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As enterprise Edge AI use cases grow, using a #database built for edge computing is key for businesses to optimize data use and gain a competitive advantage 📈 Here's all you need to know about #EdgeAI and the role of the database 🧠 https://bit.ly/4flFULw

The unique demands of #AI pipelines require that enterprises looking to deploy AI solutions understand what critical storage capabilities they need and how data infrastructure decisions directly impact business outcomes. This guide from NAND Research's Steve McDowell examines those demands more closely and describes ways storage architectures need to evolve. Download the guide: https://weka.ly/3SM3VSn

As enterprise Edge AI use cases grow, using a #database built for edge computing is key for businesses to optimize data use and gain a competitive advantage 📈 Here's all you need to know about #EdgeAI and the role of the database 🧠 https://bit.ly/4flFULw

AI is everywhere... The large language model is going to bring significant advancements in observability, transforming how businesses monitor their infrastructure and workloads. Thats is not enough, Companies can now process and analyze vast quantities of data in real-time, enabling them to detect potential issues before they escalate into costly problems. LLM can ↗ help to significantly improve performance monitoring and speed up the diagnosis of issues ↗ allow efficient tracking of application performance metrics such as latency and throughput and quicker identification of anomalies or performance drops This leads to faster resolution times and improved application reliability. Thanks, Janakiram MSV, for such a great cover on Forbes https://lnkd.in/dR9Zc-ku  #observability #LLM #monitoring

As data centres push to prepare their facilities for AI use cases, memory and storage remain the misunderstood and overlooked aspects of hardware deployments. How does AI memory and storage work, why is it so important to get it right and how should data centre leaders be approaching it? In this article, Jeff Potter, Senior Manager Marketing Operations at ECS (Equus Compute Solutions), shares his insights. Access full article here: https://lnkd.in/eK_Ku4hA #IntelligentDataCentres #DataCentres #AI #MemoryAndStorage #TechInfrastructure #HardwareDeployments #DataCentreManagement #AIStorage #EquusComputeSolutions #TechInsights

📈 As GenAI adoption grows, so does the need for databases that can scale. #AzureCosmosDB is the ideal solution for enterprises looking to support large-scale AI applications with global data distribution. Read the full report: https://lnkd.in/eEh6mjkJ

Data dynamics are essential for digital infrastructure. Using AI and Big Data can assist businesses in growing in a sustainable manner. Incorporate these technologies into your business processes to better serve your customers. #iworkforComcast #DataDrivenGrowth #BusinessGrowth #Technology https://lnkd.in/gYet3eH5

Is your data center ready for #AI and #HPC applications? Let Vertiv help you prepare your infrastructure for the future. Learn about the essential AI Imperatives and Design Principles that will keep you competitive. Don't miss out—read the full article now! http://ms.spr.ly/6046lbMP0

🚀 Is your data platform holding you back? Discover how Microsoft Fabric can simplify data management, accelerate AI projects, and enhance security—all in one platform. With faster deployment times, seamless AI integration, and a streamlined infrastructure, Microsoft Fabric is designed to unlock the full potential of your data. 💡 Want to learn more? 👉 Read the full blog here: https://bit.ly/3TnGHCu #DataTransformation #MicrosoftFabric #AI #DigitalInnovation #DataManagement Alberto Merinos. Eamon Breen ☁

Exciting news in the world of AI data management! According to a recent report by MarketsandMarkets, the AI data management market is set to soar from $25.1 billion in 2023 to an impressive $70.2 billion by 2028, growing at a speedy 22.8% rate. But what does AI data management really mean? It's like giving superpowers to computers by teaching them to understand all sorts of information—videos, audio, text, and more. This helps them make super-smart predictions and find solutions to real-life problems. Big players like IBM, Microsoft, AWS, and others are leading the way, providing services like consulting, system integration, and maintenance to help businesses make the most of AI. Cloud-based solutions are in the spotlight, making it easier for companies to handle tons of data and use powerful AI tools. The healthcare and life sciences sector is also jumping on the AI bandwagon, using it to improve patient care and streamline operations. And guess what? Europe is right in the mix, actively embracing AI solutions and setting the stage for more innovation. Exciting times ahead! What are your thoughts on the AI data management revolution? Let's chat! #AIDatamanagement #TechRevolution #InnovationJourney