Innovations Enabled by Cloud Technology

A year has passed since I last visualized the cloud provider landscape, and the changes are striking.  While each provider's strengths remain consistent, several key trends have reshaped the ecosystem: • 𝗧𝗵𝗲 𝗠𝘂𝗹𝘁𝗶-𝗖𝗹𝗼𝘂𝗱 𝗣𝗮𝗿𝗮𝗱𝗶𝗴𝗺:  Organizations are increasingly moving away from single-provider reliance, adopting multi-cloud strategies to optimize spending, avoid vendor lock-in, and leverage best-in-breed services from various platforms. • 𝗚𝗿𝗲𝗲𝗻 𝗖𝗹𝗼𝘂𝗱 𝗜𝗻𝗶𝘁𝗶𝗮𝘁𝗶𝘃𝗲𝘀:  Sustainability is no longer optional.  Major cloud providers are doubling down on renewable energy and providing tools for customers to monitor and reduce their environmental impact. • 𝗔𝗜/𝗠𝗟 𝗗𝗲𝗺𝗼𝗰𝗿𝗮𝘁𝗶𝘇𝗮𝘁𝗶𝗼𝗻:  The accessibility of artificial intelligence and machine learning has exploded.  Providers are offering increasingly user-friendly tools, empowering businesses of all sizes to harness the power of AI. • 𝗘𝗱𝗴𝗲 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴'𝘀 𝗥𝗶𝘀𝗲:  Edge computing is transforming industries. Platforms like Azure Arc, AWS Outposts, and Google Anthos are evolving rapidly, enabling innovation in areas like IoT and real-time data processing. • 𝗦𝗲𝗿𝘃𝗲𝗿𝗹𝗲𝘀𝘀 𝗘𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻: Serverless computing continues its ascent, abstracting away infrastructure complexities and allowing developers to focus on code.  Recent advancements have focused on improved tooling and broader functionality. • 𝗧𝗵𝗲 𝗥𝗲𝗽𝗮𝘁𝗿𝗶𝗮𝘁𝗶𝗼𝗻 𝗧𝗿𝗲𝗻𝗱: Interestingly, alongside cloud adoption, some companies are also exploring "reverse cloud," moving certain workloads back on-premise.  This often reflects a focus on cost optimization for specific applications or data governance requirements. The ideal cloud solution remains dependent on individual business requirements.  Regularly evaluating your cloud strategy is essential to ensure it aligns with your evolving needs. What significant shifts have you noticed in the cloud landscape lately? I'm interested in hearing your insights.

🚀 How AI & Cloud Innovation Are Transforming Enterprise IT – Lessons from Leading IT two large companies In my 25+ years as a CIO and technology leader, I’ve seen IT evolve from a cost center to a business growth enabler. Today, AI and cloud innovation are driving the next major shift in how enterprises operate. At past organizations, I had the opportunity to: ✅ Optimize a multi-cloud infrastructure across AWS, Azure, and GCP, supporting 600+ cloud accounts and 7,000+ VMs ✅ Implement GenAI-driven automation, boosting developer productivity by +20% and internal productivity by another +20% ✅ Deploy AI-powered cybersecurity strategies, strengthening risk management and cyber resilience 💡 Key Takeaways for IT Leaders: 🔹 AI isn’t just hype—it’s already streamlining development, cybersecurity, user productivity, and enterprise automation 🔹 Good data matters when you begin your AI enablement journey. Remember bad data in = bad data out 🔹 A hybrid cloud strategy is crucial for scaling IT while maintaining cost control & agility 🔹 IT should be a strategic enabler—not just a support function. The right tech investments drive business growth As IT leaders, we need to think beyond technology—it’s about business impact, efficiency, and innovation. 📢 What AI & cloud innovations are you seeing in your industry? Let’s discuss! #DigitalTransformation #AI #CloudComputing #CyberSecurity #EnterpriseIT #CIOLeadership

