Denvr Dataworks’ Post

Earlier this summer, Qualcomm hosted a workshop focused on the future of AI. They highlighted the importance of combining cloud and edge AI to address challenges like power efficiency and performance. What is Cloud-Edge AI Model? Let's understand Cloud-Edge AI is a hybrid approach that combines the processing power of cloud computing with the real-time capabilities of edge devices. Key aspects of this model include: ✔ Edge Device Processing ✔ Cloud-Based Training and Inference ✔ Hybrid Approach Benefits of the Cloud-Edge AI Model: ✔Reduced Latency ✔Enhanced Privacy ✔Improved Efficiency ✔Scalability Qualcomm's cloud-edge AI model represents a promising approach to harnessing the power of AI while addressing the challenges of performance, power efficiency, and privacy. #softwaredevelopment #ai #qualcomm #model #solutionarchitect #leader #meta #chatgpt

😮 Unleashing Generative AI with Arash Ghazanfari.   In today’s interview we chat with Arash Ghazanfari UK CTO for Dell Technologies, who dives into five powerful strategies to help digital leaders maximise the potential of Generative AI.    Enterprise data, whether customer insights, operational metrics, or market intelligence, is a valuable differentiator, fuelling impactful AI initiatives when used strategically. Instead of moving data to the cloud, Arash suggests bringing AI capabilities directly to the data, enhancing control and reducing costs. 😎 To avoid vendor lock-in, Arash recommends open, modular architectures that adapt to evolving needs and stresses the value of building an open AI ecosystem by collaborating across platforms like Nvidia, Intel, and Meta.   Is your organization using these strategies to drive its AI journey? 🎙 Take a listen now and join the conversation and share your approach below! 👇 https://lnkd.in/eK5kU9c2 #GenerativeAI #DigitalTransformation #DellTechnologies

🌐 Vision AI is Moving to the Edge The next breakthrough in computer vision isn't happening in the cloud - it's happening on your devices. At Matrice.ai AI, we're pioneering the shift to edge-first CV: - Real-time processing at the edge - 90% reduction in bandwidth needs - Custom optimization for any edge device - Automated model compression without accuracy loss Why this matters: 📱 Faster response times 🔒 Better privacy 💰 Lower operational costs ⚡ Reduced energy consumption We're not just building technology - we're reshaping how businesses deploy AI in the real world. #EdgeAI #ComputerVision #Innovation #Technology

🚀 Dive into 2024 with AI! 🤖💡 In 2024, AI is set to revolutionize the tech landscape with nine groundbreaking trends. From realistic expectations to custom local models, these trends shed light on the evolution of AI capabilities. 🌟 Embrace the shift towards multimodal AI and smaller models for enhanced efficiency. 💻💬 Keep an eye on GPU and cloud costs to optimize resource consumption. 🌥️✨ Stay ahead of the curve by focusing on model optimization and understanding regulatory frameworks. 📈⚙️ The rise of virtual agents and shadow AI emphasizes the need for security and compliance. 🔒🔍 Are you ready to unlock the full potential of AI in 2024? 🚀💭 #ArtificialIntelligence #TechTrends #Innovation2024

AI Tech Spending--Organizations Invest in AI Adoption: Despite high interest rates, organizations are investing in employee-facing AI projects. AI is often the single largest tech budget line item, reinforcing the focus on data cleaning for AI integration. The content raises these issues: How will employees use AI at work? How will the HPE and Nvidia partnership accelerate AI deployment?  To what extent is corporate tech spending on AI and cloud on track?    https://lnkd.in/gkH6THpv #cnbc #technology #techspending #techbudgets #workeradoption #HPE #Nvidia #Microsoftcopilot #AI #JoyceFlory #ghostwriter

