Cloud-Driven Innovation

⚡ Thrilled to share my latest Forbes Technology Council article: 𝗥𝗲𝘁𝗵𝗶𝗻𝗸𝗶𝗻𝗴 𝗖��𝗼𝘂𝗱: 𝗙𝗿𝗼𝗺 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗧𝗼 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗰 𝗔𝗱𝘃𝗮𝗻𝘁𝗮𝗴𝗲 Key Insights: ☁️ Cloud Is No Longer Just IT: Cloud has evolved from an infrastructure choice into a strategic capability that shapes innovation, resilience, competitiveness and economic growth 🏛️ Cloud Becomes National Infrastructure: Governments increasingly view cloud alongside energy, transportation and telecommunications as critical infrastructure underpinning modern economies 🚀 Innovation Over Migration: Organizations that focus only on workload migration often miss the real opportunity. Cloud creates value when it transforms operating models, engineering practices and business processes 🌍 Competitiveness At Scale: Cloud availability influences where companies invest, where digital talent concentrates and how effectively nations compete in the digital economy 💰 New Economics Of Transformation: Cloud lowers barriers to innovation, accelerates experimentation and allows enterprises to redirect resources from infrastructure management toward value creation 🔒 Trust And Governance Matter: Security, sovereignty, interoperability and transparency are becoming as important as technical capabilities in driving cloud adoption 💡 A Leadership Conversation: The question is no longer "How do we migrate to the cloud?" but "How do we leverage cloud to drive innovation, agility and long term economic value?" Link: https://lnkd.in/dGbztUY8 #CloudComputing #CloudStrategy #DigitalTransformation #Innovation #DigitalEconomy #CloudInfrastructure #TechnologyLeadership #BusinessTransformation #ForbesTechCouncil #FutureOfCloud

As the conversation around AI-native clouds gains momentum, it’s critical to move beyond the buzzwords and carefully assess the implications for our organizations. The promise of accelerating innovation can’t be overstated—AI-native infrastructures offer unprecedented capabilities that can fundamentally transform business outcomes. However, there’s an often-overlooked cost: the risk of platform lock-in. When innovation comes bundled with proprietary technologies and ecosystems, enterprises may find themselves entwined in one vendor’s trajectory, limiting future agility and negotiating power. This can ultimately stifle the very innovation AI-native clouds promise. What should enterprises do now? The key is to maintain an architectural mindset focused on flexibility, openness, and interoperability. Assess AI-native solutions for their ability to integrate, scale, and adapt as business and technology landscapes evolve. Investing in multi-cloud strategies, open standards, and data portability is more than good practice—it’s future-proofing your enterprise.As leaders, our role is to balance the drive for rapid adoption with the need for sustainable, long-term architectural choices. That balance could be the true differentiator in the AI-native era.

The Quantum Leap From Legacy Systems to Cloud-Native During a chilly autumn morning when I met with the leadership team of one of our longstanding clients. They spoke with a mix of pride and frustration about their legacy systems—once the engine of their success, now a heavy anchor in a fast-paced digital world. Their story resonated deeply with me. It wasn’t just about technology failing to keep pace; it was about the human struggle to adapt in an ever-changing landscape. Recent research reinforces this urgency. Gartner’s 2024 forecast predicts that by 2025, over 80% of enterprise workloads will operate on cloud-native platforms. This shift promises not only faster deployment cycles and enhanced scalability but also a reduction in operational costs by as much as 30%. For companies burdened by outdated systems, these figures offer hope and a clear path forward. At Devsinc, we embarked on our own journey towards cloud-native solutions driven by our commitment to our clients’ futures. I recall countless late nights spent brainstorming and re-engineering our processes. We embraced agile methodologies, established continuous integration and delivery pipelines, and reimagined our infrastructure to unlock new levels of efficiency. One memorable project involved a major retail client whose legacy systems were stifling innovation. After migrating to a cloud-native platform, their time-to-market was reduced by 40%, and defect rates dropped by 35% within just six months. Their renewed agility not only improved customer satisfaction but also reinvigorated their competitive edge. Yet, this transformation isn’t solely about technology; it’s about people. Shifting from legacy systems to cloud-native architectures means rethinking workflows, empowering teams, and fostering a culture of continuous improvement. I’ve seen firsthand how this change can inspire creativity and resilience, transforming operational challenges into opportunities for growth. Embracing cloud-native is more than a technical upgrade—it’s a lifeline in today’s digital era. It offers the promise of agility, responsiveness, and long-term success. At Devsinc, we are dedicated to guiding our clients through this evolution with empathy, expertise, and unwavering support. The journey from legacy to cloud-native is challenging, but every step forward builds a future where technology truly serves us all. Let’s embrace this change together and create a landscape where innovation and human ingenuity drive us to new heights.

