Google Cloud’s explosive AI-driven growth is reshaping cloud momentum, challenging AWS’s long-held leadership despite its larger market scale.
Deloitte partner says most organizations are still in the transition phase of tapping AI in their ERP environments, but the technology can improve data consistency and improve financial compliance.
A major barrier to AI adoption isn’t willingness but governance, as leaders seek secure, observable, and controllable systems to confidently deploy AI across enterprise environments.
Open cloud strategies and agentic AI are helping public sector organizations modernize faster without costly vendor lock-in.
Definity First founder Mauricio Duran explains why enterprises must start with business problems — not technology — to successfully move AI into production.
At the AI Agent & Copilot Summit, Truvio’s Jorgen Bach explains how unified platforms and AI agents are helping enterprises close the ERP value gap and operationalize AI adoption.
Oracle argues the future is not apps versus agents, but applications and agents working together as one.
Addition to Microsoft 365 Copilot helps users sort through large amounts of data and conversations to determine required near-term actions and build comprehensive plans.
HSO explains how embedding AI agents into ERP and business workflows is accelerating implementations, improving data transformation, and driving real user adoption through industry-specific automation.
Dona Sarkar explains why AI should be viewed as a tool for empowerment rather than job replacement, urging professionals to become “AI power users” who learn how to harness AI within their own roles and industries.
Stellantis and Microsoft launch a sweeping AI partnership spanning engineering, cybersecurity, and enterprise transformation.
Agentic AI is shifting enterprise systems from answering questions to taking secure, autonomous action at scale.
Google Cloud’s $750M ecosystem investment and major AI push signal an aggressive move to lead the agentic AI transformation race among hyperscalers.
SAP’s surging cloud growth and backlog expose the widening gap between AI-doom narratives and the strong reality of enterprise applications in the agentic AI era.
While many predict AI will destroy enterprise software vendors, SAP’s Q1 2026 results tell a different story: cloud revenue rose 27%, Cloud ERP Suite grew 30%, and backlog climbed 25%, proving strong momentum.
Enterprise AI success is shifting from software consumption metrics to measurable business outcomes and shared accountability between providers and customers.
Enterprises must move beyond AI apps and build agentic systems that reason, coordinate, and execute across multiple business workflows.
Enterprises must redesign data platforms so autonomous AI agents can reason, act, and securely drive business outcomes across the organization.
After years of disconnected AI breakthroughs, Gemini Enterprise delivers a cohesive system that simplifies deployment, enhances usability, and enables enterprises to fully leverage agentic AI across operations, data, and workflows.
A major focus for sa.global is building industry-specific AI agents tailored to professional services sectors like construction and legal, aiming to reduce inefficiencies, automate workflows, and protect revenue streams.