New AI platforms are eliminating data silos by integrating multiple enterprise systems into unified, intelligent workflows.
Oracle
Agentic AI is transforming ERP implementations by automating design, testing, and support, reducing costs and accelerating delivery timelines significantly.
Steve Miranda outlines Oracle’s vision for agentic applications that don’t just assist — but actively drive business outcomes across sales, supply chain, and workforce operations.
A unified, end-to-end approach is replacing fragmented healthcare systems with connected data and intelligent workflows powered by modern infrastructure.
By leveraging AI, Oracle aims to shift healthcare from disconnected systems to a fully integrated ecosystem connecting providers, payers, and patients with improved efficiency and coordination.
Oracle and Microsoft’s once-unthinkable partnership has become a mainstream “multi-cloud miracle,” unlocking faster innovation, improved security, and simpler architectures while reshaping how competitors collaborate for customer success.
Larry Ellison steps back on earnings calls as Mike Sicilia and Clay Magouyrk take the lead, signaling a deliberate and confident leadership transition at Oracle.
Oracle’s leadership transition signals a new chapter, with Larry Ellison focusing on technology vision while the new CEOs take the lead.
OpenAI’s ambitious 2030 revenue forecast collides with contradictory spending cuts, prompting concerns about strategy, execution, and credibility among enterprise customers and key infrastructure partners.
Explosive enterprise demand for AI and cloud services is driving a resurgence of hypergrowth across the Cloud Wars Top 10, led by Palantir, Google Cloud, and Oracle.
Rather than replacing SaaS, AI is becoming its most powerful accelerator. Oracle’s approach embeds agentic AI across Fusion applications, enabling faster deployments, reduced operational complexity, and dramatically improved customer outcomes.
Oracle is rejecting the “end of SaaS” narrative, arguing that AI agents will dramatically expand the power and value of enterprise applications.
Oracle posted explosive Q3 results fueled by unprecedented demand for AI infrastructure. The company’s cloud business grew rapidly, while its data-center expansion strategy and financing plans attracted strong investor support and reinforced confidence in its long-term AI strategy.
Oracle’s explosive Q3 growth, including a 325% surge in RPO and massive AI infrastructure demand, challenges critics claiming the cloud and AI data center boom is an unsustainable bubble.
Facing unprecedented pressure from customers navigating AI transformation, SAP, Oracle, and Workday are restructuring their sales organizations. Each company is simplifying customer engagement, flattening leadership structures, and aligning sales with services to deliver faster decisions and stronger outcomes.
In a rare alignment, SAP, Oracle, and Workday are simplifying sales models to reduce complexity and accelerate digital transformation for customers navigating the AI revolution.
Oracle’s fiscal Q3 could deliver massive cloud and RPO growth driven by AI demand, though it may still fall short of Google Cloud’s 48% hyperscaler growth benchmark.
Oracle’s Q3 outlook reveals explosive growth in remaining performance obligations, suggesting the company’s AI training and infrastructure capabilities are driving enormous future demand beyond its OpenAI partnership.
Rejecting “SaaSpocalypse” fears, Aneel Bhusri argues AI will enhance enterprise applications rather than replace them. Workday’s strategy focuses on AI agents embedded within its HR and finance platform to drive new growth and customer value.
The label “legacy” no longer fits Oracle, Microsoft, or SAP, each surpassing 50% cloud revenue. Their rapid cloud growth and AI investments demonstrate that experience, scale, and deep enterprise relationships are powerful assets in today’s AI Era.