From the lessons of China's hyper-competitive e-commerce ‘bloodbath’ to the practical reality of using AI to be more productive, how can businesses navigate today's biggest trends? Our guest, a former Alibaba executive, is here to cut through the hype.



Author and keynote speaker Sharon Gai joins us to share her unique perspective, drawing on lessons from her book "E-commerce Reimagined" and her upcoming book "How to Do More with Less Using AI." She discusses the common misconceptions about the Chinese e-commerce market and argues that businesses should focus on practical AI applications to solve real-world bottlenecks.



We discuss:


Key misconceptions about China's hyper-competitive e-commerce market.


The most practical, "low-hanging fruit" application for AI in business: productivity.


How to identify which repetitive tasks are ready for AI automation.


Why "hybrid intelligence"—strategic human-AI collaboration—is the optimal approach.


The key lessons from past technology hype cycles.



Image Credit: Shutterstock

From the lessons of China's hyper-competitive e-commerce ‘bloodbath’ to the practical reality of using AI to be more productive, how can businesses navigate today's biggest trends? Our guest, a former Alibaba executive, is here to cut through the hype.Author and keynote speaker Sharon Gai joins us to share her unique perspective, drawing on lessons from her book "E-commerce Reimagined" and her upcoming book "How to Do More with Less Using AI." She discusses the common misconceptions about the Chinese e-commerce market and argues that businesses should focus on practical AI applications to solve real-world bottlenecks.We discuss:<ul><li>Key misconceptions about China's hyper-competitive e-commerce market.</li><li>The most practical, "low-hanging fruit" application for AI in business: productivity.</li><li>How to identify which repetitive tasks are ready for AI automation.</li><li>Why "hybrid intelligence"—strategic human-AI collaboration—is the optimal approach.</li><li>The key lessons from past technology hype cycles.</li></ul>Image Credit: Shutterstock

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