SAP’s Q3 results highlight accelerating cloud revenue growth, a 28% increase in current cloud backlog to $27 billion, and growing enterprise demand for its AI-powered Autonomous Enterprise vision.
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Oracle’s enterprise AI strategy emphasizes measurable business outcomes, scalable agentic innovation, and stronger customer partnerships as organizations accelerate AI adoption while managing costs and security.
SAP’s remarkable Q3 performance challenges skeptics as Christian Klein’s cloud and AI strategy delivers accelerating revenue growth and increasingly strong competitive positioning.
Google’s latest European research initiative signals a shift toward collaborative AI innovation, where technology developers provide the tools and scientific institutions establish the priorities for discovery.
Oracle Fusion Claw introduces a governance-first approach to enterprise AI, embedding policies, guardrails, risk limits, and auditable execution records into agentic workflows designed to solve complex business problems across critical enterprise functions.
Microsoft launches a real-time speech transcription model delivering partial results in just over 100 milliseconds, setting the stage for faster, more accurate, and more intelligent AI voice agents.
As part of Community Summit NA, RSM and Community Summit brought together business, finance, and technology leaders for an exclusive…
Artificial intelligence is creating new business categories, disrupting traditional e-commerce, and empowering entrepreneurs to build products and services with unprecedented capabilities.
Workday accelerated its agentic AI transformation at Rising 2026, unveiling six major innovations spanning autonomous agents, unified data, governance, and workforce intelligence while strengthening its competitive position against SAP, Oracle, and Microsoft.
Proactive AI agents are transforming how businesses operate and sell products. Microsoft’s Dona Sarkar explains why companies must restructure innovation teams, simplify websites for AI-powered purchasing, and prepare for agents to become customers.
Workday doubles down on agentic AI at Workday Rising, unveiling Sana, four autopilot agents, and new intelligence capabilities designed to accelerate enterprise automation and strengthen its competitive position.
Microsoft executives Leon Welicki and Dona Sarkar joined Innovia Consulting’s Shawn Dorward to discuss practical AI adoption strategies, emphasizing leadership, clear business goals, and choosing the right technologies to improve enterprise workflows.
Microsoft’s Digital Defense Report 2026 explains how automation accelerates threats and why organizations must embrace continuous security monitoring, proactive threat detection, and faster incident response.
Microsoft and HSO executives explained how Work IQ can help Dynamics 365 customers reduce AI costs, improve agent accuracy, and streamline business processes during a Community Summit NA roundtable focused on enterprise AI adoption.
Community Summit NA 2026 opened in Nashville with Microsoft leaders and enterprise customers exploring AI agents, vibe coding, governance, and business transformation, emphasizing the importance of human judgment, employee engagement, and measurable outcomes.
Google Cloud’s Gemini Agent combines personal AI capabilities with enterprise-grade governance, multicloud connectivity, and model flexibility. CEO Thomas Kurian believes these integrated features will help organizations deploy sophisticated AI agents more efficiently and affordably.
Procurement leaders expect AI to drive innovation and accelerate core processes, but first they need to reinvent their operations and get their people on board.
Google Cloud’s Gemini agent launch signals a broader shift in enterprise AI, as business leaders increasingly demand technology partners who understand operational priorities rather than simply promoting technical capabilities.
Explore how Google Cloud and Thales, alongside SAP and NVIDIA, are embedding security and governance into agentic AI workflows — and why industry collaboration could be key to building a safer, more trustworthy AI ecosystem.
IBM research finds that financial institutions expect major gains from agentic AI but must redesign outdated operating models, integrate data, and establish accountability across workflows to realize those benefits.