Enterprises face mounting pressures to extract real value from AI amidst surging data volumes, complex hybrid environments, and strict compliance requirements. Legacy systems struggle at handling modern AI workloads and advanced data management, particularly in supporting unstructured data and managing data readiness. This Viewpoint presents a strategic perspective on how enterprises can operationalize AI at scale through ideal data and AI management platforms. It introduces a detailed blueprint for an ideal platform, emphasizing multi-modal and multi-model data integration, AI-native architecture, and sovereign controls. It demonstrates how such platforms enable faster time-to-value, simplified operations, and cost savings without compromising on governance or performance . With real-world scenarios, an ideal platform-based solution blueprint, and a comprehensive value assessment, this report provides insights for enterprises to rethink their current data and AI strategy.

In April 2025, IBM unveiled the latest evolution of its mainframe portfolio with the introduction of IBM Z17, advancing its long-standing leadership in mainframes. IBM has long been a cornerstone in the evolution of enterprise computing, with its mainframe systems being vital in supporting mission-critical operations across industries. Known for their reliability, security, and performance, IBM has consistently adapted its mainframes to meet changing business needs. IBM Z17 focuses on delivering alignment with enterprise hybrid cloud and sustainability goals. It stands out with features such as quantum-safe encryption through Crypto Express 8S, Watsonx Assistant for Z, Operations Unite, and AI-enabled processing at the core. It introduces enhanced security features and hybrid cloud readiness, offering enterprises a flexible, future-ready solution to modernize while empowering mission-critical workloads in a rapidly transforming digital landscape. This evolution in the Z series reinforces IBM’s commitment to autonomous IT, streamlining operations, enhancing user experiences, while addressing long-standing challenges such as talent shortages and legacy system constraints.