies to simplify and streamline IT processes and optimize the use of IT resources. By correlating and analyzing real-time and historical SD-WAN performance data and applying predictive models, AIOps can use these forecasts to deliver per-site recommendations for optimal path selection by application type to deliver an optimal experience based on available paths. By integrating predictive analytics into SD-WAN solutions, IT teams can improve dynamic enforcement of application service levels with intelligent routing across alternative paths before any degradation occurs. Figure 2. Predictive analytics through a continual feedback loop (click to enlarge) Combining traffic data sets from an organization\u2019s ecosystem of ISPs, cloud providers, SaaS applications, and other external services, further enriches predictive analytical systems. Operations teams can rapidly identify, escalate, and remediate issues with providers using internet telemetry data. When outage behavior is detected, a root cause can be identified and shared with providers to prioritize fixes or escalate to peers and transit providers. Predictive analytics at work in the real world\u00a0 When Insight Global\u2014one of the largest staffing agencies in the United States\u2014allowed its employees to return to the office, they leveraged information from ThousandEyes\u2019 WAN Insights to optimize its SD-WAN policies and improve application experiences proactively and continuously. Once the solution was in place, they gained greater visibility into critical network environments and routing, and Insight Global\u2019s IT team was better able to detect and avoid potential issues before those issues could impact the business. Predictive and proactive operations is the way forward\u00a0\u00a0 It\u2019s time to move from reactive to proactive operations management through end-to-end visibility and AI\/ML-powered predictive analytics. It\u2019s time for a consistent way of automating operations, analyzing and diagnosing issues, and assuring the user experience across all the different networking domains. We believe strongly in this way forward. It\u2019s the cornerstone of Cisco\u2019s approach to network assurance and Cisco\u2019s Networking Cloud vision\u2014a unified management experience platform for on-premises and cloud operating models to simplify IT, everywhere, at scale. Watch the Global Networking Trends on-demand webinar: \u201cSecurely connect people, places, and things in an ever-changing world\u201d Download the 2023 Global Networking Trends Report Share Share: \u00a0\u00a0Predictive analytical models use AI\/ML techniques and traffic data from end-to-end visibility to eliminate or avoid traffic jams, poor connections, and outages. This is the power of predictive network operations.\u00a0\u00a0Read More\u00a0Cisco Blogs\u00a0","og_url":"https:\/\/jacksonholdingcompany.com\/aiops-drives-exceptional-digital-experience-through-network-assurance-murtaza-doctor-on-november-14-2023-at-400-pm\/","og_site_name":"JHC","article_published_time":"2023-11-14T18:53:53+00:00","og_image":[{"width":1,"height":1,"url":"https:\/\/jacksonholdingcompany.com\/wp-content\/uploads\/2023\/11\/16451919-qNnqyU.gif","type":"image\/gif"}],"twitter_card":"summary_large_image","twitter_misc":{"Est. reading time":"4 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/jacksonholdingcompany.com\/aiops-drives-exceptional-digital-experience-through-network-assurance-murtaza-doctor-on-november-14-2023-at-400-pm\/#article","isPartOf":{"@id":"https:\/\/jacksonholdingcompany.com\/aiops-drives-exceptional-digital-experience-through-network-assurance-murtaza-doctor-on-november-14-2023-at-400-pm\/"},"author":{"name":"","@id":""},"headline":"AIOps Drives Exceptional Digital Experience Through Network Assurance Murtaza Doctor on November 14, 2023 at 4:00 pm","datePublished":"2023-11-14T18:53:53+00:00","dateModified":"2023-11-14T18:53:53+00:00","mainEntityOfPage":{"@id":"https:\/\/jacksonholdingcompany.com\/aiops-drives-exceptional-digital-experience-through-network-assurance-murtaza-doctor-on-november-14-2023-at-400-pm\/"},"wordCount":754,"publisher":{"@id":"https:\/\/jacksonholdingcompany.com\/#organization"},"image":{"@id":"https:\/\/jacksonholdingcompany.com\/aiops-drives-exceptional-digital-experience-through-network-assurance-murtaza-doctor-on-november-14-2023-at-400-pm\/#primaryimage"},"thumbnailUrl":"https:\/\/jacksonholdingcompany.com\/wp-content\/uploads\/2023\/11\/16451919-qNnqyU.gif","articleSection":["Cisco: