Has the cloud's promise been oversold? Over the last decade, enterprises have become more sophisticated about cloud adoption, moving beyond blind trust in consulting firms and vendors. The focus is shifting towards tailored solutions, measurable results, and aligning technology with business goals. To regain credibility, these players must deliver real solutions and lasting value. It's time for skepticism, thoughtful analysis, and pragmatic advice in technology decisions. Cloud is a tool, not magic. If you're digging out of a hole, stop digging. Don't forget to like and subscribe and check out my other videos on this channel. #cloudcomputing #AI #enterprisetechnology #digitaltransformation #technologyleadership

The explosive growth of #AI is changing how organizations manage their technology. As organizations strive to keep pace with rising demand, AI workloads now span mainframes, #cloud, on-premise systems, and #EdgeComputing environments—creating both opportunities and complexity. Chris Thomas, Ganesh Seetharaman, and Diana Kearns-Manolatos offer valuable insights into how business leaders are navigating the infrastructure challenges of scaling AI. https://delo.tt/6002AYpBs #AIInfrastructure #DigitalTransformation #TechLeadership #FutureOfComputing

The explosive growth of #AI is changing how organizations manage their technology. As organizations strive to keep pace with rising demand, AI workloads now span mainframes, #cloud, on-premise systems, and #EdgeComputing environments—creating both opportunities and complexity. Chris Thomas, Ganesh Seetharaman, and Diana Kearns-Manolatos offer valuable insights into how business leaders are navigating the infrastructure challenges of scaling AI. https://delo.tt/6002AYpBs #AIInfrastructure #DigitalTransformation #TechLeadership #FutureOfComputing

The explosive growth of #AI is changing how organizations manage their technology. As organizations strive to keep pace with rising demand, AI workloads now span mainframes, #cloud, on-premise systems, and #EdgeComputing environments—creating both opportunities and complexity. Chris Thomas, Ganesh Seetharaman, and Diana Kearns-Manolatos offer valuable insights into how business leaders are navigating the infrastructure challenges of scaling AI. https://delo.tt/6002AYpBs #AIInfrastructure #DigitalTransformation #TechLeadership #FutureOfComputing

The explosive growth of #AI is changing how organizations manage their technology. As organizations strive to keep pace with rising demand, AI workloads now span mainframes, #cloud, on-premise systems, and #EdgeComputing environments—creating both opportunities and complexity. Chris Thomas, Ganesh Seetharaman, and Diana Kearns-Manolatos offer valuable insights into how business leaders are navigating the infrastructure challenges of scaling AI. https://delo.tt/6002AYpBs #AIInfrastructure #DigitalTransformation #TechLeadership #FutureOfComputing

The explosive growth of #AI is changing how organizations manage their technology. As organizations strive to keep pace with rising demand, AI workloads now span mainframes, #cloud, on-premise systems, and #EdgeComputing environments—creating both opportunities and complexity. Chris Thomas, Ganesh Seetharaman, and Diana Kearns-Manolatos offer valuable insights into how business leaders are navigating the infrastructure challenges of scaling AI. https://delo.tt/6002AYpBs #AIInfrastructure #DigitalTransformation #TechLeadership #FutureOfComputing

The cloud market isn’t slowing down. It’s accelerating! As spending surges 28% in 2025 and AI reshapes how organizations measure success, one truth is clear: tools don’t deliver outcomes. People and processes do. Enter the new era of Modern MSPs. They’re transforming CloudOps by automating cost control, compliance, and operations, all while turning cloud investments into measurable ROI. 📘 Read Tony Bulding's latest blog to see how leading MSPs are redefining what it means to optimize, operate, and monetize the cloud and why MontyCloud is at the center of it: 👉https://hubs.la/Q03P0Wg40 #MontyCloud #CloudOps #MSP #AWS #FinOps #AI

AI is driving a new wave of cloud repatriation, and here is why it matters. As AI adoption accelerates, enterprise infrastructure strategies are being redefined. The public cloud, once the default for scale and speed, is no longer the one-size-fits-all solution. In this Techstrong.IT article, GTT”s Bastien Aerni, VP of Strategy and Technology Adoption, reveals a striking trend: private cloud spending among enterprises with annual cloud budgets over $10M is accelerating at twice the pace of public cloud investments in 2025, and over half of AI workloads are already running in private or on-prem environments. Key insights: - AI workloads are pushing infrastructure closer to the data. - Repatriation isn’t regression, it’s strategic optimization. - The future is flexible and hybrid. Read the full article here: https://lnkd.in/exCphwt3.  #AI #CloudRepatriation #PrivateCloud #TechstrongIT #GTT 

Enterprise AI is exploding, but cost management shouldn’t be a constant fire drill. In our latest blog, we break down real-world AI cost scenarios, the most common ways organizations track spend, and three ways to move beyond reactive fixes (including the strategy proven to work best): https://bit.ly/4n6BDOS #Cloud #TangoeOneCloud #FinOpsCertifiedPlatform #CloudDecisions #CloudSpend #CloudExpenseManagement #CloudCostManagement #Tangoe #CloudCostControl #TangoeOneCloud #CloudOptimization #CloudSavings #CloudStrategy #FinOps #CloudSpendManagement #FinOpsStrategy #FinOps2025 #CloudDissatisfaction #AIAutomation #AICosts #CIOStrategy

🚀 AI + Cloud Trend: The Rise of Hybrid AI Architectures One of the biggest shifts I’m seeing right now is the move toward hybrid AI + cloud setups. Instead of keeping everything on one platform, companies are mixing and matching: 🔹 Training large models on public cloud (AWS, Azure, GCP). 🔹 Running inference on edge devices for speed + cost efficiency. 🔹 Using private clusters for sensitive data. 💡 Why it matters: This approach balances scalability, cost, and compliance — something most enterprises can’t ignore. 👉 Question for you: Do you think hybrid AI architectures will become the default model, or will enterprises continue to lean heavily on a single cloud provider? #CloudComputing #ArtificialIntelligence #HybridCloud #EdgeAI #CloudEngineering #TechTrends ⚡ This style keeps you educational (explaining a trend), engaging (question at the end), and forward-looking — perfect for wrapping up September strong.