In the AI era, data movement isn’t just an IT task—it’s a strategic enabler. The new Riverbed Data Express Service helps CIOs move petabyte-scale datasets up to 10x faster through a secure, SaaS-based platform built on Oracle Cloud Infrastructure (OCI). With enterprise-grade protection, real-time visibility, and simple setup, it’s designed to accelerate AI, cloud migration, and data-driven innovation—turning data movement into a true business advantage. Learn more: https://rvbd.ly/4neJD0g
Riverbed Data Express Service: Accelerate Data Movement with Oracle Cloud
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So, what's cloud adoption got to do with AI? Well, for SMBs a lot. Many SMBs with outdated, on premise, and paper based systems are quickly learning that they need to walk (invest in modern, robust and cloud-based IT) before they can run (tap into the benefits of AI). If your home's foundation is crumbling, you probably will want to address that before investing in Sonos throughout your digs and a new Sub-Zero fridge. In our latest report, my colleague Elisabeth Clemmons and I explore how cloud strategies are impacting their AI adoption. Check it out below! IDC https://lnkd.in/gY3aeApy
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With Enterprises needing to manage Governance, Security and Scaling AI responsibly and at scale, #Cloudera is in an unique position to deliver 𝗧𝗿𝘂𝘀𝘁𝗲𝗱 𝗔𝗜 𝘼𝙣𝙮𝙬𝙝𝙚𝙧𝙚 - be it Private Cloud, Public Cloud, Hybrid or at the edge so that you can balance the compute and the economic requirements to optimise the delivery of the business outcomes. For Enterprises to successfully deploy Agentic AI, building 𝗧𝗥𝗨𝗦𝗧 through high fidelity data context is extremely important. Stay tuned as we share more from our Customers. Cloudera, a Leader in the IDC Asia/Pacific Unified AI Platforms 2025 vendor Assessment. Deepika Giri
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AI and cloud are changing the rules for every business. Yet too many leaders still treat them as separate tools. Here’s the truth: 𝗔𝗜 + 𝗰𝗹𝗼𝘂𝗱 𝗶𝘀𝗻’𝘁 𝗰𝗼𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝗿𝘆—𝗶𝘁’𝘀 𝘀𝘆𝗻𝗲𝗿𝗴𝗶𝘀𝘁𝗶𝗰. When built cloud-native, this fusion doesn’t just shift workloads, it unlocks: - Agility to respond faster to market changes - Cost savings through elastic scaling - Accelerated innovation with rapid experimentation And the synergy flows both ways. The cloud supercharges AI performance, while AI strengthens cloud security, optimizes resources, and enables predictive operations. This is the foundation of the intelligent enterprise. Those who embrace AI-cloud convergence now will set the pace for tomorrow. Are you building for yesterday’s infrastructure—or tomorrow’s intelligence?
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🖥️ Legacy systems, cloud migrations, AI adoption—public sector data is under more pressure than ever. Our whitepaper shows you how to protect: accuracy, consistency, and compliance at every step—from migration to AI integration! Bulletproof your data strategy 👉 https://bit.ly/4nVIUBI
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Did you know that cloud-based AI and machine learning are shaping the future of digital transformation? By 2026, over 60% of cloud workloads will be driven by AI-powered applications, showing how businesses are rapidly embracing intelligent cloud solutions. At Cloud Converge, we help organizations stay ahead by integrating AI-driven cloud services that enhance performance, scalability, and innovation. The future is in the cloud — smarter, faster, and more connected than ever before. #DidYouKnow #CloudComputing #AIinCloud #MachineLearning #FutureOfCloud #DigitalTransformation #CloudConverge #TechInnovation #SmartCloud #AITechnology #BusinessGrowth #ScalableSolutions #CloudTrends #ArtificialIntelligence #NextGenTechnology
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🌟 New Blog Just Published! 🌟 📌 Private AI Rises as Enterprises Rethink Cloud Strategies 🚀 ✍️ Author: Hiren Dave 📖 The landscape of enterprise artificial intelligence is undergoing a significant transformation. What was once a unidirectional march towards centralized cloud infrastructure is now diverging, with...... 🕒 Published: 2025-10-04 📂 Category: AI/ML 🔗 Read more: https://lnkd.in/dTqenuBe 🚀✨ #privateai #enterpriseai #cloudstrategy
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In the AI era, trust is everything. 🔐 As organizations embrace agentic AI, the most forward-thinking CIOs are rearchitecting their cloud strategies not just for scale, but for control and compliance. Private and sovereign clouds are emerging as the trust layer that AI needs to thrive. Combined with public cloud agility, they form a hybrid ecosystem built for innovation and responsible governance. Rajesh Awasthi, VP of Managed Cloud Services at NTT DATA shares why rearchitecting is the new CIO imperative: https://bit.ly/46K2qu0
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Say goodbye to cloud conformity. 🚀 We’re proud to share that Gartner recognized Vultr in three 2025 Hype Cycle™ reports: Hype Cycle for #CloudComputing, Hype Cycle for Infrastructure & Operations, & Hype Cycle for Enterprise Communication Services. We believe Vultr’s inclusion reflects the growing demand for: ➡️ #AIInfrastructure built on GPUaaS ➡️ Sovereignty as a must-have, not a nice-to-have ➡️ Composable and independent platforms challenging the hyperscaler monopoly Across 32 global cloud data center regions, Vultr is powering the shift to agile, sovereign, and #AI ready infrastructure. 👉 Read more in our new blog and access the full Hype Cycle for Cloud Computing: https://lnkd.in/gBRutHz7
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In the AI era, trust is everything. 🔐 As organizations embrace agentic AI, the most forward-thinking CIOs are rearchitecting their cloud strategies not just for scale, but for control and compliance. Private and sovereign clouds are emerging as the trust layer that #AI needs to thrive. Combined with public cloud agility, they form a hybrid ecosystem built for innovation and responsible governance. Rajesh Awasthi, VP of Managed Cloud Services at NTT DATA shares why rearchitecting is the new CIO imperative: https://bit.ly/3INUPTa
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The symbiotic relationship between artificial intelligence and cloud computing has been the bedrock of the AI revolution. Cloud infrastructure has democratized access to the computational power and data storage required to train and deploy sophisticated models. However, as we stand on the cusp of the next great leap in AI—driven by massive, multi-modal models and the imperative for real-time, everywhere intelligence—the traditional cloud model is no longer enough. The future of AI demands a fundamental transformation of the underlying cloud infrastructure.
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