The significance of edge AI development is growing and represents a key step in advancing the AI ecosystem, according to Mandeep Singh, senior technology analyst. Edge AI is particularly valuable for real-time decision making and cost savings, which are crucial in areas such as health care, manufacturing and transportation and could lead to a larger user base than cloud-based AI. Our scenario analysis finds that the edge AI semiconductor market could be as much as 3.37x the size of the cloud-based AI market by the end of 2032. https://lnkd.in/e-qG3uUM #AI #mobilephone #cloud

We’re thrilled to introduce Jona.AI, where our passion lies in supporting machine operators to achieve their best work. Our journey began with a simple yet powerful idea: machines should assist humans, not replace them. 🤖 Our Approach: At the heart of Jona.AI is a commitment to developing model-based control systems that make machine operation more reliable and efficient. Our technology is designed to be a partner to the operator, enhancing their capabilities and ensuring precision in every task. 🎯 Our Mission: Our mission is to empower operators with intelligent systems that assist in performing tasks with greater accuracy and consistency. We envision a future where human expertise is complemented by the precision of machines. 🌟 Behind the Scenes: The image featured in this post offers a peek into the ‘brain’ of our cutting-edge technology—a sparsly connected neural network. This network forms the foundation of our systems, enabling us to deliver robust AI capabilities directly to devices. By eschewing traditional cloud computing, we ensure that our model is not only more secure and reliable but also more cost-effective and environmentally friendly. This approach allows for powerful AI processing on the machine itself, reducing latency and enhancing user privacy. #HumanCentricAI #EdgeAI #MachineAssistance #Innovation #JonaAI #FutureOfWork #LiquidNeuralNetworks

To implement AI responsibly, we need to be able to open the black box and lay out the decision making process that the model made. Our Chief of AI Research and Development Stefanos Poulis explains how SeekrFlow overcomes the biggest pitfalls of generically trained LLMs, enabling enterprises to build and validate their own trusted AI models. Learn more about SeekrFlow in Intel Developer Cloud™: https://bit.ly/4auceJj #Seekr #Intel #ResponsibleAI

Leaders making larger investments in AI and engaging in advanced practices are faring better in the market, with nearly 60% of companies having deployed some form of AI tools or resources (McKinsey & Company). Our latest blog post at Hyperstack explores the transformative impact of AI across various industries. From automating routine tasks to extracting deep insights from data, AI is revolutionising the way businesses operate. We delve into how AI enhances decision-making, customer experience, operational efficiency, and predictive analytics, empowering companies to lead in their markets. Discover how AI tools are becoming more accessible, making them a viable option for businesses of all sizes. For a detailed look at how your company can leverage AI to gain a competitive edge and foster innovation, read the full article - link in the comments! As AI models become more complex, access to cutting-edge infrastructure is important. Cloud providers have emerged as an ideal platform for AI/ML applications, offering on-demand access to powerful GPUs, automation tools and enterprise-grade security. At Hyperstack, we offer tailored solutions for building, deploying and scaling AI applications for your business. Sign up using the link in the comments below to access the powerful NVIDIA GPUs that deliver record-breaking performance for training and running AI models. #Hyperstack #AI #BusinessTransformation #AIforBusiness #Innovation #ArtificialIntelligence #MachineLearning #MarketInsights #MachineLearning #GenAI #GenerativeAI #CloudComputing #GPU #Cloud #GPUisWhatWeDo

AI everywhere!! But what really means for your business? Remeber the #Cloud revolution? Now we are in #AI revolution!Are you ready?? Let’s #Lenovo #ThinkStations help you in this journey. Regarding Garner, these are the top 30 emerging technologies for 2024: —> Stage 1: Smart world with digital twins, AI avatars, Spatial computing —> Stage 2: Productivity revolution with Gen AI, Model compression, Synthetic data, GenAI-enabled virtual assistants (VAs) —> Stage 3: Privacy and transparency with Human-centered AI (HCAI), Responsible AI, Privacy-enhancing technologies, Decentralised Identity —> Stage 4: Critical enablers with Quantum processors, Tokenization, Web3, Scalable vector databases, Knowledge graphs