AIOps has caught the attention of many organizations seeking to harness artificial intelligence (AI) and machine learning (ML) approaches to reduce operating costs and burdens while raising service levels and outcomes. AIOps is an especially good fit for infrastructure which produces high volumes of complex data at velocity. No set of infrastructure fits this profile better than modern networks.
Modern networks are richly diverse with multiple brands, devices and software spread across many sites and geolocations – all of which must work together to enable efficient and secure use of the network. This complexity can challenge IT teams who need comprehensive data telemetry and correlated analysis to diagnose root cause problems, apply effective remediation, and enable a constantly improving and proactive approach to network operations
High tech professional in various roles that include GTM Director, Consulting, Channel Management, Product Management, and Marketing from HPE, Aruba, and channel organizations. Technology areas include networking, storage and data management, high availability, cloud, and SaaS/NaaS, for enterprise, SMB, and channel business. Industries include healthcare, higher education, retail, financial services, ISVs, and MSPs.
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