Gen AI is no longer a lab experiment. It’s showing up where your customers are. From retail floors to factory lines, from patient rooms to airport gates, the edge is where decisions happen, and where AI needs to prove its value. At frog, we believe the future of Gen AI is distributed. It’s contextual. It’s human-centered by design. The edge isn’t just a technical frontier. It’s a strategic one, where brands earn trust, deliver relevance, and create real-time experiences that adapt to people, not the other way around. In this piece, we explore what it takes to move Gen AI from the cloud to the customer - and why it matters now. Read the full article ➞ https://fro.gd/4nnx7M5 #GenerativeAI #CustomerExperience #DesignMind #MakeYourMark
How to move Gen AI from the cloud to the edge for better customer experiences
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Gen AI is no longer a lab experiment. It’s showing up where your customers are. From retail floors to factory lines, from patient rooms to airport gates, the edge is where decisions happen, and where AI needs to prove its value. At frog, we believe the future of Gen AI is distributed. It’s contextual. It’s human-centered by design. The edge isn’t just a technical frontier. It’s a strategic one, where brands earn trust, deliver relevance, and create real-time experiences that adapt to people, not the other way around. In this piece, we explore what it takes to move Gen AI from the cloud to the customer - and why it matters now. Read the full article ➞ https://fro.gd/4nnx7M5 #GenerativeAI #CustomerExperience #DesignMind #MakeYourMark Gagandeep Gadri Noemie Lauer Romain Dehaye Thierry Kok 葉俊廷 Justin L. Deng Zhi Tan Nikki Jacobs JoAnne S. Jerrica Ang Wong Eng Geng Clarissa Edeline Yu Ethan Low Ryan Mok Nada Khan Suratee Stephen Hewett Ed Bolton Sarah Hobday
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Hype ≠ Value As excitement around Generative AI hits a fever pitch, it’s worth remembering the classic hype indicators: 📈 Sky-high price/fundamentals ratios 🤯 Irrational exuberance 📢 Saturation in media and public attention 👥 A flood of new entrants 📊 Market sentiment We’ve seen this before, during the dot-com and housing bubbles, and even in the early days of cloud computing. In each case, real value emerged after the noise settled. Expectations are high that the same will likely hold true for AI. The most impactful applications won’t be the flashiest demos, but rather the quiet, integrated solutions that boost productivity, reduce costs, and align with business strategy, with clear ROI, governance, and sustainability. Let’s not confuse buzz with business value. #AI #GenerativeAI #DigitalTransformation #TechTrends #Leadership #Productivity #Innovation #eCornell #HypeCycle #Strategy
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🚀 Exciting times for AI innovation! Accenture and Google Cloud partner to launch Gemini Enterprise, transforming how organizations harness the power of agentic AI. With groundbreaking solutions tailored for industries, from enhancing customer experiences at JCOM to boosting personalization at Radisson Hotel Group, this alliance promises to drive significant business value. Dive into a future where AI innovation fuels long-term success and gain insights into these advancements. Explore more: [link] #AI #Innovation #BusinessTransformation
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We’ve all seen it: AI pilots shine in the lab, but stall when it’s time to scale. The problem isn’t the tech—it’s the economics. In manufacturing, milliseconds matter. Cloud-only AI often can’t deliver. That’s why the companies winning today take a hybrid approach: ⚡ Edge AI for real-time decisions ☁️ Cloud AI for non-urgent tasks The takeaway? Design for scale from day one—or risk getting stuck in “permanent pilot mode.” Read more: https://ow.ly/ig9n50WRsaF
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How AI is transforming business models, customer experiences and team dynamics in the experiential economy is explored by Tom Mason, Applied AI, Office of the CTO at Google Cloud. Examples include: 🔥 The rise of AI-native enterprises and the shift from search to answer generation 🔥 Hyper-personalization at scale, from a “segment of one” to a “moment of one” 🔥 Generative AI as a creative co-pilot for marketers and product owners There are so many great takeaways. What was your favorite? #Elevate25 #GoogleCloud #DigitaMarketing #MobileMarketing #AI #CustomerExperience #CX #CustomerEngagement #MarketingTips #MarketingEvents #TechEvents
