Cloud computing is no longer just an infrastructure choice—it has become the backbone of enterprise AI transformation.Today, nearly 60% of enterprise data is stored in the cloud, and the combined cloud revenues of Amazon, Microsoft, and Google exceed $300 billion. With AI accelerating innovation at an unprecedented pace, the real question is:Is AI reshaping cloud strategy—or redefining it entirely?In this episode of FUTURE FORWARD, we explore how AI and cloud computing are tightly interconnected, why enterprises cannot scale AI without cloud infrastructure, and how rising AI workloads are changing cost, governance, and architectural decisions.Hosted by Abhishek Srivastava, Founder & CEO, Techcanvass, this conversation features Paritosh Darekar, Associate Director – AI Labs (Solution Architect), who shares practical, enterprise-grade insights from building GenAI-powered solutions on cloud-native architectures.From startups scaling overnight to enterprises managing multi-region resilience, this episode breaks down cloud computing in simple terms—and then connects it directly to AI strategy, cost dynamics, security, and careers.The discussion also addresses a key concern:While AI increases cloud consumption and costs, it also dramatically accelerates value delivery—reducing months of effort into hours.🎤 About Our GuestParitosh DarekarAssociate Director – AI Labs (Solution Architect)Paritosh works at the intersection of cloud, data, and AI—designing scalable, enterprise-grade AI systems built on cloud-native foundations. He is passionate about responsible AI adoption, system design excellence, and aligning architecture with measurable business value.🔗 Connect with Paritosh Darekar on LinkedIn:https://www.linkedin.com/in/paritosh-darekar/🔍 In this episode, you’ll learn:* Cloud computing explained in practical, simple terms* Why AI cannot scale without cloud infrastructure* How AI impacts cloud costs (and why value still outweighs cost)* Public vs private vs hybrid cloud use cases* Data residency risks in AI applications* Vendor lock-in and multi-cloud strategies* How AI agents may automate cloud troubleshooting* Why cost observability & FinOps are underhyped* Key cloud career paths (Cloud Architect, DevOps, Security, MLOps, AI Platform Engineer)* How Business Analysts & Product Managers can contribute to cloud cost optimization* The one foundational skill every tech professional must master🎯 Who should watch this episode?* Cloud Architects & DevOps Engineers* AI & ML Professionals* Business Analysts & Product Managers* Enterprise Technology Leaders* Students planning a career in Cloud or AI📺 Subscribe on YouTube: @techcanvassacademy🎧 Spotify: https://tnvs.in/335k9bf9🍏 Apple Podcasts: https://tnvs.in/y8zndc9z📩 Business & collaboration inquiries:[email protected]🔥Explore our AI courses:AI Certification for Business Analysts: https://tnvs.in/3bkvp43e AI Certification for Data Analysts: https://tnvs.in/e3ebs98t If this episode helped you understand the deep connection between AI and cloud computing, don’t forget to LIKE, SHARE & SUBSCRIBE.Move beyond infrastructure—understand cloud as the foundation of intelligent systems.#FutureForward #CloudComputing #AIInfrastructure #EnterpriseAI #CloudStrategy #SystemDesign #FinOps #Techcanvass