Steven Data Talk

LearnByDoing With Steven

Machine Learning, AI, Data Science

  1. 10 MAR

    Steven Data Talk EP17 | Conversation with Innovator Coffee Podcast | AI ecosystem in Europe, AI bubble, education, responsible development, and risk awareness

    In this collaboration episode of Steven Data Talk, I join the team at Innovator Coffee Podcast for a cross-podcast conversation exploring the current AI ecosystem in Europe. Based in Milan, Italy, I share insights from the European startup landscape and my experience hosting Steven Data Talk, a bilingual podcast focused on data, AI, and emerging technology. Together we discuss how Europe’s AI development differs from the United States, from funding dynamics and infrastructure challenges to cultural factors that shape innovation. The conversation covers the ongoing debate around the “AI bubble,” Europe’s compute and data center shortages, and the realities founders face when building AI startups across the continent. I also highlight several notable European AI startups and discuss why education, responsible development, and risk awareness are increasingly important as AI technologies evolve. This episode is part of a podcast collaboration, bringing together audiences from both communities to exchange perspectives on the future of AI and the global innovation ecosystem. Episode Highlights Introduction: My background in finance, living in Milan, and the journey of launching Steven Data Talk How Europe Views AI: Public perception and regional differences in AI adoption European Work Culture & Innovation Speed: The role of work–life balance and labor regulations Is AI a Bubble? Perspectives across model layers, application layers, and enterprise adoption AI Infrastructure Constraints: Data centers, compute shortages, and founder challenges in Europe Interesting AI Startups in Europe: Agent workflows, Excel–LLM integrations, and AI-powered manufacturing Drivers and Limits of European AI Innovation: Funding scale, policy incentives, bureaucracy, and talent flow Startup Reality in Europe: Taxes, operational costs, and administrative hurdles Global Community Building: Cross-border collaboration between Europe and the U.S. tech ecosystems The Next Five Years of AI: Transformer limitations, world models, edge AI, and emerging paradigms If you're interested in AI innovation, European startups, and the global trajectory of artificial intelligence, this collaboration episode offers valuable perspectives from both sides of the ecosystem. My link: ⁠⁠https://linktr.ee/lea​rnbydoingwithsteven⁠

    26 min

  2. 9 MAR

    Steven Data Talk EP16[Notebooklm Ver] – Conversation with Tianze Tang, PhD Candidate at the Medical University of Vienna – Study Methods, Research Practice, AI and Research, Large Language Models, AI

    Steven Data Talk EP16 – Conversation with Tianze Tang, PhD Candidate at the Medical University of Vienna – Study Methods, Research Practice, AI and Research, Large Language Models, AI Development Trends, and Academic Planning & Higher-Education Advice in the AI Era Tianze Tang joined the Medical Data Science Department at the Medical University of Vienna in September last year as a PhD candidate. His primary research focuses on medical AI for retinal imaging. He received his Bachelor’s degree in Biotechnology from Xi’an Jiaotong University and his Master’s degree in Biostatistics from New York University. He has explored and developed knowledge across nearly all areas of AI. Personal website: https://ttzaiweb.com/ GitHub: https://github.com/TianzeTang0504 My link: https://linktr.ee/learnbydoingwithsteven Release date: March 9, 2026 (please refer to the social media matrix)

    7 min

  3. 9 MAR

    Steven Data Talk EP16[Notebooklm Ver] – Conversation with Tianze Tang, PhD Candidate at the Medical University of Vienna – Study Methods, Research Practice, AI and Research, Large Language Models, AI

    Steven Data Talk EP16 – Conversation with Tianze Tang, PhD Candidate at the Medical University of Vienna – Study Methods, Research Practice, AI and Research, Large Language Models, AI Development Trends, and Academic Planning & Higher-Education Advice in the AI Era Tianze Tang joined the Medical Data Science Department at the Medical University of Vienna in September last year as a PhD candidate. His primary research focuses on medical AI for retinal imaging. He received his Bachelor’s degree in Biotechnology from Xi’an Jiaotong University and his Master’s degree in Biostatistics from New York University. He has explored and developed knowledge across nearly all areas of AI. Personal website:⁠https://ttzaiweb.com/⁠ GitHub:⁠https://github.com/TianzeTang0504⁠ My link:⁠https://linktr.ee/learnbydoingwithsteven⁠ Release date: March 9, 2026 (please refer to the social media matrix)