Learning"],"inLanguage":"en-US"},{"@type":"WebPage","@id":"https:\/\/jacksonholdingcompany.com\/aiops-drives-exceptional-digital-experience-through-network-assurance-murtaza-doctor-on-november-14-2023-at-400-pm\/","url":"https:\/\/jacksonholdingcompany.com\/aiops-drives-exceptional-digital-experience-through-network-assurance-murtaza-doctor-on-november-14-2023-at-400-pm\/","name":"AIOps Drives Exceptional Digital Experience Through Network Assurance Murtaza Doctor on November 14, 2023 at 4:00 pm - 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![<\/a><\/p>\nFigure 2.<\/strong> Predictive analytics through a continual feedback loop (click to enlarge)<\/p>\nCombining traffic data sets from an organization\u2019s ecosystem of ISPs, cloud providers, SaaS applications, and other external services, further enriches predictive analytical systems. Operations teams can rapidly identify, escalate, and remediate issues with providers using internet telemetry data. When outage behavior is detected, a root cause can be identified and shared with providers to prioritize fixes or escalate to peers and transit providers.<\/p>\nPredictive analytics at work in the real world\u00a0<\/strong><\/h2>\nWhen Insight Global\u2014one of the largest staffing agencies in the United States\u2014allowed its employees to return to the office, they leveraged information from ThousandEyes\u2019 WAN Insights to optimize its SD-WAN policies and improve application experiences proactively and continuously. Once the solution was in place, they gained greater visibility into critical network environments and routing, and Insight Global\u2019s IT team was better able to detect and avoid potential issues before those issues could impact the business.<\/p>\nPredictive and proactive operations is the way forward\u00a0\u00a0<\/strong><\/h2>\nIt\u2019s time to move from reactive to proactive operations management through end-to-end visibility and AI\/ML-powered predictive analytics. It\u2019s time for a consistent way of automating operations, analyzing and diagnosing issues, and assuring the user experience across all the different networking domains.<\/p>\nWe believe strongly in this way forward. It\u2019s the cornerstone of Cisco\u2019s approach to network assurance and Cisco\u2019s Networking Cloud vision\u2014a unified management experience platform for on-premises and cloud operating models to simplify IT, everywhere, at scale.<\/p>\nWatch the Global Networking Trends on-demand webinar:<\/strong><\/h2>\n\u201cSecurely connect people, places, and things in an ever-changing world\u201d<\/a><\/strong><\/h2>\nDownload the 2023 Global Networking Trends Report<\/a><\/strong><\/h2>\n\n\t\tShare\n\n<\/div>\n<\/div>\n\n\n\t\t<\/a>\n\t<\/div>\n<\/div>\n\n\n\t\t<\/a>\n\t<\/div>\n<\/div>\n\n\n\t <\/a>\n\t<\/div>\n<\/div>\n<\/div>\nShare:<\/div>\n\n\n<\/div>\n<\/div>\n\n\n\t\t<\/a>\n\t<\/div>\n<\/div>\n\n\n\t\t<\/a>\n\t<\/div>\n<\/div>\n\n\n\t <\/a>\n\t<\/div>\n<\/div>\n<\/div>\n\u00a0\u00a0Predictive analytical models use AI\/ML techniques and traffic data from end-to-end visibility to eliminate or avoid traffic jams, poor connections, and outages. This is the power of predictive network operations.\u00a0\u00a0Read More<\/a>\u00a0Cisco Blogs\u00a0<\/p>","protected":false},"excerpt":{"rendered":"<\/p>\nPart 5 of the six-part series \u2013 <\/em>The 2023 Global Networking Trends Report series<\/em><\/a>\u00a0<\/strong><\/p>\nThe distributed workforce\u2015and the distributed applications and services they consume\u2015have vastly changed the enterp\u2026 Read more on Cisco Blogs<\/a><\/p>\n\u200b<\/p>\nPart 5 of the six-part series \u2013 <\/em>The 2023 Global Networking Trends Report series<\/em><\/a>\u00a0<\/strong><\/p>\nThe distributed workforce\u2015and the distributed applications and services they consume\u2015have vastly changed the enterprise network paradigm. Many connections\u2014such as private cloud, internet, public cloud, multicloud, and software-as-a-service (SaaS) networks\u2014now begin and end outside of the traditional corporate infrastructure. The coexistence of these complex connections creates new layers of operational complexity for teams responsible for ensuring predictable performance and quality of service.