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How AI is transforming business models, customer experiences and team dynamics in the experiential economy is explored by Tom Mason, Applied AI, Office of the CTO at Google Cloud. Examples include: 🔥 The rise of AI-native enterprises and the shift from search to answer generation 🔥 Hyper-personalization at scale, from a “segment of one” to a “moment of one” 🔥 Generative AI as a creative co-pilot for marketers and product owners There are so many great takeaways. What was your favorite? #Elevate25 #GoogleCloud #DigitaMarketing #MobileMarketing #AI #CustomerExperience #CX #CustomerEngagement #MarketingTips #MarketingEvents #TechEvents
Google Cloud's Tom Mason breaks down how AI is transforming business models and customer experiences
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Everyone keeps talking about the latest AI model releases, but we're solving the wrong problem. 42% of companies abandoned most AI initiatives in 2025, up from just 17% in 2024. MIT research reveals a 95% failure rate for AI pilots. The companies that succeed aren't the ones with the most sophisticated technology. They're the ones who understood workflow design first. It's an 80/20 equation: 80% workflow design, 20% AI technology. The failure patterns are consistent. Projects scoped around impressive features rather than solving real problems. Technology that works beautifully in demos but crumbles under actual business complexity. Consider Lumen Technologies' approach. They identified sales teams spending four hours researching customer backgrounds before calls—a $50 million annual pain point. Only then did they design Copilot integrations that compressed research time to 15 minutes. When you start with workflow analysis, different questions emerge. Instead of "How do we integrate this AI model?" you ask "Where do our people get stuck?" You can't bolt AI onto broken workflows and expect transformation. MIT's research reveals why generic tools are widely piloted but rarely move to production at scale. Without deep integration into existing systems, AI becomes a disconnected point solution. Here's what works: Before evaluating any AI technology, map how work flows through your organization. Identify bottlenecks where people wait, struggle, or perform repetitive tasks. Only then ask: "What AI capabilities would meaningfully improve these workflows?" Start every AI project with workflow analysis and redesign. Make technology decisions only after understanding the processes you're trying to improve. We do exactly this, starting with our Navigator assessment, a session designed to uncover what you to AI-ify to get the most bang for your buck. Learn more: https://lnkd.in/gSFN8sd4
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🚀 Dialpad: First in AI. Best in agentic 💥 Dialpad has burned the old CX playbook and are building a new one 💫 Dialpad’s strengths in AI come from an intense focus on the area, having developed its own AI system, DialpadGPT, that works across its suite of products. Equally, it has specific LLMs working across its platform that allow for more industry-specific work to be enabled. Read more about this below 👇 👇 👇 https://www.dialpad.com/ Josh Hegarty Mark Taylor Jack Stewart Annabel Lewington Olive Oldland Moses Senoga ✉ William Sandbach Zaxian Goode Raphael Poisson Floyd Cousins Charlene Patulot John Work Sid Farmiloe Tanhaz Kamaly #Agentic #AiAgent #ContactCenter #ElevateEveryConversation #Dialpad #GoogleCloud #Ai #CloudMarketplace #UCaaS #SaaS #CCaaS #SalesEnablement #ChannelPartners #TechSales #StrongerTogether #ChannelFirst #WholesaleAndReferral #CX #EX #LifeAtDialpad
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What if you could have a first-glance expert opinion on any piece in your collection, instantly? For centuries, the first step in understanding an object—identification—has been a slow, manual process. Today, we're changing that. I am incredibly excited to announce our newest feature at LEGACYspace.io: AI Identification! We've integrated advanced AI, powered by Google Cloud Vision, to give our users instant identification results. Simply upload an image of your art or collectible, and our AI will provide insights in seconds. This isn't about replacing the human expert; it's about empowering every collector with a powerful starting point for their research. It’s about making knowledge more accessible and the process of discovery faster and more exciting than ever before. This is the next step in building a smarter, more transparent future for the collectibles industry. #AI #ArtTech #Innovation #Collectibles #GoogleCloud #ComputerVision #LEGACYspace #ProductLaunch
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By 2026, Generative AI will be the new baseline, not the future. Is your business moving fast enough to keep up? 🔍 Find the answers in The State of SaaS in the Philippines. Download the report. https://hubs.li/Q03LFpFR0 #GreatEmployersUseSprout #SproutAt10
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