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.
Google Cloud CEO Thomas Kurian revealed 12 powerful Gemini Enterprise customer success stories, highlighting extraordinary AI ROI, productivity gains, and cost savings as nearly 90% of Fortune 100 companies adopt the platform.
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.
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IBM research finds that financial institutions expect major gains from agentic AI but must redesign outdated operating models, integrate data, and establish accountability across workflows to realize those benefits.
Google’s reported shutdown of its open-source bug bounty program reveals how AI-generated security reports are overwhelming cybersecurity teams and creating new challenges for vulnerability detection.
Rather than forcing enterprises to integrate numerous complex modernization technologies themselves, Google Cloud is combining existing tools and new agentic AI capabilities into an end-to-end architecture designed to dramatically accelerate legacy technology transformation.
SoftBank plans to borrow over $11 billion through bonds to help fund a $10 billion OpenAI investment, signaling extraordinary confidence in the AI company.
Five months after unveiling Autonomous Enterprise, SAP is accelerating its agentic AI strategy with Joule solutions spanning finance, supply chain, HR, procurement, and customer experience while increasingly targeting high-value, industry-specific business scenarios.
SAP is expanding its autonomous enterprise vision at Connect with AI-powered agents designed to connect business functions, data, governance, processes, and decision-making end to end.
AWS is expanding its custom-silicon strategy through a $1 billion agreement with Synopsys, potentially enabling enterprise applications from SAP, Salesforce, Workday, and other ISVs to achieve significantly higher performance through chips optimized specifically for application workloads.
AI demand is propelling the Cloud Wars Top 10 to extraordinary growth, led by Palantir at 93%, Google Cloud at 82%, and Oracle at 62%, with all three companies also demonstrating sustained quarterly growth acceleration.
AI leaders are accelerating their push into vertical industries through customer-designed products, deeper data integration, and industry-specific skills.
At Salesforce Dreamforce, Sam Altman discussed the accelerating capabilities of AI models, the risks of concentrated power, and the need for safety, while offering a striking account of OpenAI’s involvement in a Hugging Face security incident.
Marc Benioff’s AI-centered vision combines enterprise data, autonomous software, major technology partnerships, and new use cases spanning logistics, IT service management, government, and other business functions.
Work IQ could address one of enterprise AI’s biggest obstacles: agents that lack business context. Microsoft is using existing applications, processes, semantic models, and institutional knowledge to create a reusable intelligence foundation for Copilot and agents.
A new AI safety framework for U.S. schools prohibits student and educator data from being used for AI model training while establishing requirements for human oversight, transparency, privacy, and accountability from participating technology providers.