    58 min

  4. 29/12/2025

    Steven Data Talk EP15 With Mickey Notebooklm EN version | Marketing, AI product goes overseas

    AI_s_Global_Gamble This podcast transcript features a conversation between host Steven and MK, the founder of Grow Max, an agency specializing in AI product marketing for global markets. Drawing on nine years of experience at NetEase, MK discusses the transition from gaming logistics to the AI sector, emphasizing the importance of storytelling and branding for Chinese companies expanding abroad. The discussion identifies key obstacles for AI globalization, such as cultural gaps, data privacy concerns, and the need for localized content created by cross-border teams. MK also shares insights on market trends, predicting a rise in AI for social and emotional support and an impending expansion into European markets. Finally, the dialogue explores the future of education, suggesting that parents must prioritize critical thinking and imagination as AI becomes a fundamental tool in daily life.

    6 min

  5. 29/12/2025

    Steven Data Talk EP15 With Mickey Notebooklm EN version | Marketing, AI product goes overseas

    AI_s_Global_Gamble This podcast transcript features a conversation between host Steven and MK, the founder of Grow Max, an agency specializing in AI product marketing for global markets. Drawing on nine years of experience at NetEase, MK discusses the transition from gaming logistics to the AI sector, emphasizing the importance of storytelling and branding for Chinese companies expanding abroad. The discussion identifies key obstacles for AI globalization, such as cultural gaps, data privacy concerns, and the need for localized content created by cross-border teams. MK also shares insights on market trends, predicting a rise in AI for social and emotional support and an impending expansion into European markets. Finally, the dialogue explores the future of education, suggesting that parents must prioritize critical thinking and imagination as AI becomes a fundamental tool in daily life.

    13 min

  6. 01/12/2025

    Steven Data Talk | Ep 14 | JJ Never Sleeps

    Steven Data Talk Ep 14: JJ Never Sleeps - From Tesla to Meta: AI, PM Careers, and Building the Biggest PM CommunityDescriptionIn this insightful episode of Steven Data Talk, host Steven interviews JJ Jajin (JJ Never Sleeps), a successful professional who has navigated the tech world and built one of the largest Product Manager (PM) communities in San Francisco. JJ shares her remarkable journey across Tesla, Wise, LinkedIn, and now Meta as a Product Manager. Key discussion points include: Career Trajectory and Decisions: JJ describes her path from Wuhan University and Duke University, influenced by reading Steve Jobs’ biography, which led her to pursue Computer Science and product management. She shares her milestone experience at Tesla, where she learned how big corporations operate. Core PM Principles: JJ talks about her three guiding principles that remain consistent across tech environments: deep user obsession (referencing her hundreds to thousands of user conversations at LinkedIn), data-driven decision-making (placing more weight on quantitative data), and remaining humble without ego. The "JJ Never Sleeps" Community: JJ explains how she built a major PM community as a side project, aiming to close the information gap for Chinese students pursuing APM roles in the United States. She highlights challenges such as language barriers, firewall restrictions, and differences in product storytelling. Details Introduction & JJ’s Journey (Wuhan, Duke, Tesla, LinkedIn, Meta) Decision to become a Product Manager (Steve Jobs influence) Realizing the Information Gap and discovering Tesla at Duke Tesla Experience: Learning about Big Corporations and APM Programs Early Leadership: Wuhan University Student Union President Experience Core Product Manager Principles (Users Obsession, Data-Driven, No Ego) Motivation for Building the JJ Never Sleeps Community Challenges for International PMs & Community Building Purpose AI Impact: Switching to Meta & Basic AI Tools (ChatGPT, Nanobanana) Defining AI Native Product Thinking Tesla Culture: Result-Oriented Mindset, Flat Organization, and Managing Up Designing for Advanced Users vs. Newcomers (AI Personalization) Building Personal Brand: Prioritizing Community Quality over Quantity Advice for PMs Building a Public Voice (Niche vs. Massive Market) Guest Speaking at Harvard, CMU, USC: Differences in Student Questions Perspective on AI Replacing Product Managers (Tech vs. Business ROI) Future PM Skills: Model Intuition and Storytelling (Practice makes perfect) Conclusion: Meaning of "Never Sleeping" and Final Advice (Resilience & Passion)#ProductManagement #TechCareer #AI #AInative #JJNeverSleeps #Meta #LinkedIn #Tesla #APM #CommunityBuilding #DataTalk #Entrepreneurship #SiliconValley #CareerMove “Steven Data Talk” — delivering clear conversations on cutting-edge AI, technology, innovation, business, and entrepreneurship.Now available on Spotify, Apple Podcasts, YouTube, Amazon Music, Xiaoyuzhou, Ximalaya, and more. Support the creator & explore all links:https://linktr.ee/learnbydoingwithsteven Disclaimer:https://mp.weixin.qq.com/s/CSX358HspNIBQiGsGtQBdA

