A look back at SmartStream Connect EMEA 2024 – a day of meaningful discussions on process automation, data intelligence, cloud & AI, operational resilience, and efficiency. Catch the highlights in this video, and stay tuned for the SmartStream Connect series returning to major cities next year. https://lnkd.in/gYzY9fu6 #SmartStreamConnect #AI #DataAutomation #GainingIntelligence #Innovation
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Facilitate the seamless integration and delivery of Operational Technologies (OT) and Information Technologies (IT) data throughout the organisation, spanning from smart field devices to the edge and cloud environments. Step into the future confidently with 4Sight OT leading your digital transformation journey across the value chain. https://bit.ly/3ukA368 #4SightOT #DigitalTransformation #AI #ValueChainOptimizaton
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Facilitate the seamless integration and delivery of Operational Technologies (OT) and Information Technologies (IT) data throughout the organisation, spanning from smart field devices to the edge and cloud environments. Step into the future confidently with 4Sight OT leading your digital transformation journey across the value chain. https://bit.ly/3ukA368 #4SightOT #DigitalTransformation #AI #ValueChainOptimizaton
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Orca accelerates AI workloads with efficiency and low power consumption. Here's what sets it apart: 💻 Multi-model AI Processing: Run multiple AI models simultaneously for advanced tasks like video analysis and object detection. ⚡ Low Latency: Process data instantly at the edge minimizing reliance on the cloud. 🧠 Edge Optimized: Purpose-built for on-site AI deployment, without needing a constant internet connection. 🔋 Energy Efficient: Delivers high performance with optimized power usage. #AIAccelerator #EdgeAI #TechInnovation
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Facilitate the seamless integration and delivery of Operational Technologies (OT) and Information Technologies (IT) data throughout the organisation, spanning from smart field devices to the edge and cloud environments. Step into the future confidently with 4Sight OT leading your digital transformation journey across the value chain. https://bit.ly/3ukA368 #4SightOT #DigitalTransformation #AI #ValueChainOptimizaton
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Want to know more about how AI is revolutionizing network and service operations? Nokia's Cloud&Network Services CTO, Jitin Bhandari, talks about AI, automation, and GenAI's impact on telcos’ business, emphasizing human-centric design and ethical practices. https://lnkd.in/ekA6B39G #TelcoAI #GenAI #DigitalTransformation
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When it comes to generating net new network traffic, in the foreseeable future it's about AI that processes video -- and getting that technology faster into the hands of businesses for useful applications. With video cheap to transfer and store, the analytics unlocked become the gift that keeps on giving. The AI just needs to be smart enough to be trainable like a worker, to monitor for different types of conditions and know how to respond. Machines and people using natural language is revolutionary, but from a net new network traffic opportunity (there are point exceptions) less interesting near-term. The number of human eyeballs and ears is limited. But we can create an infinite number of machines to consume media.
Question: What the impact of #AI traffic on #internet, #WAN and #LAN. BT Group is monitoring and modelling the impacts closely but it is still very early days and I want hear insights from colleagues in the industry. What are your findings so far or predictions? #networks new requirements? impacts? Implications? New drivers: Addressing #DataGravity chalenges, Copilot on every end user device talking to the cloud, AI added to existing platform providers via third parties resulting in tromboned flows, Elephant Flows beyond the DC, Data collection and Curation, inference on the edge etc. What load balancing, congestion and capacity management will this drive beyond the DC?
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Just like with hybrid cars the hybrid cloud models are created to reduce energy consumption, improve costs, enhance performance. Learn from Cloudian CEO Michael Tso why #AI needs somewhere powerful and stable for model training and inference, which require huge amounts of space for processing complex workloads. That’s where the cloud comes in. At the same time, AI also needs to happen fast. For it to be useful, it needs to process closer to where the action actually happens—the edge of a mobile device.
The Future Of AI—And Everything Else—Is Hybrid
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Just like with hybrid cars the hybrid cloud models are created to reduce energy consumption, improve costs, enhance performance. Learn from Cloudian CEO Michael Tso why #AI needs somewhere powerful and stable for model training and inference, which require huge amounts of space for processing complex workloads. That’s where the cloud comes in. At the same time, AI also needs to happen fast. For it to be useful, it needs to process closer to where the action actually happens—the edge of a mobile device.
The Future Of AI—And Everything Else—Is Hybrid
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Just like with hybrid cars the hybrid cloud models are created to reduce energy consumption, improve costs, enhance performance. Learn from Cloudian CEO Michael Tso why #AI needs somewhere powerful and stable for model training and inference, which require huge amounts of space for processing complex workloads. That’s where the cloud comes in. At the same time, AI also needs to happen fast. For it to be useful, it needs to process closer to where the action actually happens—the edge of a mobile device.
The Future Of AI—And Everything Else—Is Hybrid
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Just like with hybrid cars the hybrid cloud models are created to reduce energy consumption, improve costs, enhance performance. Learn from Cloudian CEO Michael Tso why #AI needs somewhere powerful and stable for model training and inference, which require huge amounts of space for processing complex workloads. That’s where the cloud comes in. At the same time, AI also needs to happen fast. For it to be useful, it needs to process closer to where the action actually happens—the edge of a mobile device.
The Future Of AI—And Everything Else—Is Hybrid
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