When generative AI first moved from research labs into real-world business applications, enterprises made a tacit bargain: “Capability now, control later.” Feed your proprietary data into third-party AI models, and you will get powerful results. But your data passes through systems you do not own, under governance you do not set. The protections you rely…
AEVS enhances trust and transparency in AI agent operations, crucial for scaling autonomous systems and ensuring accountability in complex networks.
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AI's role in crypto recovery highlights its potential in digital asset management, raising ethical questions about privacy and security.
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Nearly halfway into 2026, enterprises are beginning to see tangible returns on their AI investments. Yet many are discovering that scaling requires something far less glamorous than flashy frontier models and state-of-the-art benchmarking: Clean, interoperable, governed data.
According to a new AI Momentum Survey from Dun & Bradstreet, 97% of organizations report active AI initiatives, but just 5% say their data is ready to support them.
This reflects the messy reality of AI as enterprises struggle to move beyond experimentation to operationalization.
“You do not need enterprise-wide AI-ready data to launch pilots or isolated AI use cases,” said Cayetano Gea-Carrasco, Dun & Bradstreet’s chief strategy officer. “But you do need it to scale AI reliably across mission-critical workflows and systems.”
Early gains seen
Organizations are all-in on AI in 2026 and view it as a mission-critical imperative, according to the D&B report. Well over half (67%) are seeing “early signs or pockets” of
While Daybreak is a step toward more effective AI cybersecurity, more still needs to be done in the security arena, as models often create new vulnerabilities that leave enterprises exposed.
May 12, 2026 — From finance and procurement to supply chain and manufacturing, specialized AI agents are moving into the enterprise systems where business decisions are made, data is accessed and […]
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Announced today at SAP Sapphire — where NVIDIA founder and CEO Jensen Huang joined SAP CEO Christian Klein’s keynote by video — SAP and NVIDIA’s expanded collaboration helps enterprises run specialized agents with security and governance controls.