“In the era of Agentic AI, we start at the line of business." Samrah Khan, Director, Strategic Services Partnerships at Google Cloud, explains how Gemini Enterprise is helping organizations reimagine workflows and accelerate outcomes. Watch the full conversation to hear why starting with outcomes is key to accelerating value with AI: https://lnkd.in/dyGMsGkM #GeminiEnterprise #AgenticAI #GoogleCloudPartner #AITransformation
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AI doesn't solve misalignment. It amplifies it. That's why the SPM Virtual Summit 2026 focused on more than AI itself. Presented by ValueOps® by Broadcom and Google Cloud, the sessions explore how organizations can govern, align, and deliver on AI at scale. Hear practical insights from leaders at Google Cloud, UCSF, Cox Automotive, GigaOm, and Broadcom. Watch on demand: https://dy.si/b6kd1N2
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Cloud, AI, and growth usually live in three different vendor relationships, three timelines, three sets of priorities that don't talk to each other. We run all three under one roof. One team, one strategy, no handoffs between departments that don't share context. #DigitalTransformation #CloudConsulting #AIStrategy #GrowthStrategy #IntegratedConsulting #TechConsulting #centosdigital
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AI is changing more than applications. It's changing the way enterprises think about the cloud itself. The conversation is no longer just about choosing the right cloud provider. It's about understanding what each AI workload truly needs to perform securely, efficiently, and at scale. In this post, we explore why leading enterprises are moving toward a workload-first approach and how that shift is influencing the future of AI infrastructure. Visit www.innocito.com to learn more about us. #Innocito #InnovateWithInnocito #EnterpriseAI #CloudComputing #ArtificialIntelligence #CloudStrategy #DigitalTransformation #EnterpriseArchitecture #Innovation #InnocitoInsights
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Many organizations are moving fast on AI, but few are truly ready for it. What often gets missed isn’t the model. It’s the data foundation underneath it. In this new guide, Amit Saha, Head of Cloud Planning, shares how leading enterprises are approaching data strategy to support AI at scale. 📖 Download the guide: https://lnkd.in/gPs5adu5 💬 Connect with our team: https://lnkd.in/gR3BxgGg
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HannaH, MonoM's specialized agentic AI powered by Google Cloud, provides engineers at the plant with very precise, expert, contextualised answers that are ready to implement immediately. Actionable intelligence, in natural language, from day one‼️ #IndustrialAI #AgenticOperations #PredictiveMaintenance
Your cloud infrastructure holds the power, but does your AI actually understand your plant? True digital transformation isn't about collecting more data; it's about giving that data the right industrial context. Together with Google Cloud, monom Agentic Operations is closing the gap between raw cloud scale and real-world operations, enabling leaders to make confident, strategic decisions without the guesswork. Ready to see how monom Agentic Operations brings clarity to your plant's data? Book a personalized demo here: https://monom.ai/en/demo/ A conversation with Yago Sanchez and Google Cloud. #IndustrialAI #GoogleCloud #AgenticOperations #PredictiveMaintenance #DigitalTransformation
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Cloud AI projects can start small — then datasets grow, experiments multiply and usage rises. Before long, costs can scale faster than you expect. ThinkStation PGX gives you a predictable, local foundation for validating models and workflows before you commit to larger cloud spend. Discover how to build a more predictable AI foundation. https://lnkd.in/d9FF-XMT #CostControl #EnterpriseAI #AIInfrastructure
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🧠 Cloud ready. Data ready. Budget approved. Generative AI platforms still stall before they scale past one team. Map where the real bottleneck sits, and it isn't the technology. 📊 #AIAdoption #EnterpriseAI https://bit.ly/4xb8SWI
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Are your cloud AI experiments starting small but getting harder to predict as they grow? As datasets expand and usage multiplies, costs can rise faster than expected. ThinkStation PGX provides a local, predictable foundation for validating AI workloads before you commit further to the cloud. Using a stable on-premises base helps you understand performance and cost implications early on, so you can plan confidently. Want to learn how Exi-Go Business IT Solutions can help you build a more predictable AI foundation? https://lnkd.in/dpUGnXZ4 #Exi-Go #CostControl #EnterpriseAI #AIInfrastructure
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There’s a lot of attention on AI right now, but not enough conversation around what it actually takes to support it behind the scenes. Flexential does a good job breaking down the operational challenges organizations are running into as AI adoption grows and what needs to be considered before scaling further. Learn more here: https://lnkd.in/eHrNypqr #FlexAnywhere #Cloud #Colocation #Infrastructure #Interconnection
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The biggest advantage in AI isn't the model. It's time-to-foundation. Every month spent stitching together ingestion, transformation, governance and activation is another month AI isn't creating business value. LakeStack compresses that timeline by shipping the foundation already engineered. Your cloud. Your data. Your governance ✅ Less time building infrastructure. More time building what the business actually needs. Explore LakeStack: https://www.lakestack.com/
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Objectives-Based-Computing. Start with the objective. Don't assume tools or process. Let the machine determine which tools are necessary, data sets, and rebuild a process, operate the tools, deliver the outcomes. Used to be, you had to know the capabilities, be able to assess best fit, and operate the tools required, before you could start building.