To understand how organizations are implementing an integrated #cloud and #AIstrategy, MIT Technology Review Insights and Infosys surveyed 500 business leaders across multiple industries. Here are their findings:

🚨 Your storage infrastructure could make or break your AI success. 🚨 This Forbes article discusses how the wrong storage choices create latency and scale issues that derail AI initiatives. Read it for an expert perspective on building a storage strategy that matches your AI ambitions.

Explore the ups and downs in the cloud market with this deep dive into popular cloud platforms. Understand to adapt. Figures from industry analysis note that while AWS remains dominant, competitors Azure and Google Cloud are gradually increasing their market share. Beyond simply charting out the present market landscape, it further underscores the need for tech professionals to constantly update their skills in the rapidly evolving cloud ecosystem Read this for robust insights into crafting your cloud journey and making informed decisions about which platforms to master.

Despite economic uncertainty, execs are pressing forward with GenAI. Why? Because they see long-term value in productivity gains, customer experience, and competitive advantage. 📈 This article from ITPro magazine highlights what's driving that continued enthusiasm and why you should prioritize GenAI. If you're building a business case for AI, this is worth a read.

Traditional security tools weren't built for the complexity of today's cloud environments—and they definitely weren't built for AI. This article outlines how AI is transforming runtime protection with: ✅ Real-time threat detection ✅ Behavior-based anomaly alerts ✅ Visibility across multi-cloud and containerized environments As organizations shift to modern, distributed cloud architectures, securing them requires smarter tools—and smarter strategies.

What happens when a global luxury brand faces a consumer slowdown? It doubles down on #AI. 🤖 LVMH is betting on artificial intelligence to boost productivity, streamline logistics, and personalize marketing. Read why your organization should do the same.

AI can predict workload patterns and dynamically allocate resources such as CPU, memory, and storage to prevent resource abuse, ensuring optimal performance and reducing costs. More on using AI to optimize #CloudOps ⬇️

In a world that celebrates urgency, what if the real key to success is strategic procrastination? An AI CEO explains why delaying can drive better outcomes:

To paraphrase Mark Twain, the death of on-prem has been greatly exaggerated. Why the choice between on prem and cloud environments is not as straightforward as it once seemed: