Source: Featured Blogs - Forrester
IBM is positioning integrated platforms to address three pressures—data localization requirements, autonomous agent deployment, and security compliance—that are fragmenting the enterprise AI market into regional and vertical-specific solutions. Companies choosing IBM's stack for sovereign data handling face real switching costs; they'll find it harder to swap components for point solutions later. That's why competitors like DataStax and open-source frameworks are racing to offer interoperability guarantees. The move reveals a split in how enterprise AI will be sold: unified stacks that trade flexibility for compliance and control, or modular, loosely-coupled systems that demand more integration work but preserve optionality.