Driving insights through observability, machine learning, and predictive analytics

With hybrid, multi-cloud environments, infrastructure is growing increasingly complex and generating terabytes of monitoring data. Unified observability remains a top challenge for organizations, which continue to shift to data-driven decision-making in order to stay competitive.

Organizations need a strong data management strategy along with AI and ML capabilities to analyze and automate actions on observability data. However, according to EMA’s survey results, only 27% of organizations have a unified observability solution and only 54% believe their maturity in analytics and the use of ML is advanced or superior.

This EMA Predictive Analytics report details a number of challenges IT departments currently face and the opportunities for resolving them with machine learning and predictive analytics to improve operational and business performance.