𝗨𝗻𝗹𝗼𝗰𝗸𝗶𝗻𝗴 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 𝗶𝗻 𝗖𝗵𝗶𝗽 𝗗𝗲𝘀𝗶𝗴𝗻: 𝗖𝗹𝗼𝘂𝗱-𝗕𝗮𝘀𝗲𝗱 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗣𝗿𝗼𝘁𝗼𝘁𝘆𝗽𝗲𝘀 𝗮𝗻𝗱 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲-𝗗𝗲𝗳𝗶𝗻𝗲𝗱 𝗩𝗲𝗵𝗶𝗰𝗹𝗲𝘀     The automotive industry is undergoing a seismic shift, driven by the rise of software-defined vehicles (SDVs) and the need for faster, more efficient chip design. At Synopsys Inc, we're at the forefront of this transformation, leveraging cloud-based virtual prototypes to accelerate development cycles.   In our latest blog authored by Gunnar Braun and Stewart W., we explore how cloud technology is revolutionizing chip design for SDVs, enabling:   - Early software development before hardware is available - Scalable and flexible collaboration across global teams - Faster time-to-market with reduced costs   As vehicles become increasingly software-centric, the ability to innovate quickly and efficiently is more critical than ever. Cloud-based virtual prototypes are empowering engineers to meet these challenges head-on, ensuring the future of mobility is smarter, safer, and more connected.   Read the full blog to learn how Synopsys is driving the future of chip design: https://lnkd.in/eD7VKJZM

How cloud computing is driving the growth of AI on smartphones - Express Computer “The Role of Cloud Computing in AI Evolution Cloud computing enables smartphones to offload heavy AI computations to powerful servers, reducing device burden, speeding up data processing, and ensuring real-time performance. It drives AI growth by: Real-Time Processing: Cloud platforms handle vast data instantly, powering virtual assistants like Copilot for accurate responses. Enhanced Personalisation: AI adapts to user behavior, delivering tailored experiences through cloud-stored insights. Seamless Updates: Developers update AI models via the cloud, ensuring smartphones stay advanced without requiring hardware upgrades.” https://lnkd.in/efX7-nSQ

As a Google Cloud AI/ML expert, I'm often asked about the real-world impact of AI on enterprises. Here are four standout examples of companies leveraging Google Cloud AI to drive innovation and efficiency: 1️⃣ 🎥 Canva Tool: Vertex AI Impact: Users can now create engaging videos in seconds with Magic Design for Video 2️⃣ 👟 Puma Tool: Imagen Impact: Puma has seen a 10% increase in click-through rate for PUMA India with localized product photos 3️⃣ 🏎️ McLaren Racing Tool: Google AI Impact: Millisecond-precise insights for strategic race decisions. 4️⃣ 💻 Replit Tool: Google Cloud infrastructure Impact: Enhanced AI capabilities for software developers via Ghostwriter assistant These examples showcase how AI is delivering tangible business value across industries. But they're just the beginning – we've documented 183 more use cases! 🔍 Curious about how AI can transform your business? Let's explore the possibilities together. Drop a comment or DM me to start the conversation. #GoogleCloudAI #BusinessInnovation #AITransformation #TechTrends

🚀 Accelerating Healthcare Innovation: How Cloud Computing Fuels GenAI Strategies    🌟 I am thrilled to highlight a great piece from my Deloitte colleagues on the ways that healthcare organizations can turbocharge their GenAI agenda with Cloud, from Dr. Bill Fera, Dr. Matthew Crowson, MD, MPA, MASc, MBI, and Sahithi Bayana: https://deloi.tt/3S8ujp6. They provide a great overview of the tradeoffs that leading healthcare organizations are making to scale enterprise-ready AI - from capital, to security, to scalability. These hold true with a number of observations in the healthcare market:   🏥 The Current State of Computing: Healthcare is still using predominantly on-premise computing infrastructure. And this is not without excuse: data security and privacy is paramount with sensitive healthcare records, and we know that 37% of healthcare organizations don't have a cyberattack contingency plan in place, let alone the capabilities: https://lnkd.in/gTg4m4m3.   💸 Financial & Operational Considerations: However, the sheer CapEx required to make on-premise work for GenAI applications is a crucial consideration. Most healthcare organizations lack the access and capital for high-performance hardware optimized for AI workloads; they lack the distributed computing frameworks; and they aren't resourced to meet the variable dynamic workloads. For providers, "40% of hospitals in the United States are losing money" - squeezing technology budgets, and limiting potential to DIY on infrastructure. https://lnkd.in/efigDsye.   🌐 The Role of Cloud & Hybrid: This topic provides an excellent view into why Cloud can help to accelerate GenAI ambitions. Cloud can offer a scalable and cost-effective solution to handle complex data and computational demands, with hybrid models providing a balance of security, control, and continuity. These massive datasets required to train and continually operate GenAI solutions are a key factor: spanning genomics, patient records, and medical imaging archives.   #HealthcareInnovation #GenAI #CloudComputing #DigitalTransformation #AIinHealthcare #HealthTech #Cybersecurity #FutureOfHealth   Michael McCallen, Gopal Srinivasan, Rohan Gupta, Christopher Goodman, Kashif Rahamatullah, Nicola Johnson, James R. Bush, Kumar Chebrolu, Michael Black, Adarsh Gosu, Neal Batra, Julie Landmesser, Melissa Williams, Nicole Jupe, Emma Antoine, MHA, Joshua Morgan, Emma Lichtenstein

