BOCA Communications’ Post

AI is the "killer app" for Edge computing. Our customers are using ClearBlade to move their AI models to the edge where the data is being generated locally. This is resulting in huge productivity gains and increased data security. 🙌🏻 #AI #edgecomputing #EdgeAI

Embark on a journey into the future of Industry 4.0 with Sebastián Trolli, Research Manager & Global Head of Industrial Automation at Frost & Sullivan! His latest article on Engineers Outlook, "Industrial AI: The Ultimate Revolution within the Fourth Industrial Revolution," delves deep into the transformative power of AI, reshaping the industrial landscape. Explore self-optimized systems, AI Copilots, and groundbreaking applications revolutionizing industries worldwide. Read the whole article here:

🚨 New Report from Astute Analytica: Unlocking the Power of Edge AI Software (featuring ClearBlade) "At the heart of the edge AI revolution lies the ability to process and analyze data closer to its source, enabling real-time decision-making and actionable insights." 📻 Stay tuned for more information on #EdgeAI this week!

How Generative AI is straining energy infrastructure and amplifying environmental concerns. What are the Key issues? 1. Energy Consumption: 1.1 Massive Carbon Footprint: Training a single large language model can emit as much CO2 as five gas-powered cars throughout their lifetime. 1.2 Data Center Power Demand: Data centers are projected to consume a staggering 16% of total US power consumption by 2030, a dramatic surge from 2.5% before generative AI's widespread adoption in 2022. 1.3 Water Consumption: Training GPT-3, a large language model, in Microsoft's data centers consumes 700,000 liters of clean water. By 2027, global AI demand is projected to withdraw over 6.6 billion cubic meters of water annually, surpassing four times the total annual withdrawal of all of Denmark. 2. Grid Limitations: 2.1 Aging Infrastructure: The current electrical grid struggles to accommodate the exponential energy needs of data centers. This can lead to brownouts, blackouts, and hinder AI deployment. 2.2 Construction Bottlenecks: Data center construction faces delays or cancellations due to the grid's inability to support additional loads, slowing down AI progress. 3. Potential Solutions: 3.1 Renewable Energy: Strategic placement of data centers near renewable energy sources. 3.2 Energy-Efficient AI Models: Research and development of AI models that require less computational power. 3.3 Grid Modernization: Investing in upgrading grid infrastructure to handle the increased demand from data centers. 3.4 Edge Computing: Shifting AI tasks to edge devices (e.g., smartphones, IoT devices) to reduce reliance on power-hungry data centers. 3.5 Efficient Hardware: Utilizing specialized, power-efficient chips designed for AI workloads. 3.6 Water Efficiency: Implementing water reuse and recycling strategies in data centers to minimize water consumption and environmental impact.

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🌟 Welcome to the Vertiv AI Hub! 🌟 Discover how AI is reshaping critical infrastructure and what it means for the future of data centers. The latest GlobalData analyst report dives into the global impact of AI, forecasting enterprise AI spend to skyrocket. 💡 As generative AI transforms virtually all industries, see how Vertiv is leading the charge in supporting this growth and preparing data centers for the AI revolution. Explore more: http://ms.spr.ly/6047YW6iD #VertivAIHub #AIInfrastructure #DataCenterImpact #AIRevolution #TechForecast 📊

🌟 Welcome to the Vertiv AI Hub! 🌟 Discover how AI is reshaping critical infrastructure and what it means for the future of data centers. The latest GlobalData analyst report dives into the global impact of AI, forecasting enterprise AI spend to skyrocket. 💡 As generative AI transforms virtually all industries, see how Vertiv is leading the charge in supporting this growth and preparing data centers for the AI revolution. #VertivAIHub #AIInfrastructure #DataCenterImpact #AIRevolution #TechForecast 📊 Explore more: http://ms.spr.ly/6046lLBDm

🌟 Welcome to the Vertiv AI Hub! 🌟 Discover how AI is reshaping critical infrastructure and what it means for the future of data centers. The latest GlobalData analyst report dives into the global impact of AI, forecasting enterprise AI spend to skyrocket. 💡 As generative AI transforms virtually all industries, see how Vertiv is leading the charge in supporting this growth and preparing data centers for the AI revolution. #VertivAIHub #AIInfrastructure #DataCenterImpact #AIRevolution #TechForecast 📊 Explore more: http://ms.spr.ly/6041Ya97X

Comparing Gartner’s 2024 AI Hype Cycle to 2023 reveals intriguing shifts in trends: ➡ Top Gainers: Knowledge graphs, AI Engineering (topping the hype charts; not sure what's new in it), Neuromorphic computing, Smart robots ➡ Top Losers: Cloud AI Services (fallen into the Trough of Disillusionment from the Slope of Enlightenment), Edge AI (rising towards the peak), Data Labeling and Annotations/AI makers & teaching kits/Operational AI systems (dropped from the cycle) ➡ Retainers (Stable): Prompt Engineering, Autonomic systems, Causal AI, Intelligent applications, ModelOps, Multi-agent systems (big surprise to see it so early stage when this is focal point for all AI systems in 2024) ➡ New Entrants: Quantum AI, Embodied AI, AI Ready Data, Sovereign AI GenAI spans various points: Generative AI, Prompt Engineering, ModelOps, AI Engineering, Foundation Models. The absence of clear patterns underscores the non-mutual exclusivity of these categories. This year, GenAI heavily influenced the cycle, while TraditionalAI (a term I find convenient but not entirely fitting) had minimal impact. I look forward to Gartner's insights for a deeper comparative analysis as I can't share more insights given it's behind a paywall. While I anticipated the progression from last year, I found this year's cycle to be somewhat disjointed. Interesting to see one category get heavily impacted while another linked category seems unaffected (AI Engineering vs ModelOps, Generative AI vs Foundation models). From a plateauing perspective, AGI remains over 10 years away. #ExperienceFromTheField #WrittenByHuman Ref: 2023 cycle taken from Gartner's webpage, 2024 from their LI post

Fascinating insights into the AI landscape! 🌐 It's intriguing to see the shifts in Gartner’s 2024 AI Hype Cycle compared to last year. The rise of knowledge graphs and neuromorphic computing alongside the evolution of AI Engineering is particularly noteworthy. Looking forward to seeing how these trends unfold in the coming years! #AI #GenAI #FutureTech