Telecoms.com periodically invites expert third parties to share their views on the industry’s most pressing issues. In this piece Honoré LaBourdette, acting SVP, Global Telco, and VP, Telco Partner Ecosystem at Red Hat, explores how best telcos can make use of some emerging technologies. La Bourdette expands on the following themes in this article Integrated automation. To best integrate clouds with a scalable platform, two things are essential: end-to-end automation and AI. Applying AIOps to infrastructure. To date, service providers' use of AI tends to be in areas such as customer service with chatbots, compliance checks, or malware detection. The use of AI in infrastructure optimization is still in its infancy. Making Sense of Hybrid Cloud. The rise of AI is, in turn, the rise of the cloud. Organizations are increasingly realizing that they need on-premises, edge and cloud resources to get the most out of their AI projects and so are working on strategic integration of hybrid cloud solutions into AI initiatives. This is driven by the need to combine data security and sovereignty with the computing power required for powerful AI models, while keeping the cost of training models and model inference under control. Click below to read more about the insights shared by La Bourdette on these themes. Honoré LaBourdette is acting senior vice president of Global Telco and vice president of Telco Partner Ecosystem at Red Hat. At Red Hat, she has global responsibility for enabling service providers, ecosystem partners and enterprise 5G networks to rapidly deploy cloud-native applications at scale using Red Hat’s open hybrid cloud technologies. #Telco https://lnkd.in/gGW44ebT
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The AI market is set to expand significantly. Bain's 5th Annual Global Technology Report reveals that AI and its hardware will continue to grow by 40-55% per year, leading to revenue between US $780bn and US $990bn. However, not all this innovation will rely solely on cloud providers. For organisations with sovereignty or security needs, colocation data facilities offer a secure and flexible way to meet AI objectives, with a lower total cost of ownership. As AI scales, solutions not dependent on cloud providers will be crucial for businesses to maintain control and meet compliance standards. Learn more about how data centres can support your AI ambitions in our blog here: https://lnkd.in/ebX2Maae #AI #DataCentre
Deploying Generative AI in the colocation facility - Serverchoice.com
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NetApp has joined the Vultr Cloud Alliance to enhance AI cloud services by leveraging the strengths of multiple technology providers. This partnership addresses the growing demand for scalable infrastructure suited for cloud and AI workloads. By integrating NetApp's ONTAP platform with Vultr's global data center network, organizations can access advanced data management capabilities, optimizing workflows for sectors like financial services, healthcare, manufacturing, and media. The alliance allows organizations to scale and integrate AI and cloud operations without vendor lock-in. Members include AMD, SQream, Qdrant, Console Connect, and Run:ai, each providing unique solutions to address challenges associated with AI adoption, such as data management, security, and compliance. A recent S&P Global Market Intelligence report highlights the importance of cost-effectiveness, flexible pricing, and robust security when selecting cloud platforms for AI. The collaboration emphasizes enhanced data protection and compliance, cost-effective scalability, and hybrid multicloud flexibility. NetApp ONTAP features built-in encryption and automated backup, while Vultr's infrastructure minimizes reliance on on-premises resources. Use cases include automating document tasks in financial services, streamlining report generation in healthcare, and optimizing delivery workflows in retail, ultimately facilitating AI-driven innovation while ensuring data control. Benefits include simplified hybrid cloud storage, support for AI and machine learning with Vultr's Cloud GPU offerings, automated data tiering for cost efficiency, and compliance tools for regulated sectors. Executives from both organizations stress the alliance's role in bridging AI capabilities with data infrastructure, aiming to accelerate digital transformation while meeting security, scalability, and flexibility demands. #CloudComputing #All CountriesWant more analysis of major developments in AI, semiconductors, and cloud computing in Asia? Subscribe now to the Cognitive Asia newsletter--free of charge--at Substack https://lnkd.in/g4s6bqfi https://lnkd.in/eCwqdNnm