𝐅𝐫𝐨𝐦 𝐆𝐞𝐧𝐀𝐈 𝐭𝐨 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐂𝐥𝐨𝐮𝐝𝐬: 𝐆𝐚𝐫𝐭𝐧𝐞𝐫 𝐑𝐞𝐯𝐞𝐚𝐥𝐬 𝐭𝐡𝐞 𝐅𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 The pace of technological disruption is accelerating, and Gartner’s latest research spotlights the 12 early-stage technologies set to redefine business systems over the next five years. For leaders and innovators, understanding these trends is critical to gaining a first-mover advantage and driving competitive differentiation. 𝐊𝐞𝐲 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬 𝐟𝐫𝐨𝐦 𝐆𝐚𝐫𝐭𝐧𝐞𝐫’𝐬 𝟐𝟎𝟐𝟓 𝐄𝐚𝐫𝐥𝐲-𝐒𝐭𝐚𝐠𝐞 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐃𝐢𝐬𝐫𝐮𝐩𝐭𝐢𝐨𝐧𝐬 #Gartner emphasizes that these technologies are not just buzzwords—they are transformative forces that will soon become standard across industries. Here’s what stands out:  👉𝐆𝐞𝐧𝐀𝐈-𝐄𝐧𝐚𝐛𝐥𝐞𝐝 𝐂𝐨𝐝𝐞 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 ▪Will empower dynamic, composable applications. ▪GenAI solutions using free-form text and multimedia inputs/outputs are expected to displace conventional user interfaces, unlocking new enterprise scenarios.  👉𝐃𝐢𝐬𝐢𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 ▪As AI-generated content proliferates, new security frameworks will be essential to combat misinformation and protect data integrity.  👉𝐄𝐚𝐫𝐭𝐡 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 ▪Leveraging advanced analytics and AI to provide deeper insights into environmental and geospatial data, supporting sustainability and risk management.  👉I𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐂𝐥𝐨𝐮𝐝 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 ▪By 2027, 𝟕𝟎% of enterprises are expected to adopt industry-specific cloud solutions, enabling tailored digital transformation and operational efficiency.  👉𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 ▪Autonomous AI systems will plan and execute tasks to meet user-defined goals. ▪By 2028, Gartner predicts at least 𝟏𝟓% of day-to-day work decisions will be made autonomously by agentic AI, up from 𝟎% in 2024.  👉𝐒𝐭𝐚𝐭𝐬 & 𝐌𝐚𝐫𝐤𝐞𝐭 𝐈𝐦𝐩𝐚𝐜𝐭 ▪𝐏𝐮𝐛𝐥𝐢𝐜 𝐂𝐥𝐨𝐮𝐝 𝐒𝐩𝐞𝐧𝐝: Projected to reach $𝟔𝟕𝟖.𝟖 billion in 2026, up 𝟐𝟎.𝟒% year over year, driven largely by generative AI adoption. ▪𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐂𝐥𝐨𝐮𝐝 𝐀𝐝𝐨𝐩𝐭𝐢𝐨𝐧: 𝟕𝟎% of enterprises will leverage industry cloud platforms by 2027. ▪𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 𝐈𝐦𝐩𝐚𝐜𝐭: 𝟏𝟓% of daily work decisions to be made autonomously by 2028. These early-stage technologies represent a new era of innovation, blending AI, cloud, and security to create smarter, more adaptive business systems. The time to act is now—organizations that embrace these trends will shape the future and set the pace for their industries. 𝐒𝐨𝐮𝐫𝐜𝐞: https://lnkd.in/gtBW5NdD #AI #DigitalTransformation #GenerativeAI #GenAI #Innovation  #ArtificialIntelligence #ML #ThoughtLeadership #NiteshRastogiInsights