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Скачать или смотреть EP1 Data Science and AI in Financial Industry [EN-Machine Translation Version]

  • Learn by Doing with Steven
  • 2025-10-16
  • 1
EP1 Data Science and AI in Financial Industry [EN-Machine Translation Version]
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Описание к видео EP1 Data Science and AI in Financial Industry [EN-Machine Translation Version]

Data Talk [EN-Machine Translation Version]Data Science and AI in Financial Industry with GiorgioGiorgio is an experienced professional financial industry practitioner and now content creator and independent fx trader.The original talk was in Chinese, and the machine translated version is also published here.In this episode of the podcast, host Steven introduces the topic of data science in finance and AI applications. He welcomes Georgio, a trader and self-media entrepreneur, to discuss:- **Data Science in Trading**: Georgio explains the difference between subjective and quantitative trading, highlighting the importance of historical data analysis for strategy evaluation. 📊- **Self-Media Entrepreneurship**: Georgio shares how data analysis shapes video content and audience engagement, emphasizing the need to adapt based on viewer feedback. 🎥- **AI Tools**: They discuss the role of AI, like ChatGPT, in improving efficiency and creativity, while addressing concerns about job displacement. 🤖- **Advice for Students**: Steven encourages college students to engage with AI technologies, stressing the importance of understanding their pros and cons. 🎓Introduction: Career background and entrepreneurial journey.Importance of data science and analytics in past work.Impact of data science and analytics on current entrepreneurship.Use of AI language models in work and learning.Opinion on ChatGPT.Interest in Perplexity tools.Trust in AI tools and replacement of human labor.Blue ocean opportunities in data science and AI in finance.Advice for university students on learning and career.00:00 - Introduction and Podcast Overview00:34 - Host and Guest Introductions01:05 - Importance of Data Science in Financial Industry02:45 - Trading Types: Subjective vs. Quantitative04:05 - Historical Data Analysis in Trading06:30 - Data in Self-Media Entrepreneurship09:20 - Audience Analysis and Content Planning11:30 - Data’s Role in Optimizing Self-Media Content13:55 - Chat GPT and Language Model Applications17:45 - AI in Trading and Potential Replacements20:25 - Chat GPT’s Benefits and Limitations23:45 - Future of Data Science and AI in Financial Industry26:00 - Closing Remarks and Future Topics#LearnByDoing #DataScience #Finance #AIApplications #Trading #SelfMedia #AudienceEngagement #DataAnalysis #QuantitativeTrading #SubjectiveTrading #ChatGPT #AIEfficiency #StudentAdvice #Podcast #Innovation #Entrepreneurship

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