Modernizing Core Systems for AI Scaling

Modernizing core systems is one of the biggest challenges organizations face when scaling AI. It requires balancing strategy, execution, and business continuity across complex environments. To explore how organizations are approaching this transformation, we’ve developed a practical perspective on #AIModernization. Download the full paper: https://lnkd.in/ehmfm__4  #GenAI #DigitalTransformation #Cloud #LegacySystems

Modernizing core systems is one of the biggest challenges organizations face when scaling AI. It requires balancing strategy, execution, and business continuity across complex environments. To explore how organizations are approaching this transformation, we’ve developed a practical perspective on #AIModernization. Download the full paper: https://lnkd.in/dPSPz4ty  #GenAI #DigitalTransformation #Cloud #LegacySystems

Modernising core systems is one of the biggest challenges organisations face when scaling AI. It requires balancing strategy, execution, and business continuity across complex environments. To explore how organisations are approaching this transformation, we’ve developed a practical perspective on #AIModernisation. Download the full paper: https://lnkd.in/ehmfm__4  #GenAI #DigitalTransformation #Cloud #LegacySystems

With AI workloads expanding in various organizations, more organizations are realizing that traditional infrastructure is reaching its limits. Cloud platforms provide the scalability, flexibility, and computing power organizations need to train, deploy, and manage AI at enterprise scale. This blog article tells you everything you need to know about how cloud platforms can lay the foundation for your AI strategy. Learn more: https://bit.ly/4fceNom #AI #Cloud #CloudStrategy

Should a learning platform decide how an enterprise manages its cloud, data and governance strategy? Increasingly, the answer is no. Sammir Inamdar, Co-founder & CEO of Enthral.ai, explores this shift with CXOToday — from why cloud flexibility is now a core procurement requirement, to how Agentic AI makes the governance question even more urgent for enterprise learning teams. Read the full feature: https://lnkd.in/dV9TS9zq

Cloud portability is a topic that is increasingly important to our clients and prospects. Regulation is rewriting cloud strategy across APAC, while AI is redefining what's possible in compliance. There is no one-size-fits-all cloud strategy. Discover how financial institutions across APAC are approaching cloud deployment, operational resilience and AI-ready compliance in our upcoming webinar in August. Register now: https://okt.to/obzK9i #CloudPortability #APAC #AI #compliance #Fenergo #webinar

Cloud migration market: $29.2B by 2028. 23.3% CAGR. This isn't an IT backlog item anymore. It's the foundation every enterprise AI strategy is built on. AI agents need clean data. Copilot and Gemini need structured environments. None of it works on a fragmented cloud. The enterprises migrating now aren't behind. They're ahead. Source in first comment. #CloudMigration #EnterpriseAI #CloudFuze #GoogleWorkspace #Microsoft365

AI is changing the way enterprises build, scale, and innovate. But as AI workloads grow, so do the challenges around cloud costs, performance, compliance, and sustainability. Traditional cloud approaches are no longer enough in an era of GPU-intensive workloads, multi-cloud environments, and evolving regulatory requirements. In our whitepaper, 𝗖𝗹𝗼𝘂𝗱 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗶𝗻 𝘁𝗵𝗲 𝗔𝗜 𝗘𝗿𝗮, we explore a practical framework to help organizations reduce waste, improve AI readiness, strengthen security and compliance, and align cloud operations with business goals. If you're looking to get more value from your cloud investments while preparing for the future of AI, this whitepaper is worth a read. Download it today. Link in comments.

As AI workloads move closer to where data is generated, organizations need infrastructure built for scale, resilience, and performance. Our blog explores the key pillars enabling production-ready AI across distributed cloud environments. 🔗 https://lnkd.in/erFQSZv3 #DistributedCloud

AI is getting commoditized / “Tokenized” (just as the Cloud). Your proprietary data—and what you do with it is where lasting competitive advantage lives! TNW shares insights from Mark Hura's keynote at RAISE Summit: https://lnkd.in/gXn5hTc8 #Oracle