Last week, I shared how we scaled and optimized a large cloud modernization program across 10,000+ servers and 300+ applications. Once things stabilized, migrations were predictable, costs were under control, and teams were aligned. And then the conversation changed. It was no longer us asking what's next. The client started asking, "How do we get more value from what we've built?" That is a very different conversation. It shifts the focus from execution to outcomes. From delivery to impact. From completing the migration to continuously extracting value. At that time, this was purely a cloud modernization effort. No AI-driven insights. No intelligent recommendations. Just strong engineering practices and empowered teams. But something interesting happened. Teams stopped just improving what existed and started questioning earlier decisions. One team revisited workloads that had been lifted-and-shifted to IaaS and asked, should these even run this way? They redesigned parts of the architecture, moving to PaaS and serverless where it made sense. That was not just optimization. That was a shift in thinking. Across teams, similar patterns emerged, small experiments, challenging assumptions, rethinking design choices. What stood out wasn’t one big breakthrough, but a mindset change. Innovation didn’t come from a central team. It came from engineers who felt empowered to rethink and rebuild. Over time, innovation became part of how teams worked every day. Now, with AI in the mix, this becomes even more powerful. What once required experience and intuition can now be accelerated with insights and intelligent recommendations. But the foundation remains the same: Innovation at scale starts with teams that are empowered to question, experiment, and evolve. When your client asks, "What more can we get?", it’s not a request for another project plan, it's an invitation to lead differently. Optimization delivers efficiency. Innovation delivers momentum. And momentum is what transforms modernization into lasting impact.

🚀 From Cloud Curiosity to Cloud Confidence - and Now, the AI Frontier When I first stepped into the world of cloud, it felt like stepping onto another planet. Limitless potential and unfamiliar terrain. We were explorers: curious, cautious, and yes, a little skeptical. Fast forward to today, and the public cloud isn’t just where we build - it’s how we think. The real turning point? We stopped treating cloud as a destination and started using it as a strategy. Modernization isn’t a single migration; it’s a discipline. It’s the commitment to continuously simplify, secure, and scale with intention. And when you embrace cloud-native design - containers, serverless, event-driven architectures - you don’t just move faster; you learn faster. That learning loop is where the competitive edge is forged. Over the past year, I’ve watched teams evolve from being “cloud-aware” to truly “cloud-native.” They’ve moved beyond lift-and-shift and started engineering for outcomes - decoupling legacy systems, modernizing data platforms, and designing services that are resilient by default. The results? Shorter release cycles. Better reliability. Freedom to innovate without asking yesterday’s infrastructure for permission. Now we’re entering a new era - one where AI isn’t a feature, it’s a foundation. On Amazon Web Services (AWS), the convergence of scalable compute, curated foundation models, and modern data pipelines lets us build intelligent systems that don’t just respond - they reason. The next wave of advantage lies in agentic AI: systems that act with context, trigger workflows, reconcile data, and collaborate with humans to accelerate outcomes. At NTT DATA, Inc., we’re embedding AI into everything - from engineering to customer experience to operations. Cloud-native architectures are letting us move from insight to impact at incredible speed. When well-governed data meets event-driven services and intelligent agents, you don’t just automate tasks - you amplify decisions. That’s not incremental innovation; that’s transformation. If you’re asking, “Where do we start?” or “How do we make this production-ready?”, here’s my take: ➡️ Anchor AI in your modernization roadmap. ➡️ Treat data quality, observability, security, and cost management as first-class citizens. ➡️ And design for agility — small services, clear interfaces, strong guardrails. If you’re navigating your cloud journey, accelerating modernization, or shaping your AI strategy, let’s connect. DM me or drop a comment — I’d love to exchange ideas on what’s working, what’s next, and how we can accelerate together. See you at re:Invent. RSVP: https://lnkd.in/gBumVVpa #AWS #reInvent #AWSCloud #Modernization #CloudNative #AI #AgenticAI #DataPlatform #NTTDATA cc: Sandip Gupta, Sean McCarron, Oliver Lash-Williams, Lisa Williams, Ryan Reed, Chris Deineka, Shashi Gupta, Erin Boomer, Lauren Wain, Ravi K Ganta, Kerry Kreighbaum, Natasha Pillay, Kevin C., Sashen Naidu

