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Cloudera

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Headlines · 5

  1. Cloudera Anywhere Cloud targets governed enterprise AI workloads

    SiliconANGLE reports that enterprises deploying AI agents must enforce each user’s data permissions, making role-based access control central to whether agents can be trusted. Cloudera positions Cloudera Anywhere Cloud as a hybrid data and AI platform spanning public clouds and on-premises environments. Its packaged blueprints and expanded partnerships with Mistral AI, Nvidia and Vast Data target private AI use cases such as fraud detection. Chief product officer Leo Brunnick said privacy concerns, sovereignty requirements and rising inference costs are pulling more AI workloads into corporate data centers.

    SiliconANGLE AI · 🔥 4
  2. Cloudera consolidates post-sales teams under one leader

    SiliconANGLE reports that Cloudera has consolidated its post-sales teams under a single leader, giving customers one point of contact from onboarding through renewal. Chief customer officer Patricia Bogoevici said the mandate is to align the teams with customers’ business objectives and help customers make better use of technology they have already paid for. Bogoevici also said she is personally measured on how customers realize value with Cloudera. SiliconANGLE disclosed that theCUBE is a paid media partner for Cloudera EVOLVE26, while saying sponsors did not control the coverage.

    SiliconANGLE AI · 🔥 4
  3. Prosper Global deploys VERA for conflict-zone research

    Prosper Global built VERA with Cloudera as a multi-agent research engine that uses Cloudera AI Studios, runs on Amazon Web Services and taps Anthropic models. The system gathers findings from sources including ReliefWeb, ACLED and local news, while researchers retain control over further analysis and final reports. Launched in June, VERA was operating in Sudan, the Democratic Republic of Congo and Ukraine.

    SiliconANGLE AI · 🔥 4
  4. Cloudera launches AI Blueprints with Nvidia technology

    Cloudera announced Cloudera Blueprints, a portfolio of ready-to-deploy AI applications built with Nvidia reference workflows, Nvidia Agent Toolkit, and the Cloudera AI development platform. The initial applications cover financial transaction analysis, automated clinical documentation, telecom network configuration, and synthetic video detection. Cloudera also expanded its ecosystem with Neo4j graph technology and partnerships with Mistral AI and Vast Data.

    SiliconANGLE AI · 🔥 0
  5. Cloudera bets on portability, not agents, for enterprise AI

    At EVOLVE26, SiliconANGLE enterprise editor Paul Gillin spoke with theCUBE's Rebecca Knight about Cloudera's enterprise AI strategy. The report says Cloudera, which began in the Hadoop market and later built a unified data layer spanning cloud and on-premises infrastructure, is positioning itself as an “anywhere cloud for AI.” Gillin described its agents as focused on managing data and workloads and optimizing GPU capacity, while noting that Cloudera is adding agentic workflows across its data services. He also said open-weight models have grown from about 20% of token use two years ago to more than 80% today. Before adopting AI automation, CIOs will want to know how agents are controlled, what audit trails they leave and how their decisions can be documented for regulators, he said.

    SiliconANGLE AI · 🔥 0

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