Jarun Ngamvirojcharoen

Just wrapped up two weeks exploring some of China's major cities 🇨🇳 - here are my key observations on their technology landscape from a consumer perspective: 📱 Mobile-first everything: WeChat dominates with thousands of mini-apps covering virtually every daily need. Combined with Alipay, Didi, Amap, Taobao, and Douyin, you rarely need to leave these ecosystems. Mobile payments are seamless and universal. 🚦 IoT integration: Small example that impressed me - WeChat Navigation shows real-time traffic light countdowns. This level of urban data integration is remarkable. ⚡ Electric transformation: Every scooter in major cities runs electric - millions of them with zero combustion engines visible. Dozens of Chinese EV brands are proliferating, some quite sophisticated (check the Xiaomi SU7 Max I spotted). 🤖 AI-powered efficiency: Image processing and scanning infrastructure is everywhere. Passport scans, QR payments, and biometric processing happen instantly with zero wait times - though this creates comprehensive location tracking, and it is pretty clear where everybody is... The technological progress over the past five years is genuinely impressive. 🚀 If you've visited China recently, I'd be curious to hear your observations on how the tech landscape has evolved. #China #Technology #AI #ElectricVehicles #MobilePayments #WeChat #Innovation #DigitalTransformation #IoT #TechTrends #ConsumerTech

382

21 ความคิดเห็น

How AI-powered service robots will replace frontline workers? Professor Jochen Wirtz is Vice Dean of MBA Programmes and Professor of Marketing at NUS Business School and visited Asia School of Business to speak about “GenAI Meets Service Robots: The Promise of LLMs, LBMs & Agentic AI in the Service Sector.” I’m sharing my notes, as unfortunately it was a very exclusive event and a few people could attend. Professor Wirtz’s research focuses on service robots enhanced by generative AI, large language models, large behavioural models, and agentic AI. These multipurpose robots can learn, adapt, and personalize interactions, for example, tailoring food to Professor Michael Frese's culinary preferences, improving interactions in hospitals, solving customers problems, or opening more sections of ASB parking when capacity is reached without requiring human authorization. Their versatility will also serve the "long tail" of unique human needs that cannot be met by human workers in an industrialized world. Training these service robots will not require technical expertise, anyone can do it. Trainers will eventually be replaced by their trainees, and the robots themselves will also help train humans. The impact on societies will be significant: by 2030, there may be one robot for every eleven humans. Many service jobs will be replaced, labor shortages in some sectors (such as IT) will be eased, while unemployment in others will increase. Robots with perfect memory and access to vast knowledge create new risks and responsibilities that must be addressed: ethics, fairness, privacy, health, and safety. Professor Wirtz’s webpage and research will be listed in the first comment.

44

8 ความคิดเห็น

Earlier this month, Vikram and I had the privilege of joining the Singapore Executive Summit hosted by OpenAI What stood out in every discussion: AI has not peaked, not even close. The breakthroughs we see today are just the beginning. In the coming weeks, months, and years, AI will unlock capabilities that will fundamentally re-architect how enterprises operate. A successful enterprise AI charter should be built on 3 core principles: - Don’t wait for certainty. By then, it’s too late. - Hyper-experimentation wins. - If AI doesn’t solve a problem today, it doesn’t mean it won’t tomorrow. It just means you’re early. The question for leaders is no longer if AI will reshape their business, but how fast they can become AI-first. At CARS24 we have chosen to lead.

89

3 ความคิดเห็น