Gartner defines the market of AI in communications service provider (CSP) network operations as commercial off-the-shelf (COTS) products with offerings in the form of capabilities embedded in CSP-specific operational technology (OT) applications or industry-agnostic horizontal applications. These products enable AI/ML-based network operations in CSPs. AI in CSP network operations helps CSPs to increase their network efficiency and performance, while reducing costs. CSPs are also evaluating use of AI in network operations to manage their energy consumption.
Augmented analytics uses AI to automate analytics workflows in platforms, contextualizing user interfaces with automated insights, generative storytelling explanations and collaborative exploration. Driven by machine learning (ML) and generative AI, augmented analytics enables natural language queries and personalized analytics catalogs. It democratizes advanced analytics with augmented data ingestion, data preparation, analytics content and DSML model development. It also curbs human biases and accelerates insights for diverse users.
Gartner defines cloud financial management (CFM) tools as tooling that provides the ability to collect, organize, display, optimize and manage the investments in cloud computing infrastructure as a service (IaaS) and platform as a service (PaaS). They leverage algorithms, statistical models and/or AI/machine learning (ML) in support of cost reports, dashboards and/or other mechanisms/interfaces that provide capabilities to monitor cost, utilization and value indicators. This allows users to identify trends, anomalies, misaligned expectations, as well as opportunities to increase the efficiency of cloud configurations, architecture and contracts. CFM tools enable enterprises to collect and analyze public cloud cost and usage information, and apply controls to define budget and cost policies to optimize spending on a continuous basis.
Cloud management tooling enables organizations to manage hybrid and multicloud (that is, on-premises, public cloud and edge) services and resources. This includes providing governance, life cycle management, brokering and automation for managed cloud infrastructure resources across multiple functional areas. The tooling can be procured and operated by central IT organizations, such as I&O, cloud center of excellence (CCOE) and platform engineering/operations, or within specific lines of business. It can be deployed on-premises, in a customer’s public cloud account or purchased as a SaaS.