    1h 28m

  7. 27/11/2025

    Steven Data Talk | E 13 | Repost of Build Up with Lydia – Navigating AI and Entrepreneurship from Milan

    This episode is a republish from Build Up with Lydia, featuring Milan-based data scientist and content creator, Steven.Steven's Journey and Vision: Steven shares his background, which includes over ten years in banking and corporate finance before he returned to academia to pursue dual master's degrees in data science and economics. He discusses his shift toward content creation and entrepreneurship, which includes establishing a local AI community in Milan and dissecting YC startup courses. His goal is to build the European equivalent of Silicon Valley 101. Steven’s brands include Learn by doing with Steven (focusing on tutorials) and his podcast, Steven Data Talk (centered on data).Innovation Culture: Europe vs. Silicon Valley: Steven describes Europe as an "AI development low ground" due to its conservative environment and complex legal landscape, noting the challenges posed by regulations like GDPR and the new AI Act. However, he maintains that pursuing ambitious goals in such a difficult environment is more meaningful. In contrast, Steven characterizes Silicon Valley's fierce competition not as a consensus-driven spiral, but as an "involuting existence" (卷存感)—a high-pressure race for media attention (e.g., TechCrunch), early top VC funding, and status.The Role of Podcasting: Steven views podcasting as a lifelong endeavor and the best medium for facilitating deep, meaningful conversations and finding "fellow travelers".This content has been summarized from the original Chinese version using NotebookLM. 🔗 Support the Creator & Access All Linkshttps://linktr.ee/learnbydoingwithsteven#AI #AIAgents #AgentOrchestration #AIEconomy #LLM #Decentralization #Blockchain #AISafety #Innovation #Startup #DeepDivePodcast

    5 min

  8. 27/11/2025

    Steven Data Talk | E13 | Repost of Build Up with Lydia – Navigating AI and Entrepreneurship from Milan

    This episode is a republish from Build Up with Lydia, featuring Milan-based data scientist and content creator, Steven.Steven's Journey and Vision: Steven shares his background, which includes over ten years in banking and corporate finance before he returned to academia to pursue dual master's degrees in data science and economics. He discusses his shift toward content creation and entrepreneurship, which includes establishing a local AI community in Milan and dissecting YC startup courses. His goal is to build the European equivalent of Silicon Valley 101. Steven’s brands include Learn by doing with Steven (focusing on tutorials) and his podcast, Steven Data Talk (centered on data).Innovation Culture: Europe vs. Silicon Valley: Steven describes Europe as an "AI development low ground" due to its conservative environment and complex legal landscape, noting the challenges posed by regulations like GDPR and the new AI Act. However, he maintains that pursuing ambitious goals in such a difficult environment is more meaningful. In contrast, Steven characterizes Silicon Valley's fierce competition not as a consensus-driven spiral, but as an "involuting existence" (卷存感)—a high-pressure race for media attention (e.g., TechCrunch), early top VC funding, and status.The Role of Podcasting: Steven views podcasting as a lifelong endeavor and the best medium for facilitating deep, meaningful conversations and finding "fellow travelers".This content has been summarized from the original Chinese version using NotebookLM. 🔗 Support the Creator & Access All Linkshttps://linktr.ee/learnbydoingwithsteven#AI #AIAgents #AgentOrchestration #AIEconomy #LLM #Decentralization #Blockchain #AISafety #Innovation #Startup #DeepDivePodcast

    14 min
See All (22)

About

Machine Learning, AI, Data Science

Information

More From LearnByDoing With Steven