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SUSE

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Headlines · 3

  1. Deloitte report: only 10.2% of enterprises reach deep AI use stage

    A report jointly published by Deloitte China and the University of Hong Kong's research center on AI, management and organization found that the share of enterprises reaching production deployment rose to 64.4% from 56.0% in 2025, and those deploying AI across multiple teams grew to 33.7% from 14.7%, while those reaching deep use edged up only to 10.2% from 7.4%. It says 48.5% of surveyed firms reported returns below expectations and 44.4% could not clearly measure AI project ROI, with integration with existing systems the top bottleneck at 56.6%; meanwhile 74% of organizations plan to use agentic AI within two years but only 21% have a mature governance model. Lenovo said its China R&D unit's "full-stack engineer plus five agents" model lifted overall efficiency by more than 30% and AI-generated code contribution above 80% in FY2025/26, with silicon-based customer service handling 75% of volume, and that it has mapped 692 business processes for restructuring.

    钛媒体 · 🔥 0
  2. SUSE unveils private enterprise AI strategy, AI Factory with NVIDIA and Liz ops agent

    SUSE announced an "enterprise private AI" strategy and an AI Factory offering with NVIDIA that combines NVIDIA AI Enterprise with SUSE's infrastructure and security governance capabilities, for AI workloads on-premises, in multi-cloud and in offline environments. SUSE says the combination can cut deployment time from months to days, though it acknowledges actual timelines depend on existing systems, data readiness and integration complexity. The release also includes Liz, a Kubernetes operations agent integrated into Rancher Prime that supports Chinese-language interaction and troubleshooting under a human-in-the-loop design; the China version is adapted to models including Qwen, DeepSeek, Kimi, Zhipu and MiniMax. SUSE also floated a possible evolution toward a "Token Factory," described as a product direction rather than a delivered capability.

    InfoQ 中文 AI&大模型 · 🔥 0
  3. SUSE pitches enterprise private AI to bridge the pilot-to-production gap

    A post on Chinese tech site OSChina describes SUSE's enterprise private AI strategy: many companies have finished proofs of concept and demo pilots but stall at the jump from experimental environments to production deployment. It says POCs look impressive yet run into data-security, vendor-lock-in, operational-complexity and wasted-compute problems once moved to on-premise data centres, air-gapped setups or multi-cloud architectures. SUSE argues open-source infrastructure is the way to reach production-grade deployment.

    开源中国 · 🔥 0

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