Way to data scientist

"I'm Danny, an AI-Powered CRM & Growth Data Product Manager. I bridge data science, marketing technology, and product thinking to transform customer engagement. My expertise spans AI-driven personalization, SEO automation, and content marketing, data-powered growth strategies. Here, I share actionable insights on MarTech, predictive analytics, and becoming a marketing data scientist."

Some thoughts on video of lixiang

1. Insights on Recruitment

When recruiting, it is essential to have a clear understanding of the type of person you want to hire. This is crucial. During the recruitment process, you can actually learn a lot yourself.

2. Technology and Market Choices

Extended-range electric vehicles were once considered outdated technology, and this was a consensus at the time. However, Li Xiang recognized that with the two-child policy, the six-seater car market would see significant growth. Finding incremental opportunities within a saturated market is key.

3. About AI Learning

Learning before university is essentially a pre-training process. Learning from experts is a fine-tuning process. Gaining practical experience in society is a reinforcement learning process.

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