…DataAI Governance enforces controls at the data layer rather than relying on agent-level policies, limiting exposure from both sanctioned and unsanctioned AI agents. DataAI Compliance aligns data operations with major regulatory…
…The announcements include IBM Power Autonomous Operations, an agentic control layer for system management, and the IBM Bob Premium Package for i, an AI-driven development assistant for IBM i environments. IBM…
…The acquisition expands Qualcomm Technologies’ AI software capabilities alongside its existing portfolio of high-performance, energy-efficient compute. Qualcomm positions the combined organization to support personal, industrial, edge, and data center AI…
…6+ processors extend the Xeon 6 family, emphasizing performance density, power efficiency, and operational scale for cloud-native, network-intensive, and agentic AI-driven workloads. Intel said Xeon 6+ is built on…
…unified AI-native Secure Access Service Edge (SASE) platform. “The success of agentic AI in the enterprise depends on a modern networking foundation built for autonomous workflows, where network performance, reliability, and…
…Agentic AI Dell is also moving deeper into AI-assisted infrastructure operations. The company said the Automation Platform will add agentic AI capabilities later this year through a personalized generative interface designed…
…Veeam Agent for Linux v13 Veeam Agent for Mac v13 Virtuozzo Storage is an S3-compatible object storage platform designed for backup repositories, long-term retention, cloud-native applications, and AI workloads…
…Designed for AI-Driven Change Environments The release reflects growing enterprise exposure to AI agents and assistants capable of quickly processing large volumes of data. In these environments, small errors or malicious…
…The premise is that model training establishes the value of an AI asset, while inference determines its operational and commercial return. As agentic AI, retrieval-augmented generation, and high-concurrency inference become…
…Azure HDv2 is intended for agentic AI and data pipeline workloads, while Azure HXv2 targets semiconductor design use cases. These instances expand Azure’s existing AMD EPYC footprint across AI, data-intensive…