<\/p>\nWhat is needed to combat this complexity is a network assurance platform that includes true end-to-end visibility capabilities. Insight is needed into users and their devices, locations, and connected things, as well as into access networks, network services, multiple clouds, and corporate enterprise data centers and applications (Figure 1). A solution that combines these different data sets and uses artificial intelligence and machine learning (AI\/ML) to analyze the data, can help drive decisions that make network operations proactive and predictive, instead of reactive.<\/p>\n<\/a>Figure 1.<\/strong> Span of end-to-end visibility required (click to enlarge)<\/p>\nIn our 2023 Global Networking Trends Report<\/a>, nearly half (47%) of respondents said they are prioritizing the adoption of predictive network analytics over the next two years, primarily to help with managing the connectivity and digital experience of their remote workforce.<\/p>\nA predictive network analytics solution requires the ability to correlate massive amounts of network data in real time and at tremendous scale. By continuously analyzing performance data and applying predictive modeling to forecast conditions and recommend actions, predictive capabilities can become a reality. Predictive analytics empowers teams to avoid adverse application impacts to distributed workers and to ensure the best possible user experience.<\/p>\nPredictive analytics for SD-WAN and an internet-centric world<\/strong><\/h2>\nFor the software-defined WAN (SD-WAN), a platform that uses artificial intelligence for IT operations (AIOps) can provide predictive analytics to forecast performance (Figure 2). AIOps refers to the strategic use of AI, ML, and machine reasoning (MR) technologies to simplify and streamline IT processes and optimize the use of IT resources. By correlating and analyzing real-time and historical SD-WAN performance data and applying predictive models, AIOps can use these forecasts to deliver per-site recommendations for optimal path selection by application type to deliver an optimal experience based on available paths.<\/p>\nBy integrating predictive analytics into SD-WAN solutions, IT teams can improve dynamic enforcement of application service levels with intelligent routing across alternative paths before any degradation occurs.<\/p>\n<\/a><\/p>\nFigure 2.<\/strong> Predictive analytics through a continual feedback loop (click to enlarge)<\/p>\nCombining traffic data sets from an organization\u2019s ecosystem of ISPs, cloud providers, SaaS applications, and other external services, further enriches predictive analytical systems. Operations teams can rapidly identify, escalate, and remediate issues with providers using internet telemetry data. When outage behavior is detected, a root cause can be identified and shared with providers to prioritize fixes or escalate to peers and transit providers.<\/p>\nPredictive analytics at work in the real world\u00a0<\/strong><\/h2>\nWhen Insight Global\u2014one of the largest staffing agencies in the United States\u2014allowed its employees to return to the office, they leveraged information from ThousandEyes\u2019 WAN Insights to optimize its SD-WAN policies and improve application experiences proactively and continuously. Once the solution was in place, they gained greater visibility into critical network environments and routing, and Insight Global\u2019s IT team was better able to detect and avoid potential issues before those issues could impact the business.<\/p>\nPredictive and proactive operations is the way forward\u00a0\u00a0<\/strong><\/h2>\nIt\u2019s time to move from reactive to proactive operations management through end-to-end visibility and AI\/ML-powered predictive analytics. It\u2019s time for a consistent way of automating operations, analyzing and diagnosing issues, and assuring the user experience across all the different networking domains.<\/p>\nWe believe strongly in this way forward. It\u2019s the cornerstone of Cisco\u2019s approach to network assurance and Cisco\u2019s Networking Cloud vision\u2014a unified management experience platform for on-premises and cloud operating models to simplify IT, everywhere, at scale.