☁️ Cloud Isn’t Just Infrastructure Anymore A few years ago, cloud computing was mainly about moving servers from data centers to virtual machines. Today, the cloud has evolved into something much bigger — a complete innovation platform. Modern cloud platforms now provide everything needed to build and scale digital products: • Serverless Computing for running applications without managing servers • Managed Databases that scale automatically • AI/ML Platforms for building intelligent systems • Event-Driven Architectures for real-time applications • Global Content Delivery Networks for ultra-fast user experiences Instead of worrying about hardware, organizations can now focus on solving real business problems. ⚙️ What Cloud Actually Enables Cloud transforms how systems are built: Traditional IT ➡ Capacity planning ➡ Hardware procurement ➡ Long deployment cycles Cloud Architecture ➡ On-demand infrastructure ➡ Automated deployments ➡ Global scalability 🚀 The Real Power of the Cloud ✔ Launch products faster ✔ Scale systems automatically ✔ Reduce infrastructure management overhead ✔ Enable global availability from day one Cloud computing is no longer just has become a business strategy that defines how quickly organizations can innovate. The companies that succeed in the next decade will not just use the cloud.They will build cloud-native systems designed for continuous change and scale. #CloudComputing #CloudNative #CloudArchitecture #DistributedSystems #Serverless #DevOps #DigitalTransformation #Infrastructure #TechLeadership #ScalableSystems

🚀 The Future of Auto is Being Built in the Cloud Hyundai isn't just transforming their business, they are redefining what is possible when legacy meets innovation. Here's what disruption looks like in 2026: 🔹 New Revenue Channels: Vehicle sales directly on Amazon.com, meeting customers where they already shop 🔹 Connected Experiences: Alexa embedded in every new vehicle, turning cars into intelligent companions 🔹 Enterprise Transformation: SAP RISE on Amazon Web Services (AWS) delivering the agility and resilience needed for what's next But here's what really caught my attention, behind these headline innovations is a fundamental reimagining of operations. Hyundai tackled costly document retention challenges by building a cloud-based management solution on Amazon S3 that seamlessly integrates SAP and non-SAP systems, delivering secure encrypted storage, effortless version control, and lightning-fast search. This is the power of strategic partnership. Not just technology adoption, but true co-innovation that touches every layer of the business, from the customer experience to the back-office infrastructure that makes it all possible. The takeaway? Digital transformation isn't about choosing between customer-facing innovation and operational excellence. The most disruptive partnerships deliver both. Read the full transformation story: https://lnkd.in/ghEH7gix Soulat Khan Chris Grusz Rohan Karmarkar Chris Casey Kirsten Gilbertson Joanne Bae Sejun Kim Sunwoo Kim Ozgur Tohumcu Uwem Ukpong Ruba Borno Bhuvan Wadhwa Pierce Hofman Martyn Mallick #AWS #SAP #DigitalTransformation #Automotive #CloudInnovation #EnterpriseAI #Partnership #Hyundai

AI, GenAI, and cloud are reshaping how lab discoveries happen, accelerating time to market, improving R&D productivity, and opening new scientific opportunities.   But if your data lives in silos, your insights can, too. Many labs are still working through disconnected instruments and systems, limited data context, inconsistent standards, and the complexity of cross-domain integration.   Our “Lab of the Future” vision focuses on building a strong, scalable data foundation that reliably feeds high-quality data into AI models. Designed by our Converge™ by Deloitte team in collaboration with Amazon Web Services (AWS), this approach connects instruments, data, advanced technologies, and change management so scientists can make better-informed decisions and move faster from experiment to insight.   To learn more about how we’re helping unlock life-changing innovation in the cloud-powered lab, I highly recommend this blog from my life sciences colleagues, Raveen Sharma, and Jeffrey Morgan: https://deloi.tt/4sjZtK5

