💡 What is Edge AI? 🌐 Edge AI is a technology that processes data close to the source, rather than relying on the cloud. Let’s explore why this approach is necessary. History: Early Cloud Computing: Initially, most data was processed in the cloud, but this caused delays in situations where real-time responses were needed, such as in self-driving cars and medical applications. The Rise of Edge Computing: Edge AI emerged to allow data to be processed near the device, enabling real-time data analysis. Why Is It Necessary? Low Latency: Processing data close to the device means faster reactions, making it ideal for applications like self-driving cars that need instant decision-making. Bandwidth Savings: There’s no need to send large amounts of data to the cloud, reducing network strain and saving on communication costs. Edge AI is especially expected to thrive in environments where real-time performance is critical. Next, I’ll detail what multimodal AI can achieve! 🔗 #AI #EdgeAI #DataProcessing #RealTime #CloudComputing
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This is what we were cooking lately at #Hypertecgroup. Our Cloud Infrastructure as a Service just unveiled their #immersioncooling cloud services. From regular compute (CPU/GPU), to AI compute for training or inference, all under the same roof (immersion tank I meant 😀)! Check this out!
🌍 🌞 It's Earth Day, and we're thrilled to celebrate it with a sustainable innovation! ☁️🌱 Hypertec Unveils Sustainable AI Cloud with Immersion-as-a-Service. Together with Intel Business and ADACEN, we're transforming the industry with: ◽ Unparalleled performance for AI/ML, HPC, and beyond. ◽ Scalability and cost-efficiency to supercharge your business. ◽ Significant reduction in carbon footprint for a greener tomorrow. Expanding to new regions across North America! ➡ Read press release: https://lnkd.in/eQbfz3g5 #Sustainability #ImmersionCooling #AI #CloudComputing #EarthDay
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Here’s the real problem with an on-device accent softening AI solution: it’s limited by memory and compute power. When agents are using low-powered PCs, they run into two major issues: 1️⃣ Memory limitations: As multiple processes kick off, memory runs low, which affects voice processing quality and consistency. 2️⃣ Reduced AI capabilities: To fit the AI on these devices, we have to miniaturize the model—resulting in a less powerful, less advanced AI. This sacrifices naturalness and clarity in voice quality. The Solution? A cloud-based AI model like Tomato.ai. By moving the AI to the cloud, we get: More processing power without local device constraints A fuller AI model using the latest advancements Low latency, delivering natural, intelligible voice It’s time to focus on solutions that truly empower agents to provide the best experience. #AI #CloudSolutions #CallCenterAI #CustomerExperience #Innovation #onDeviceAI
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Using AI at the edge for IIoT? Edge AI expert Jack Ferrari explains why it’s a game-changer for manufacturing. By processing data at the edge, facilities can gain faster, more secure insights without heavy cloud demands.✅ Learn more about bridging IIoT and AI from this conversation with Jack! #WhereTodayMeetsTomorrow #Engineering.com #DigitalTransformationTuesday #IIoT #EdgeAI #Manufacturing #AI #GainFaster Read Now: https://oal.lu/9o3dN
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Did you know AI has been around since the 1950s? So why does it feel like we’re seeing this massive AI explosion just recently? Well, the answer comes down to two things: Big Data and Cloud Computing. Think about it—today, we’re swimming in data! From our social media posts to sensors in smart devices... data is being generated at a scale we’ve never seen before. This is Big Data—and it's what AI feeds on to learn and get smarter. Then, there's Cloud Computing. AI needs a ton of computing power to make sense of all that data. A few decades ago, this was a major roadblock for many. But now, thanks to the cloud, anyone can tap into vast computing resources without needing their own supercomputers. This has completely opened the door for AI innovation and growth. So, in short, AI's been here for a while, but it’s these two powerhouses—Big Data and the Cloud—that are making it take off like never before. P.S. Human 10% & AI 90% Generated content #AI #BigData #CloudComputing #TechTrends #ArtificialIntelligence