<\/p>\nWatch the Global Networking Trends on-demand webinar:<\/strong><\/h2>\n\u201cSecurely connect people, places, and things in an ever-changing world\u201d<\/a><\/strong><\/h2>\nDownload the 2023 Global Networking Trends Report<\/a><\/strong><\/h2>\n\n\t\tShare<\/p>\n\n<\/div>\n<\/div>\n\n\n\t\t<\/a>\n\t<\/div>\n<\/div>\n\n\n\t\t<\/a>\n\t<\/div>\n<\/div>\n\n\n\t <\/a>\n\t<\/div>\n<\/div>\n<\/div>\nShare:<\/div>\n\n\n<\/div>\n<\/div>\n\n\n\t\t<\/a>\n\t<\/div>\n<\/div>\n\n\n\t\t<\/a>\n\t<\/div>\n<\/div>\n\n\n\t <\/a>\n\t<\/div>\n<\/div>\n<\/div>\n\u00a0\u00a0Predictive analytical models use AI\/ML techniques and traffic data from end-to-end visibility to eliminate or avoid traffic jams, poor connections, and outages. This is the power of predictive network operations.\u00a0\u00a0Read More<\/a>\u00a0Cisco Blogs\u00a0<\/p>\n<\/p>\n","protected":false},"author":0,"featured_media":1676,"comment_status":"","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[12],"tags":[],"class_list":["post-1675","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-cisco-learning"],"yoast_head":"\nAIOps Drives Exceptional Digital Experience Through Network Assurance Murtaza Doctor on November 14, 2023 at 4:00 pm - JHC<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/jacksonholdingcompany.com\/aiops-drives-exceptional-digital-experience-through-network-assurance-murtaza-doctor-on-november-14-2023-at-400-pm\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AIOps Drives Exceptional Digital Experience Through Network Assurance Murtaza Doctor on November 14, 2023 at 4:00 pm\" \/>\n<meta property=\"og:description\" content=\"Part 5 of the six-part series \u2013 The 2023 Global Networking Trends Report series\u00a0 The distributed workforce\u2015and the distributed applications and services they consume\u2015have vastly changed the enterp\u2026 Read more on Cisco Blogs \u200b Part 5 of the six-part series \u2013 The 2023 Global Networking Trends Report series\u00a0 The distributed workforce\u2015and the distributed applications and services they consume\u2015have vastly changed the enterprise network paradigm. Many connections\u2014such as private cloud, internet, public cloud, multicloud, and software-as-a-service (SaaS) networks\u2014now begin and end outside of the traditional corporate infrastructure. The coexistence of these complex connections creates new layers of operational complexity for teams responsible for ensuring predictable performance and quality of service. What is needed to combat this complexity is a network assurance platform that includes true end-to-end visibility capabilities. Insight is needed into users and their devices, locations, and connected things, as well as into access networks, network services, multiple clouds, and corporate enterprise data centers and applications (Figure 1). A solution that combines these different data sets and uses artificial intelligence and machine learning (AI\/ML) to analyze the data, can help drive decisions that make network operations proactive and predictive, instead of reactive. Figure 1. Span of end-to-end visibility required (click to enlarge) In our 2023 Global Networking Trends Report, nearly half (47%) of respondents said they are prioritizing the adoption of predictive network analytics over the next two years, primarily to help with managing the connectivity and digital experience of their remote workforce. A predictive network analytics solution requires the ability to correlate massive amounts of network data in real time and at tremendous scale. By continuously analyzing performance data and applying predictive modeling to forecast conditions and recommend actions, predictive capabilities can become a reality. Predictive analytics empowers teams to avoid adverse application impacts to distributed workers and to ensure the best possible user experience. Predictive analytics for SD-WAN and an internet-centric world For the software-defined WAN (SD-WAN), a platform that uses artificial intelligence for IT operations (AIOps) can provide predictive analytics to forecast performance (Figure 2). AIOps refers to the strategic use of AI, ML, and machine reasoning (MR) technologies to simplify and streamline IT processes and optimize the use of IT resources. By correlating and analyzing real-time and historical SD-WAN performance data and applying predictive models, AIOps can use these forecasts to deliver per-site recommendations for optimal path selection