NetApp partners with Vultr Cloud Alliance for scalable AI solutions
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#TechMahindra and #AWS collaboration to help customers transition network operations from an on-premises infrastructure to a real-time preventive model operating on a hybrid cloud. https://trib.al/i0OArrO
Tech Mahindra and AWS collaborate to integrate GenAI into telecom networks
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🌟 Post-Event Recap: "Cloud: The Ultimate Digital Enabler" 🌟 We’re thrilled to share insights from the recent Community event "Cloud: The Ultimate Digital Enabler" event! The core message was clear: the cloud isn't just technology—it's a catalyst for transformation. Here are some of the key takeaways to propel your business forward: 🚀 Beyond Infrastructure: Embrace serverless functions (FaaS) and a cultural shift. 👥 Human-Centric: Focus on change management, partnerships, and cost control. 🔐 Security: Robust measures for misconfiguration, access control, and GDPR compliance. 🏛 Public Sector: Multi-phased approach, data interoperability, and green data centers. 🩺 AI in Healthcare: Standardize data, re-engineer processes, and explore AI diagnostics. 📈 Evolving Roles: Adapt CIO and CISO roles for data sovereignty and responsible innovation. 🏫 Education & Industry: Cloud initiatives driving sector-specific solutions. 💡 Secure Modernization: Use private AI and FaaS for scalable data value, enhance flexibility with multi-cloud strategies. 🌍 Democratizing AI: Promote accessible, responsible AI innovation while tackling energy consumption. Read our latest blog post now to dive deeper! 🔗 https://lnkd.in/dmKzgqrK #CIONETExperience #CIONETItalia #CloudComputing #DigitalTransformation #Agility #PublicCloud #HybridCloud #MultiCloud
CLOUD: The Ultimate Digital Enabler
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Lumen Technologies Partners with Google Cloud to Drive AI Innovation and Accelerate Digital Transformation Lumen is partnering with Google Cloud to power AIOps and proactive data insights across its network, as Lumen continues to drive operational efficiencies. Using Google Cloud's infrastructure, databases, and BigQuery data and analytics platform, the company has built Lumen® Digital Twin powered by AI providing real-time insights across the Lumen network. These insights help Lumen proactively detect and quickly resolve network issues before they reach its customers. #DigitalTransformation #AIInnovation #AIOps #ProactiveInsights #CloudPartnership #BigDataAnalytics #GoogleCloudPartner #RealTimeInsights #NetworkOptimization #LumenTechnologies #Lumen #Google #AI #Cloud #EdgeComputing #DigitalTransformation #CloudNetworking #5GInnovation #AIOps #Cybersecurity #DataAnalytics #NetworkOptimization #FutureOfConnectivity #Investment #InvestmentOpportunity
Lumen Technologies Partners with Google Cloud to Drive AI Innovation and Accelerate Digital Transformation
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Cloud technology has the potential to drive innovation, create market disruptions, improve customer retention, and help organizations gain a competitive edge. In fact, many capital firms in the U.S. are leveraging hybrid cloud to: 1. Accelerate disaster recovery 2. Perform investment analysis with AI 3. Improve data compliance Are you leveraging a hybrid cloud in your organization? What benefits are you seeing? Read the full article: https://bit.ly/3RwU6ae #HybridCloud #AI #Innovation #IT
How Are U.S. Capital Firms Using the Hybrid Cloud?
