Empowering the Next Wave of AI and Cloud Innovation Mr. Sundaresan Kanappan, VP and Country GM – India & ANZ at Tech Data APAC, outlines how cloud, AI, and automation are driving transformation across industries. Through initiatives like Destination AI, Tech Data is helping partners adopt, scale, and monetize AI use cases efficiently. Read the full insight here: https://lnkd.in/gnh9PR6h #TechData #Leadership #AI #Cloud #Automation #DigitalTransformation #Innovation #ChannelPartners

The stakes are rising. AI can only deliver at scale if organisations rethink how they operate. The real challenge is not running pilots or testing tools. It is redesigning the operating model so AI is embedded across the enterprise, creating lasting impact. We have seen this story before with cloud, RPA and and the early days of digital transformation. Technology alone delivers quick wins, but lasting advantage comes when organisations redefine how decisions are made, how governance operates and how data is structured and owned. Read our latest whitepaper to explore why the choices leaders make now will shape their trajectory for years to come, the dangers of moving too fast or too slow and how to create clarity, alignment and enterprise-wide momentum. 🔗Read Now: https://lnkd.in/ezUJkPYb #FutureReady #AI #AgenticAI #OperatingModel #Innovation

The New KPI: Cost per Query in the Cloud Era Every AI query processed in the public cloud has a tangible cost, but the real expense is often hidden in data movement, vendor lock-in, and inefficient resource allocation. As enterprises scale their AI initiatives, the traditional cloud cost model becomes a significant barrier to innovation and profitability. The conversation is shifting from mere capability to operational efficiency. It is no longer just about what your AI can do, but what it costs to do it at scale. This is where the true competitive advantage is forged. Scalytics redefines this paradigm. Our platform delivers private AI for a streaming world, built on a foundation of open source to eliminate vendor lock-in. We enable you to deploy AI securely on your data, across any cloud or on-premises environment. The result is a dramatically reduced cost per query, giving you financial predictability and architectural freedom. Key drivers for reducing your AI operational costs: - Deploy models where your data lives, minimizing expensive data egress. - Leverage a diverse model library

AWS, the cloud pioneer, is showing cracks as rivals accelerate AI partnerships and streamline offerings. Perceived bloat and lagging AI innovation are giving competitors an edge. This shift highlights the need for agility and strategic AI focus in SaaS. Professional insight: In AI-driven markets, rapid model integration and seamless UX separate leaders from laggards; balancing platform scope with targeted AI investments is crucial. How will legacy cloud leaders reinvent their platforms to reclaim the AI innovation crown? #AI #SaaS #Innovation #DigitalTransformation #CloudComputing #TechLeadership #BusinessGrowth

Cloud + AI: The Power Duo Transforming 2025 The fusion of Cloud Computing and Artificial Intelligence is changing how technology works at every level — from business operations to everyday digital experiences. Why they work so well together: • Cloud provides scalability, flexibility, and compute power. • AI turns that data and power into intelligence and automation. Together, they enable smarter systems, predictive decisions, and innovation at scale. What’s Next The future belongs to systems that combine cloud scalability with AI intelligence. Expect smarter cloud-native apps, real-time learning models, and more focus on AI Ops and data governance. The next wave of innovation isn’t just powered by Cloud or AI — it’s powered by Cloud + AI together. #CloudComputing #ArtificialIntelligence #AI #Cloud #DigitalTransformation #Innovation #FutureOfTech

𝗔𝗜 𝗷𝘂𝘀𝘁 𝗴𝗼𝘁 𝗮 𝘀𝗶𝗴𝗻𝗶𝗳𝗶𝗰𝗮𝗻𝘁 𝗯𝗼𝗼𝘀𝘁 𝗶𝗻 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗮𝗱𝗼𝗽𝘁𝗶𝗼𝗻 Leading cloud providers, including Microsoft and Google, have announced new initiatives to integrate advanced AI models directly into their enterprise-grade cloud services, making cutting-edge AI more accessible to businesses of all sizes. Why this matters? It removes significant barriers to entry for companies wanting to leverage AI but lacking the internal infrastructure or expertise. This move could accelerate AI adoption across various industries, leading to enhanced automation, more intelligent data analysis, and personalized customer experiences. Small to medium-sized businesses, in particular, can now tap into powerful AI capabilities that were once exclusive to tech giants. Investors might see increased opportunities in companies providing AI-powered solutions or those poised to benefit from heightened AI integration. The democratization of AI through cloud infrastructure is rapidly transforming it from a specialized tool to a ubiquitous utility for enterprise innovation. How do you foresee these new cloud AI integrations changing your industry in the next 1-2 years? #AI #EnterpriseAI #CloudComputing #TechNews #DigitalTransformation #Innovation #MachineLearning #BusinessTech