🌍 The Digital Decade is the 𝐄𝐔’𝐬 𝐯𝐢𝐬𝐢𝐨𝐧 𝐟𝐨𝐫 𝐝𝐢𝐠𝐢𝐭𝐚𝐥 𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 by 2030, framing Cloud technology as a foundational building block for innovation, efficiency, resilience, and competitiveness. Here’s the thing: strategy is a great start but we need to learn, and share insights about its practical implementation. In other words: 𝘁𝗵𝗲𝗼𝗿𝘆 𝗶𝘀 𝗶𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁, 𝗯𝘂𝘁 𝗺𝘂𝘀𝘁 𝗯𝗲 𝗶𝗻𝗳𝗼𝗿𝗺𝗲𝗱 𝗯𝘆 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗲. I’ve lived this first-hand on 𝐥𝐚𝐫𝐠𝐞-𝐬𝐜𝐚𝐥𝐞 𝐄𝐔 𝐢𝐧𝐢𝐭𝐢𝐚𝐭𝐢𝐯𝐞𝐬 𝐥𝐢𝐤𝐞 𝐭𝐡𝐞 𝐬𝐞𝐭𝐮𝐩 𝐨𝐟 𝐭𝐡𝐞 𝐂𝐨𝐦𝐦𝐨𝐧 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬 𝐨𝐟 𝐭𝐡𝐞 𝐎𝐧𝐜𝐞-𝐎𝐧𝐥𝐲 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐒𝐲𝐬𝐭𝐞𝐦, 𝐰𝐡𝐞𝐫𝐞 𝐰𝐞 𝐡𝐚𝐝 𝐭𝐨 𝐥𝐞𝐯𝐞𝐫𝐚𝐠𝐞 𝐭𝐡𝐞 𝐯𝐚𝐥𝐮𝐞 𝐟𝐫𝐨𝐦 𝐭𝐡𝐞 𝐂𝐥𝐨𝐮𝐝 𝐰𝐡𝐢𝐥𝐞 𝐬𝐭𝐢𝐥𝐥 𝐦𝐢𝐭𝐢𝐠𝐚𝐭𝐢𝐧𝐠 𝐢𝐭𝐬 𝐫𝐢𝐬𝐤𝐬. 𝐖𝐡𝐚𝐭 𝐈 𝐥𝐞𝐚𝐫𝐧𝐞𝐝? Start simple, but design for evolution. Think multi-cloud. Hybrid setups. Vendor-independent layers for observability and secrets management while going step-by-step. 𝐓𝐡𝐞 𝐚𝐫𝐭𝐢𝐜𝐥𝐞 𝐛𝐞𝐥𝐨𝐰 𝐩𝐫𝐨𝐯𝐢𝐝𝐞𝐬 𝐚 𝐥𝐨𝐭 𝐨𝐟 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐚𝐥 𝐢𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐚𝐛𝐨𝐮𝐭 𝐡𝐨𝐰 𝐭𝐨 𝐢𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭 𝐜𝐥𝐨𝐮𝐝 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐚𝐭 𝐬𝐜𝐚𝐥𝐞. 🔑 𝐁𝐢𝐠 𝐭𝐚𝐤𝐞𝐚𝐰𝐚𝐲: Europe builds digital leadership not just with policies, but by sharing practical implementation experiences and scaling what works across Member States.   𝐈𝐧𝐭𝐞𝐫𝐞𝐬𝐭𝐞𝐝 𝐭𝐨 𝐤𝐧𝐨𝐰 𝐦𝐨𝐫𝐞?   👉𝐅𝐮𝐥𝐥 𝐂𝐥𝐨𝐮𝐝 𝐉𝐨𝐮𝐫𝐧𝐞𝐲 𝐚𝐫𝐭𝐢𝐜𝐥𝐞 𝐡𝐞𝐫𝐞: https://lnkd.in/e7X4u8M7   👉 𝐌𝐨𝐫𝐞 𝐚𝐛𝐨𝐮𝐭 𝐭𝐡𝐞 𝐂𝐨𝐦𝐦𝐨𝐧 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬 𝐡𝐞𝐫𝐞: https://lnkd.in/eB9yvzhN    #Cloud | #OnceOnly | #DigitalTransformation | #BuildingBlocks