The old channel playbook? Time to rewrite it. In this episode of The AI Vantage, we explore how Google Cloud is using generative AI to transform the partner ecosystem from the inside out. Discover how we're making it easier for Google Cloud Partners to scale AI, boost operational efficiency with tools like the SOW Analyzer, and pivot from simple proof-of-concepts to real, measurable customer impact → https://goo.gle/4vEnfT7
Google Cloud Partners AI Transformation with Generative AI
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Open-weight LLM models are making HUGE gains. It's great to see and helps provide a more viable privacy-first pathway. ⚡️
Remember when DeepSeek-R1 changed the conversation around open-weight models? GLM-5.2 is sparking that same excitement, raising the bar for open-weight models! 🚀 In this blog, we explore what’s driving the resurgence of local AI, how open-weight models are closing the gap, and what it means for the future of AI beyond the cloud. 🔒💻 Read more: https://lnkd.in/g-s3r_ZM 👀
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Remember when DeepSeek-R1 changed the conversation around open-weight models? GLM-5.2 is sparking that same excitement, raising the bar for open-weight models! 🚀 In this blog, we explore what’s driving the resurgence of local AI, how open-weight models are closing the gap, and what it means for the future of AI beyond the cloud. 🔒💻 Read more: https://lnkd.in/g-s3r_ZM 👀
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"If you truly want to own your AI, you can't use the hyperscalers. AI in the cloud is aligned to them. If you truly want to own your AI, you must bring an open-weight model to your private data hosted locally, fine-tune it there, and never ping a 3rd party API." Tyler Xuan Saltsman Did you miss the panel from Second Front #OFFSET26? Watch the full conversation below ⬇️ https://lnkd.in/gv8QsqqX
AI For Decision Advantage | Offset Symposium 2026
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In an AI-first world, the old rules of the channel no longer apply. 🚀 This week on The AI Vantage, Google Cloud's Lakshmi Saranath joins Salim Hasham to discuss how AI is leveling the playing field for every partner, everywhere. Discover how Google is "drinking its own champagne" by using generative AI to transform its own partner ecosystem, slashing operational inefficiencies, and driving real-world impact. 👉 https://lnkd.in/e2FC-Nua
Symmetric Success: Co-Designing the Future of AI with our Partner Ecosystem (with Lakshmi Saranath)
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Three key factors shape successful AI scaling: what causes initiatives to advance or stall, how to design for adoption rather than just capability, and how to ensure data readiness without slowing progress. Read insights about AI-driven innovation derived from experimentation workflow reinvention at scale. What questions do you have about scaling AI effectively?
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Three key factors shape successful AI scaling: what causes initiatives to advance or stall, how to design for adoption rather than just capability, and how to ensure data readiness without slowing progress. Read insights about AI-driven innovation derived from experimentation workflow reinvention at scale. What questions do you have about scaling AI effectively?
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Three key factors shape successful AI scaling: what causes initiatives to advance or stall, how to design for adoption rather than just capability, and how to ensure data readiness without slowing progress. Read insights about AI-driven innovation derived from experimentation workflow reinvention at scale. What questions do you have about scaling AI effectively?
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Here's clear, concise guidance to help you securely develop and deploy AI apps, distilled directly from Mandiant’s hands-on red team experiences in this new Google Cloud Blog post titled "5 lessons from red teaming AI applications".
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About 21 min into the video, Amir is talking about our Scalable AI Solutions. The rest of the video is of course super interesting also, so watch all of it to learn about the best AI accelerator solution available! Here is a direct link: https://lnkd.in/gJ_VQrHw and for the full video, see here: https://lnkd.in/gnk8tFNv
Founder | EdgeAI | Global Business Development & Sales in Semiconductors | AI Acceleration | Design Services | Engineering Automation | SoMs & SBCs - Design and Development | Exit N1
If you missed my presentation at Hardware Pioneers Max 2026 in London, you can now watch it online. 🎤 "Reimagining Edge AI with DEEPX – Compact, Powerful, Efficient" What if you could run powerful AI anywhere without relying on the cloud or consuming excessive power? https://lnkd.in/gt9gVRe7
Reimagining Edge AI with DEEPX Compact, Powerful, Efficient
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What fuels the success of AI initiatives? It's all about three key factors: identifying what sparks momentum or causes stalls, prioritizing design that encourages adoption rather than just showcasing capability, and ensuring data is always ready to keep things moving fast. Dive into insights on how large-scale workflow experimentation is driving AI innovation. What do you think is the biggest challenge in scaling AI?
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The shift from proof-of-concepts to measurable customer impact is an important point. Many organizations are moving beyond experimentation with generative AI and focusing on how these tools fit into real operational workflows. The SOW Analyzer example is interesting because it shows a practical application of AI improving a specific business process rather than just showcasing the technology. How are partners measuring the biggest differences between early AI pilots and successful scaled implementations?