👩🏽💻 𝗔𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗲 𝗔𝗜 𝘄𝗶𝘁𝗵 𝗔𝗴𝗲𝗻𝘁𝘀: 𝗘𝘃𝗲𝗻𝘁 𝗦𝗲𝗿𝗶𝗲𝘀 𝗳𝗼𝗿 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿𝘀 𝗶𝗻 𝗘𝗠𝗘𝗔 👩🏽💻 ➡️ Google Cloud is launching an EMEA-wide event series to help developers build, scale, and adopt AI agents. 🚀 What’s new: • Live hands-on labs across multiple EMEA cities focused on AI agents, cloud, and tooling. • Deep dives featuring Vertex AI, Gemini models, ADK, Cloud Run, and more. • Step-by-step guidance on how to build agentic workflows and integrate them into your stack. • Networking opportunities with peers, domain experts, and Google Cloud engineers. 💡 Why it matters Event series like this lower the barrier for developers and teams to enter the “agentic era” of AI. You get access to curated labs, expert mentorship, and a peer network — all of which help accelerate real adoption instead of just experimentation. 🔗 Read the full blog here: https://lnkd.in/dD5zSCwT Which city would you attend — or would you prefer a virtual option if available? 😎 #GoogleCloud #AI #Agents #DeveloperEvents #VertexAI #MachineLearning #Innovation

☁️ The Cloud: Powering the AI Revolution 🤖 In today’s AI-driven world, the cloud isn’t just a storage solution—it’s the backbone of innovation. From training large-scale machine learning models to deploying intelligent applications globally, cloud platforms provide the scalability, speed, and flexibility that AI demands. Without the cloud, AI research would be slower, collaboration would be harder, and deploying solutions at scale would be nearly impossible. It enables organizations to leverage massive computational resources on demand, run experiments efficiently, and turn AI ideas into reality faster than ever. As AI continues to transform industries, embracing cloud technologies isn’t optional—it’s essential. 💡 How is your organization leveraging cloud for AI? Let’s share insights! #AI #CloudComputing #MachineLearning #Innovation #FutureOfWork #TechTrends

💡 The Real Power of AI in Cloud Strategy Modern businesses aren’t just moving to the cloud — they’re making it intelligent. By integrating AI into cloud ecosystems, companies are transforming data centers into decision centers. AI-driven analytics in the cloud helps predict system failures, automate resource allocation, and enhance security — all while optimizing costs. This synergy ensures operations are not only faster but also smarter. The future belongs to businesses that combine scalability of the cloud with intelligence of AI — not just to store data, but to understand it. #AI #CloudComputing #DigitalTransformation #TechLeadership #FutureOfWork ---Good catch, Suresh 👍 — here’s your LinkedIn post for today (October 25), right on time for your 10 AM IST alert. --- 💡 The Real Power of AI in Cloud Strategy Modern businesses aren’t just moving to the cloud — they’re making it intelligent. By integrating AI into cloud ecosystems, companies are transforming data centers into decision centers. AI-driven analytics in the cloud helps predict system failures, automate resource allocation, and enhance security — all while optimizing costs. This synergy ensures operations are not only faster but also smarter. The future belongs to businesses that combine scalability of the cloud with intelligence of AI — not just to store data, but to understand it. #AI #CloudComputing #DigitalTransformation #TechLeadership #FutureOfWork

Enterprises are entering a new phase of AI adoption, moving from basic automation to intelligent, agentic systems that can reason, plan, and act alongside humans. In partnership with Google Cloud, The Futurum Group explores how organizations can establish the core foundations for agentic platforms by focusing on data grounding, integration, governance, and scalability to build secure, high-performing AI workforces. At the center of this transformation is Gemini Enterprise, designed to accelerate enterprise adoption of agentic AI with advanced models, pre-built connectors, and enterprise-grade governance that enable real-world impact across customer service, IT operations, and beyond. 📄 Discover how enterprises are building secure and scalable agentic AI platforms: https://lnkd.in/dwPiVFS9 #AI #AgenticAI #GoogleCloud #EnterpriseAI #Futurum