The lack of alignment between the business and IT is one of the main reasons why digital transformation initiatives do not realize their full potential. Particular, network operations teams need advanced capabilities from network monitoring tools to guarantee the reliable delivery of business services that will help the business succeed. Network monitoring tools need to provide more than just basic levels of monitoring and management. They need to break down the silos of traditional monitoring and combine metrics from application performance monitoring, infrastructure monitoring and user experience monitoring into an open data lake driven by artificial intelligence (AI) and machine learning (ML). This will lead to use cases like customer experience and service analytics, performance and alarm analytics, predictive capacity analytics and automated triage
Teams that employ practices combining business goals with AI-driven data analysis and remediation that connect business and technology functions together will effectively achieve desired business outcomes. Teams need to adopt new AI and ML technologies that augment and even automate decision-making within a business outcome context. Through this approach, enterprises can establish the continuous insights and collective intelligence that optimize decision-making.
Some will say that while today’s network monitoring tools are still important, they have been around for a very long time and are becoming increasingly commoditized, with blurred lines of differentiating....
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