Organizations must balance AI experimentation with governance to prevent shadow AI projects from fragmenting data and creating new security risks.
governance
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.
Financial services, manufacturing, and retail are leading AI agent implementation, demonstrating how operational use cases are driving measurable transformation across high-impact sectors worldwide.
Herain Oberoi highlighted two fundamental AI-Era cybersecurity questions: Can we trust the data, and is the AI system safe and secure? These concerns underpin Microsoft’s integrated governance and security strategy.
Scaling AI agents in 2026 requires autonomy, orchestration, and strong governance — not just building more bots.
By combining AWS AI capabilities with NTT DATA’s delivery scale, the partnership accelerates legacy modernization and responsible AI adoption in highly regulated sectors worldwide.
Microsoft’s partnership with the University of Manchester brings Copilot access and training to 65,000 users, establishing a new model for integrating AI into higher education responsibly and equitably.
AI success depends on strong implementation foundations, not hype or last-minute automation fixes.
IBM and Pearson have partnered to build AI-powered personalized learning tools using watsonx Orchestrate and watsonx Governance to serve businesses, governments, and educators.
Palantir is directly challenging ServiceNow’s claim as the premier AI platform, citing faster growth, greater deal volume, and more impactful AI delivery.
JLL exec explains how her firm has trained its workforce for AI, its governance practices, and the importance of a clearly defined AI strategy.
At Oracle’s AI World event in Las Vegas, Executive VP Juan Loaiza discusses why databases are more important than ever, because AI is making data accessible in new ways, enabling business users to interact via natural language rather than traditional SQL.
ServiceNow’s Amit Zavery explains how the new AI Experience unifies fragmented enterprise systems into a single, trusted workflow platform that automates work, reduces tech debt, and delivers measurable business outcomes.
With customer choice, end‑to‑end capabilities, and strong governance, Gemini Enterprise positions Google Cloud as the most complete AI solution for the enterprise.
Google Cloud aims to lead in AI for business via Gemini Enterprise, promising full stack capabilities, choice, rapid deployment, affordable pricing, deep data integration, security, simplified management, and an ecosystem plus Delta team backing.
AI is now embedded in most enterprise processes, but implementation barriers persist. The Cloudera report flags compute costs and compliance risks as top concerns, with demand for unified data platforms rising sharply.
The latest AI push from workflow automation titan includes agents that manage diverse functions, multivendor agent governance, and a Configure Price Quote app as part of “Autonomous CRM.”
AI agents’ ability to complete transactions autonomously could upend online commerce. Google and an impressive array of finance industry partners are stepping up to enable and secure agentic transactions.
Copilot Studio now features advanced runtime protection, enabling organizations to block unsafe AI actions using connected security platforms in real-time without interrupting workflows.
Copilot Studio enables users to build custom AI agents across Microsoft 365 and business systems with tools suited for both beginners and developers.