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Edge AI: Merging Artificial Intelligence with Edge Computing in Manufacturing 💻 Uncover the transformative power of Edge AI, where artificial intelligence is deployed directly at the edge of the network in manufacturing settings. Dive into how this cutting-edge technology enables real-time decision-making, enhances anomaly detection, and improves quality control—all without depending on centralized cloud systems. Discover how Edge AI is revolutionizing manufacturing by bringing intelligence closer to where data is generated, reducing latency, and increasing operational efficiency. 🌟 Join us at the 3rd Annual Future Factory Show India on September 26 in Mumbai to explore the latest advancements in Edge AI and its impact on the future of manufacturing. Register your interest now: https://lnkd.in/gSGhwy2G Let’s drive innovation in manufacturing together! #EdgeAI #ManufacturingInnovation #FutureFactoryShowIndia #RealTimeDecisionMaking #QualityControl #AnomalyDetection #Industry40 #SmartManufacturing #EdgeComputing
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🌟Edge AI: The Future of Intelligent Technology🌟 Edge AI is revolutionizing the way data gets processed: fast, private, and real-time decision-making. From self-driving cars to intelligent health care devices, it is transforming entire industries with minimum energy consumption while enhancing security. Do you wonder where Edge AI fits into your business strategy? Or how does it compare with Cloud AI? Let's get the conversation started – drop your thoughts below!💬 #EdgeAI #TechnologyTrends #Innovation #FutureOfTech #CloudVsEdge
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Check this out: Edge AI is revolutionizing technology with real-time insights and energy-efficient innovations.🌟
🌟Edge AI: The Future of Intelligent Technology🌟 Edge AI is revolutionizing the way data gets processed: fast, private, and real-time decision-making. From self-driving cars to intelligent health care devices, it is transforming entire industries with minimum energy consumption while enhancing security. Do you wonder where Edge AI fits into your business strategy? Or how does it compare with Cloud AI? Let's get the conversation started – drop your thoughts below!💬 #EdgeAI #TechnologyTrends #Innovation #FutureOfTech #CloudVsEdge
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Spectral Capital and Vogon Cloud: Transforming AI and ML with Quantum-Powered Cloud Solutions Vogon Cloud stands out in the IT industry, particularly in Artificial Intelligence (AI) and Machine Learning (ML), by combining quantum computing with a decentralized, eco-friendly, and flexible cloud infrastructure. Its key features include: 1. Decentralized Infrastructure: Spreads resources across multiple locations, enhancing data security and allowing faster AI processing by bringing computation closer to data sources. 2. Edge Computing: Enables real-time data analysis, crucial for applications needing low latency, such as autonomous vehicles and fraud detection. 3. Renewable Energy Usage: Powers AI processes sustainably, aligning with environmental standards while meeting high energy demands. 4. Hybrid Cloud Integration: Offers flexible scaling by blending on-premises and cloud resources, ideal for fluctuating AI workloads. 5. Quantum Computing Acceleration: Boosts AI model training and complex data analysis, transforming industries that rely on intensive computation, from healthcare to finance. Vogon Cloud’s combination of these features sets a new standard in cloud computing, making it a powerful, sustainable platform for advancing AI across various sectors. #FCCN, #Vogoncloud, #Cloudcomputing, #AI SpectralCapital.com
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Have a trained AI model you want to use with thermal imaging, live? Our new, EdgeIR infrared cameras include a built in AI accelerator IC that allows you to upload and run your AI within the video pipeline. No latency. No need to stream all the data to the cloud. AI implementation made easy. https://lnkd.in/ebdeCrEh #ai #edgedevices #infrared
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In today's tech landscape, blending AI at the edge and in the cloud is vital. Edge AI transforms data processing, empowering real-time decision-making with minimal delay and heightened efficiency. Other benefits of Edge AI include: 🔗 Enhanced automation levels 🔗 Utilization of digital data for real-time operations 🔗 Remote device management 🔗 Immediate decision-making #AI #edgeai #artificialinteligence
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