David Bitton’s Post

📍 Are you at the AI Hardware & Edge AI Summit in San Jose, CA? Make sure to attend our partner Intel Corporation's keynote talk tomorrow at 10:50AM Pacific Time. 🗣 Vasudev Lal will be presenting "Tackling Generative AI Productivity and Efficiency Challenge using Intel® Gaudi® 3 AI Accelerators." He'll cover how the Denvr Dataworks Cloud simplifies business applications like #inference, #RAG, and #training. Don't miss out! ➡ Want more details on the session or interested in learning about Denvr Dataworks? Reach out to Ray Testa, Head of Sales, or Vaishali Ghiya, Head of Channel & Partnerships. #AIHardwareSummit #GenAI #EfficientGenerativeAISummit #denvrcloud #denvrdataworks #ai #accelerators

So, #NVIDIA unveiled Earth-2, a #Cloud platform that uses #AI and #DigitalTwin technology for accurate weather forecasting. It introduces #CorrDiff, an AI model for weather simulations with 12.5X greater resolution, operates 1,000X quicker, and is 3,000X more energy-efficient compared to current numerical weather models. Such developments mark a significant advancement in severe weather forecasting, showcasing the transformative power of cutting-edge AI technologies. Simply incredible! Louise Francis Manoj Vallikkat #WeatherForecasting #DisasterManagement https://lnkd.in/gvsr8SgJ

💡 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

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

Great keynote this morning at the Gartner It Symposium from Jensen Huang, who shared valuable insights on the future of AI. 🚀 As AI becomes more integral to business processes, many companies face challenges moving from AI model training to production. That’s where Vultr comes in. With our top-tier NVIDIA GPUs and flexible cloud infrastructure, we help businesses streamline AI deployment, ensuring you don’t get stuck in experimentation. Our platform enables seamless scaling of AI applications into real-world environments—without vendor lock-in. Key highlights from the keynote: 📍AI drives revenue growth, cost optimization, and risk management. 📍Sustainability should align with AI innovation, balancing energy impact. 📍Open-source alternatives and niche providers play a vital role in AI development. 📍Board directors must prioritize AI ethics, privacy, and open innovation ecosystems. Stop by our booth #231 to discuss how we can help you accelerate your AI journey and overcome deployment challenges. or book a meeting here: https://lnkd.in/epaaxY29 #GartnerSymposium #AI #Cloud #NVIDIA #Vultr #BusinessGrowth #GartnerSYM #GartnerCIO #GartnerIO

✨ The AI Hardware & Edge AI Summit 2024 Post-Show Report is Here! ✨ Over 1,300+ AI and ML professionals joined us in San Jose last month to explore the future of AI infrastructure. If you missed out or want a recap, our 2024 Post-Show Report is now available! Did you know? ◼ The Summit saw 35% enterprise representation from key industries like automotive, pharma, energy, retail, entertainment and more. ◼ Insights also revealed that 79% of enterprise respondents are currently running or plan to run their AI workloads on the cloud or hybrid cloud platforms. ◼ Plus, 46% of attendees held senior roles at the C-Suite, Director, VP, or Head level. 📊 Dive into more insights, key takeaways, audience breakdowns, press coverage, and insightful testimonials from our attendees in our report! Don't miss out—download the full report here: https://lnkd.in/eqg-bYpk #AI #MachineLearning #AIInfraSummit #EdgeAI #TechInnovation

Physical AI Case Study: Edge Computing Meets Sensor Data 🚀 Here's how Archetype AI's Newton is transforming industrial AI deployment: Imagine running sophisticated AI models on a single GPU, no cloud required! In July 2024, we showcased Newton at Khasm Labs Lab’s Summer Social in Kirkland, WA. The demo was straightforward—traffic analytics at an intersection—but the real focus was on demonstrating edge deployment. Key advantages of on-prem AI: 🔹 Lightning-fast responses with low latency 🔹 Enhanced security for sensitive data 🔹 Cost-effective compared to cloud solutions From factories to construction sites, Newton is transforming how we monitor and optimize operations. Read the full case study: https://lnkd.in/ezBPsUUS #PhysicalAI #Manufacturing

Discover how lightning-fast responses, enhanced data security, and cost-efficiency can revolutionize your operations. From factory floors to construction sites, Newton is transforming the way businesses monitor and optimize their processes. Check out our latest blog post to learn more!

Stay Ahead with Today’s Leading Technology Trends! McKinsey & Company’s latest insights spotlight the 15 key technology trends driving the future of business. From breakthroughs in AI to the rapid expansion of cloud computing, these trends are revolutionizing industries at lightning speed. We're here to guide you through these shifts, using cutting-edge technology to fuel innovation and keep your business at the forefront. Discover how we can help your organization leverage these trends for lasting growth and success. #TechTrends #Innovation #AI #CloudComputing #BusinessGrowth

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