While there are an increasing number of off-the-shelf machine learning (ML) solutions that promise to adapt to your specific requirements, organizations that are serious about investing in ML for the long term are building their own workflows tailored exactly to their data and the outcomes they expect. To make full use of this investment, ML models must be kept up to date and working from the freshest available data.
Computer and network systems have (obviously) become vital to business operations. Occasionally, there are SaaS or network incidents and these systems do not operate as needed. Enterprises want to minimize the potential damage and get their systems back online ASAP. Integrated incident management and a strong End User Experience Management (EUEM) platform that provides synthetic and real-user monitoring is a foundation for meeting that objective.