by application type to deliver an optimal experience based on available paths. By integrating predictive analytics into SD-WAN solutions, IT teams can improve dynamic enforcement of application service levels with intelligent routing across alternative paths before any degradation occurs. Figure 2. Predictive analytics through a continual feedback loop (click to enlarge) Combining traffic data sets from an organization\u2019s ecosystem of ISPs, cloud providers, SaaS applications, and other external services, further enriches predictive analytical systems. Operations teams can rapidly identify, escalate, and remediate issues with providers using internet telemetry data. When outage behavior is detected, a root cause can be identified and shared with providers to prioritize fixes or escalate to peers and transit providers. Predictive analytics at work in the real world\u00a0 When Insight Global\u2014one of the largest staffing agencies in the United States\u2014allowed its employees to return to the office, they leveraged information from ThousandEyes\u2019 WAN Insights to optimize its SD-WAN policies and improve application experiences proactively and continuously. Once the solution was in place, they gained greater visibility into critical network environments and routing, and Insight Global\u2019s IT team was better able to detect and avoid potential issues before those issues could impact the business. Predictive and proactive operations is the way forward\u00a0\u00a0 It\u2019s time to move from reactive to proactive operations management through end-to-end visibility and AI\/ML-powered predictive analytics. It\u2019s time for a consistent way of automating operations, analyzing and diagnosing issues, and assuring the user experience across all the different networking domains. We believe strongly in this way forward. It\u2019s the cornerstone of Cisco\u2019s approach to network assurance and Cisco\u2019s Networking Cloud vision\u2014a unified management experience platform for on-premises and cloud operating models to simplify IT, everywhere, at scale. Watch the Global Networking Trends on-demand webinar: \u201cSecurely connect people, places, and things in an ever-changing world\u201d Download the 2023 Global Networking Trends Report Share Share: \u00a0\u00a0Predictive analytical models use AI\/ML techniques and traffic data from end-to-end visibility to eliminate or avoid traffic jams, poor connections, and outages. This is the power of predictive network operations.\u00a0\u00a0Read More\u00a0Cisco Blogs\u00a0\" \/>\n<meta property=\"og:url\" content=\"https:\/\/jacksonholdingcompany.com\/aiops-drives-exceptional-digital-experience-through-network-assurance-murtaza-doctor-on-november-14-2023-at-400-pm\/\" \/>\n<meta property=\"og:site_name\" content=\"JHC\" \/>\n<meta property=\"article:published_time\" content=\"2023-11-14T18:53:53+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/jacksonholdingcompany.com\/wp-content\/uploads\/2023\/11\/16451919-qNnqyU.gif\" \/>\n\t<meta property=\"og:image:width\" content=\"1\" \/>\n\t<meta property=\"og:image:height\" content=\"1\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/gif\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"4 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/jacksonholdingcompany.com\/aiops-drives-exceptional-digital-experience-through-network-assurance-murtaza-doctor-on-november-14-2023-at-400-pm\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/jacksonholdingcompany.com\/aiops-drives-exceptional-digital-experience-through-network-assurance-murtaza-doctor-on-november-14-2023-at-400-pm\/\"},\"author\":{\"name\":\"\",\"@id\":\"\"},\"headline\":\"AIOps Drives Exceptional Digital Experience Through Network Assurance Murtaza Doctor on November 14, 2023 at 4:00 pm\",\"datePublished\":\"2023-11-14T18:53:53+00:00\",\"dateModified\":\"2023-11-14T18:53:53+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/jacksonholdingcompany.com\/aiops-drives-exceptional-digital-experience-through-network-assurance-murtaza-doctor-on-november-14-2023-at-400-pm\/\"},\"wordCount\":754,\"publisher\":{\"@id\":\"https:\/\/jacksonholdingcompany.com\/#organization\"},\"image\":{\"@id\":\"https:\/\/jacksonholdingcompany.com\/aiops-drives-exceptional-digital-experience-through-network-assurance-murtaza-doctor-on-november-14-2023-at-400-pm\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/jacksonholdingcompany.com\/wp-content\/uploads\/2023\/11\/16451919-qNnqyU.gif\",\"articleSection\":[\"Cisco: