software as a service

The “SaaSpocalypse” makes for a dramatic storyline, but it flattens critical distinctions in how AI agents interact with enterprise software layers. Lightweight, UI-heavy workflow tools are clearly exposed, yet systems of record that own deep data, compliance and audit trails...

The SaaS market is rapidly expanding, projected to reach $1.58 trillion by 2033, prompting CIOs and ERP leaders to rethink system integration, security, and governance as small and midsize enterprises increasingly adopt cloud software while managing multi-region portfolios and addressing challenges like data security and vendor lock-in.

Rick Rider, SVP of product management at Infor, discusses the transformative impact of autonomous AI on ERP systems, viewing it as a beneficial evolution rather than a crisis, while emphasizing the importance of robust underlying systems and exploring the variations in U.S. and European approaches to AI.

The Application as a Service model is increasingly adopted by businesses seeking flexibility over monolithic systems, prompting CIOs to adapt their purchasing, integration, and governance strategies for a diverse array of specialized applications across various sectors, while also addressing challenges related to vendor management and ensuring data consistency.

Infor's Rick Rider argues that rather than the "SaaSpocalypse" narrative suggesting autonomous AI will replace traditional SaaS, vertical industry-specific SaaS will actually enhance AI's reliability and precision.

The global ERP market is evolving into a strategic backbone, projected to exceed $40.6 billion by 2033 with a 9.4% CAGR, as organizations seek unified, data-driven control across various business functions while transitioning to hybrid and cloud models.

IBM's OpenPages as a Service launch in the Cloud Germany data center enhances EU-centric governance, risk and compliance capabilities by ensuring data residency, improved performance and modernized software-as-a-service (SaaS) options.