Data from security firm Harmonic finds the typical organization has hundreds of AI apps in use, many of them unmanaged, while a majority of firms lack adequate governance strategies.

The AI-driven cloud boom continues as Oracle, Google Cloud, AWS, and Microsoft expand infrastructure aggressively, countering reports of slowdown.

Alphabet is pouring $75 billion into cloud infrastructure after Google Cloud’s Q1 growth rate slipped, constrained by the company’s struggle to keep pace with surging demand.

Successful AI deployment demands intentional strategy, cultural readiness, and a clear focus on delivering real business outcomes.

Google Cloud’s Q1 growth slowed slightly due to data center capacity limits, but Alphabet is investing $75 billion to expand infrastructure and sustain its leadership in the cloud market.

Microsoft moves forward with the rollout of its GenAI-powered screen capture tool, Recall, addressing security issues ahead of general availability.

Advanced Copilot functions include search and notebooks, while new agents deliver on the promise of an integrated human-AI workforce that’s quantified in new research.

In this episode of the AI Agent & Copilot podcast, recorded on location at the AI Agent & Copilot Summit,…

Google Cloud and the UAE Cyber Security Council team up to bolster national cybersecurity and position the UAE as a global cyber leader.

SAP dominates the enterprise cloud race in Q1, outperforming rivals with rapid growth in cloud and ERP revenue.

Board member and AI leader reveals company has saved 489,000 hours and delivered 11,500% ROI by tapping an AI assistant, whose use is expanding rapidly.

SAP delivered a standout Q1 performance, with cloud revenue surging 27% and its Cloud ERP suite up 34%, solidifying its lead over enterprise-app rivals.

Google Cloud’s Will Grannis unveils how AI-native thinking, multi-agent systems, and DeepMind research are transforming enterprise strategy from the ground up.

Business Apps and AI expert explains real-world use cases for MCP, Microsoft’s support for the emerging standard, and how partners can capitalize.

IBM’s latest Granite 3.3 model series introduces advanced AI-driven speech capabilities, marking another major step in its expanding suite of enterprise-focused AI tools.

As AI strains global infrastructure, Oracle answers with a nimble, sovereign-ready, multi-cloud approach.

Microsoft Copilot can work across multiple systems in complex use cases, with UiPath providing orchestration functionality.

Oracle Cloud Infrastructure is surging ahead with simplified customer solutions, AI-driven growth, and global expansion, aiming to outpace hyperscaler competitors.

At the AI Agent & Copilot Summit, Lambert Hogenhout shares insights on the future implications of AI on the business landscape and human beings.

AWS is accelerating AI access by integrating Meta’s powerful Llama 4 models — featuring multimodal capabilities and 10M token context windows — into SageMaker JumpStart.

Salesforce launches Agentforce for Field Service to bring agentic AI into the field — boosting productivity, morale, and real-time responsiveness.

Microsoft’s Dewain Robinsons shares key insights from his three sessions at the recent AI Agent & Copilot Summit.

New thinking emerges about human-agent interplay and optimal ways to build organizations augmented by AI.

Nova Sonic marks Amazon’s latest push into agentic AI, offering developers a powerful new tool for building natural, voice-driven applications through a single, integrated model.

ServiceNow is accelerating its leadership in agentic AI with innovations like AI Agent Studio, Raptor DB, and the AI Agent Value Program—all supported by a robust ecosystem—offering customers a seamless, insight-driven path to adopting and scaling agentic AI across workflows.

AI agent framework in Microsoft Azure AI Foundry designed to simplify orchestration in multi-agent systems. 

OpenAI and Microsoft’s support for Anthropic’s Model Context Protocol (MCP) marks a major step toward universal AI agent interoperability, signaling a shift from competition to collaboration in building open standards for seamless integration and future AI governance.