Learning\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/jacksonholdingcompany.com\/aiops-drives-exceptional-digital-experience-through-network-assurance-murtaza-doctor-on-november-14-2023-at-400-pm\/\",\"url\":\"https:\/\/jacksonholdingcompany.com\/aiops-drives-exceptional-digital-experience-through-network-assurance-murtaza-doctor-on-november-14-2023-at-400-pm\/\",\"name\":\"AIOps Drives Exceptional Digital Experience Through Network Assurance Murtaza Doctor on November 14, 2023 at 4:00 pm - 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JHC","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/jacksonholdingcompany.com\/aiops-drives-exceptional-digital-experience-through-network-assurance-murtaza-doctor-on-november-14-2023-at-400-pm\/","og_locale":"en_US","og_type":"article","og_title":"AIOps Drives Exceptional Digital Experience Through Network Assurance Murtaza Doctor on November 14, 2023 at 4:00 pm","og_description":"Part 5 of the six-part series \u2013 The 2023 Global Networking Trends Report series\u00a0 The distributed workforce\u2015and the distributed applications and services they consume\u2015have vastly changed the enterp\u2026 Read more on Cisco Blogs \u200b Part 5 of the six-part series \u2013 The 2023 Global Networking Trends Report series\u00a0 The distributed workforce\u2015and the distributed applications and services they consume\u2015have vastly changed the enterprise network paradigm. Many connections\u2014such as private cloud, internet, public cloud, multicloud, and software-as-a-service (SaaS) networks\u2014now begin and end outside of the traditional corporate infrastructure. The coexistence of these complex connections creates new layers of operational complexity for teams responsible for ensuring predictable performance and quality of service. What is needed to combat this complexity is a network assurance platform that includes true end-to-end visibility capabilities. Insight is needed into users and their devices, locations, and connected things, as well as into access networks, network services, multiple clouds, and corporate enterprise data centers and applications (Figure 1). A solution that combines these different data sets and uses artificial intelligence and machine learning (AI\/ML) to analyze the data, can help drive decisions that make network operations proactive and predictive, instead of reactive. Figure 1. Span of end-to-end visibility required (click to enlarge) In our 2023 Global Networking Trends Report, nearly half (47%) of respondents said they are prioritizing the adoption of predictive network analytics over the next two years, primarily to help with managing the connectivity and digital experience of their remote workforce. A predictive network analytics solution requires the ability to correlate massive amounts of network data in real time and at tremendous scale. By continuously analyzing performance data and applying predictive modeling to forecast conditions and recommend actions, predictive capabilities can become a reality. Predictive analytics empowers teams to avoid adverse application impacts to distributed workers and to ensure the best possible user experience. Predictive analytics for SD-WAN and an internet-centric world For the software-defined WAN (SD-WAN), a platform that uses artificial intelligence for IT operations (AIOps) can provide predictive analytics to forecast performance (Figure 2). AIOps refers to the strategic use of AI, ML, and machine reasoning (MR) technologies to simplify and streamline IT processes and optimize the use of IT resources. By correlating and analyzing real-time and historical SD-WAN performance data and applying predictive models, AIOps can use these forecasts to deliver per-site recommendations for optimal path selection by application type to deliver an optimal experience based on available paths. By integrating predictive analytics into SD-WAN solutions, IT teams can improve dynamic enforcement of application service levels with intelligent routing across alternative paths before any degradation occurs. Figure 2. Predictive analytics through a continual feedback loop (click to enlarge) Combining traffic data sets from an organization\u2019s