Weblog with daily updates of the news on a frugal, fair and beautiful China, from the perspective of internet entrepreneur, new media advisor and president of the China Speakers Bureau Fons Tuinstra
E-commerce expert Sharon Gai explains how AI is helping her industry transform challenges into opportunities, speaking at Mike Allton’s podcast on strategic marketing with AI. Gai has extensive experience in China and uses her insights to help e-commerce stay competitive in a fast-changing industry.
Job displacement is a significant concern with AI advancements.
Regulation is crucial to ensure technology is used ethically.
Humanoid robots will become integrated into daily life.
AI may develop a form of consciousness over time.
Education will evolve to be more individualized and multimodal.
The future of governance may involve AI leadership.
As technology advances, we must focus on ethical considerations
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Former Alibaba executive Sharon Gai explains how AI is changing the retail industry beyond recognition. Amazon was the pioneer in this field, although now nobody can ignore the change AI is causing globally.
Retail sees a fast-moving playing field, as data analysis, AI, AR, and an ongoing integration of online and offline developments. Hong Kong-based marketing expert Ashley Dudarenok dives into the future of retail at her updated website.
Ashley Dudarenok:
What is the future of retail and how is it evolving?
The future of retail is evolving towards a more integrated and personalized experience driven by advancements in technology like AI and omnichannel strategies.
What sets the Chinese market apart in the future of retail compared to others?
China’s retail market stands out due to its rapid adoption of innovative technologies like AI, mobile payments, and livestream shopping. This market’s agility in integrating these advancements has transformed consumer experiences, driving significant growth and setting new trends globally in the future of retail.
What can others learn from the future of retail in China?
Observing China’s effective integration of omnichannel strategies and innovative marketing techniques such as livestream shopping provides insights into adapting retail models to meet evolving consumer demands and preferences worldwide in the future of retail.
What trends are shaping the future of retail?
Key trends in the future of retail include the rise of omnichannel retail, AI and automation integration, personalized customer experiences, and the growth of e-commerce.
How is AI impacting the future of retail?
AI is enhancing the future of retail through predictive analytics, personalized recommendations, inventory management optimization, and customer service automation.
How leveraging data analytics help the future of retail?
Retailers use data analytics to understand consumer behavior, optimize pricing strategies, personalize marketing campaigns, and forecast demand, improving overall business performance in the future of retail.
What are the challenges facing brick-and-mortar retailers in the future of retail?
Retailers use data analytics to understand consumer behavior, optimize pricing strategies, personalize marketing campaigns, and forecast demand, improving overall business performance in the future of retail.
What are the emerging technologies transforming the future of retail?
Emerging technologies like augmented reality (AR) for virtual try-ons, the Internet of Things (IoT) for smart inventory management, and blockchain for supply chain transparency are revolutionizing operations in the future of retail.
What impact does globalization have on the future of retail?
Globalization expands market reach for retailers, influencing product diversity, international logistics, and cross-border e-commerce, shaping retail strategies worldwide in the future of retail.
How is consumer behavior evolving in the future of retail?
Consumers today prioritize convenience, personalized experiences, and ethical considerations, influencing how retailers innovate and adapt their strategies to meet evolving expectations in the future of retail.
While the controversy between China and the US is heating up, and almost every country tries to invest in their own AI, Alvin Wang Graylin, co-author of Our Next Reality: Preparing for the AI-powered Metaverse, pleads for a global approach to developing the new industrial revolution, he tells in an interview wat WISE on Air with Elyas Felfoul.
China’s developers have been avid users of OpenAI’s ChatGPT, and the company’s ban of usage in China might come as a short-time shock, says innovation expert Winston Main the Guardian. But in the long run, it will help those China-based competitors as they are forced – and likely successful, in developing alternatives, he adds.
The Guardian:
One consequence of OpenAI’s decision may be that it accelerates the development of Chinese AI companies, which are in tight competition with their US rivals, as well as each other. China is estimated to have at least 130 large language models, accounting for 40% of the world’s total and second only to the US. But while US companies such as OpenAI have been at the cutting edge of generative AI, Chinese companies have been engaged in a price war that some analysts have speculated may harm their profit margins and their ability to innovate. Still, Winston Ma, a professor at New York University who writes about Chinese technology, said OpenAI’s departure from China comes “at a time when Chinese big tech players are closing on performance gap with OpenAI and are offering these Chinese LLM models essentially free”.
“OpenAI’s departure is a short-term shock to the China market, but it may provide a long-term opportunity for Chinese domestic LLM models to be put to the real test,” said Ma. Until now, Chinese companies have focused on the commercialisation of large language models rather than advancing the models themselves, he added.
US sanctions on China make it harder for Chinese companies to develop large-scale AI systems because they lack access to finance and computing power, says Winston Ma, adjunct professor of law at the New York University School of Law. But they will focus on AI applications and their commercialization rather than developing the big systems, he tells CNBC.
The world was in awe when Nvidia emerged as a giant in the stock markets, but the AI industry is still waiting for a real shake-out as it is still lacking a real killer app, says Winston Ma, adjunct professor at the NYU School of Law, in a comment at Forbes.
Forbes:
The market is betting on a much bigger story than generative AI itself: Maybe the AI boom will be the key critical catalyst for the ultimate digital transformation of all industries and economies, explains Winston Ma, adjunct professor at the NYU School of Law. “Then the demand for Nvidia chips will explode exponentially. The jury is still out because the market is searching for AI killer apps. 2024-2025 would be the years of AI implementation. The real test for Nvidia has just begun.”
AI-expert Alvin Wang Graylin, c0-author of Our Next Reality: Preparing for the AI-powered Metaverse, gives the commencement address at the 2024 UW ECE Graduation Ceremony, telling the new generation how the next industrial revolution will work out in their lives and careers. What challenges will the graduates face in the next ten years?