biztechmagazine.com
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It’s time to address the current challenges facing telecommunications companies when it comes to operating their networks more efficiently and monetizing them effectively. 🌐 The key to success lies in designing and building an intelligent, autonomous infrastructure, which includes the use of automation, AI, and the favorable economics of a hybrid cloud model. In today's rapidly evolving industry, the use of the cloud is undergoing a rethink. 🔄 It's becoming clear that the original plan of moving everything to the public cloud may not be the most effective approach. Different workloads have different requirements, and hybrid scenarios have proven to be the best way to meet compliance, security, and economic needs. 🤝 Many service providers are currently reassessing their cloud migration strategies, gaining a more nuanced understanding of the economics of their operations. This, combined with changing regulatory requirements and business strategies, is leading to a focus on hybrid cloud strategies that provide the necessary flexibility to adapt to changing requirements and financial, operational, and business objectives. To reduce the complexity of a hybrid environment, organizations are looking for a horizontal and unified platform that provides a consistent set of operational tools and security capabilities across multiple clouds. ☁ I'd love to hear your thoughts on this. How do you think the shift towards hybrid cloud strategies will impact the telecommunications industry in the coming years? 🤔 #Cloud #AI #Automation #HybridCloud #Technology #Innovation #TeamEricsson
Cloud, AI and automation for telco: the art of the possible
telecoms.com
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𝐀𝐝𝐝𝐫𝐞𝐬𝐬𝐢𝐧𝐠 𝐂𝐥𝐨𝐮𝐝 𝐌𝐢𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞𝐬 𝐟𝐨𝐫 𝐀𝐈 𝐚𝐧𝐝 𝐃𝐢𝐠𝐢𝐭𝐚𝐥 𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 For many enterprises, #CloudMigration is a key part of their digital transformation, but it can be a complex process. A recent MIT survey revealed that 34% of organizations view incomplete cloud migration as a major hurdle to effective AI deployment. Common challenges include security risks, high costs, and legacy infrastructure, making the transition more difficult. CAST Imaging can play a pivotal role here in helping enterprises : - Improve data quality for deeper AI insights. - Streamline the migration process to reduce complexity. - Optimize data management for smarter decision-making. As we move forward, adopting multi-cloud strategies and ensuring stable connectivity will be key to unlocking AI’s full potential. Reach out for more information. Luc Perard #CloudMigration #AI #DigitalTransformation
Cloud migration struggles are a big roadblock to enterprise AI
fierce-network.com
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It’s time to address the current challenges facing telecommunications companies when it comes to operating their networks more efficiently and monetizing them effectively. 🌐 The key to success lies in designing and building an intelligent, autonomous infrastructure, which includes the use of automation, AI, and the favorable economics of a hybrid cloud model. In today's rapidly evolving industry, the use of the cloud is undergoing a rethink. 🔄 It's becoming clear that the original plan of moving everything to the public cloud may not be the most effective approach. Different workloads have different requirements, and hybrid scenarios have proven to be the best way to meet compliance, security, and economic needs. 🤝 Many service providers are currently reassessing their cloud migration strategies, gaining a more nuanced understanding of the economics of their operations. This, combined with changing regulatory requirements and business strategies, is leading to a focus on hybrid cloud strategies that provide the necessary flexibility to adapt to changing requirements and financial, operational, and business objectives. To reduce the complexity of a hybrid environment, organizations are looking for a horizontal and unified platform that provides a consistent set of operational tools and security capabilities across multiple clouds. ☁ I'd love to hear your thoughts on this. How do you think the shift towards hybrid cloud strategies will impact the telecommunications industry in the coming years? 🤔 #Cloud #AI #Automation #HybridCloud #Technology #Innovation
Cloud, AI and automation for telco: the art of the possible
telecoms.com
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It’s time to address the current challenges facing telecommunications companies when it comes to operating their networks more efficiently and monetizing them effectively. 🌐 The key to success lies in designing and building an intelligent, autonomous infrastructure, which includes the use of automation, AI, and the favorable economics of a hybrid cloud model. In today's rapidly evolving industry, the use of the cloud is undergoing a rethink. 🔄 It's becoming clear that the original plan of moving everything to the public cloud may not be the most effective approach. Different workloads have different requirements, and hybrid scenarios have proven to be the best way to meet compliance, security, and economic needs. 🤝 Many service providers are currently reassessing their cloud migration strategies, gaining a more nuanced understanding of the economics of their operations. This, combined with changing regulatory requirements and business strategies, is leading to a focus on hybrid cloud strategies that provide the necessary flexibility to adapt to changing requirements and financial, operational, and business objectives. To reduce the complexity of a hybrid environment, organizations are looking for a horizontal and unified platform that provides a consistent set of operational tools and security capabilities across multiple clouds. ☁ I'd love to hear your thoughts on this. How do you think the shift towards hybrid cloud strategies will impact the telecommunications industry in the coming years? 🤔 #Cloud #AI #Automation #HybridCloud #Technology #Innovation
Cloud, AI and automation for telco: the art of the possible
telecoms.com
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