ecosystem of ISPs, cloud providers, SaaS applications, and other external services, further enriches predictive analytical systems. Operations teams can rapidly identify, escalate, and remediate issues with providers using internet telemetry data. When outage behavior is detected, a root cause can be identified and shared with providers to prioritize fixes or escalate to peers and transit providers. Predictive analytics at work in the real world\u00a0 When Insight Global\u2014one of the largest staffing agencies in the United States\u2014allowed its employees to return to the office, they leveraged information from ThousandEyes\u2019 WAN Insights to optimize its SD-WAN policies and improve application experiences proactively and continuously. Once the solution was in place, they gained greater visibility into critical network environments and routing, and Insight Global\u2019s IT team was better able to detect and avoid potential issues before those issues could impact the business. Predictive and proactive operations is the way forward\u00a0\u00a0 It\u2019s time to move from reactive to proactive operations management through end-to-end visibility and AI\/ML-powered predictive analytics. It\u2019s time for a consistent way of automating operations, analyzing and diagnosing issues, and assuring the user experience across all the different networking domains. We believe strongly in this way forward. It\u2019s the cornerstone of Cisco\u2019s approach to network assurance and Cisco\u2019s Networking Cloud vision\u2014a unified management experience platform for on-premises and cloud operating models to simplify IT, everywhere, at scale. Watch the Global Networking Trends on-demand webinar: \u201cSecurely connect people, places, and things in an ever-changing world\u201d Download the 2023 Global Networking Trends Report Share Share: \u00a0\u00a0Predictive analytical models use AI\/ML techniques and traffic data from end-to-end visibility to eliminate or avoid traffic jams, poor connections, and outages. This is the power of predictive network operations.\u00a0\u00a0Read More\u00a0Cisco Blogs\u00a0","og_url":"https:\/\/jacksonholdingcompany.com\/aiops-drives-exceptional-digital-experience-through-network-assurance-murtaza-doctor-on-november-14-2023-at-400-pm\/","og_site_name":"JHC","article_published_time":"2023-11-14T18:53:53+00:00","og_image":[{"width":1,"height":1,"url":"https:\/\/jacksonholdingcompany.com\/wp-content\/uploads\/2023\/11\/16451919-qNnqyU.gif","type":"image\/gif"}],"twitter_card":"summary_large_image","twitter_misc":{"Est. reading time":"4 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/jacksonholdingcompany.com\/aiops-drives-exceptional-digital-experience-through-network-assurance-murtaza-doctor-on-november-14-2023-at-400-pm\/#article","isPartOf":{"@id":"https:\/\/jacksonholdingcompany.com\/aiops-drives-exceptional-digital-experience-through-network-assurance-murtaza-doctor-on-november-14-2023-at-400-pm\/"},"author":{"name":"","@id":""},"headline":"AIOps Drives Exceptional Digital Experience Through Network Assurance Murtaza Doctor on November 14, 2023 at 4:00 pm","datePublished":"2023-11-14T18:53:53+00:00","dateModified":"2023-11-14T18:53:53+00:00","mainEntityOfPage":{"@id":"https:\/\/jacksonholdingcompany.com\/aiops-drives-exceptional-digital-experience-through-network-assurance-murtaza-doctor-on-november-14-2023-at-400-pm\/"},"wordCount":754,"publisher":{"@id":"https:\/\/jacksonholdingcompany.com\/#organization"},"image":{"@id":"https:\/\/jacksonholdingcompany.com\/aiops-drives-exceptional-digital-experience-through-network-assurance-murtaza-doctor-on-november-14-2023-at-400-pm\/#primaryimage"},"thumbnailUrl":"https:\/\/jacksonholdingcompany.com\/wp-content\/uploads\/2023\/11\/16451919-qNnqyU.gif","articleSection":["Cisco: Learning"],"inLanguage":"en-US"},{"@type":"WebPage","@id":"https:\/\/jacksonholdingcompany.com\/aiops-drives-exceptional-digital-experience-through-network-assurance-murtaza-doctor-on-november-14-2023-at-400-pm\/","url":"https:\/\/jacksonholdingcompany.com\/aiops-drives-exceptional-digital-experience-through-network-assurance-murtaza-doctor-on-november-14-2023-at-400-pm\/","name":"AIOps Drives Exceptional Digital Experience Through Network Assurance Murtaza Doctor on November 14, 2023 at 4:00 pm - 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