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.

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.

Steven Data Talk Ep 14: JJ Never Sleeps - From Tesla to Meta: AI, PM Careers, and Building the Biggest PM Community Description In 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

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

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

This episode of Steven Data Talk is a republication of a discussion originally aired on Abby's podcast, 风平浪静. (Content summarized from the original Chinese version using NotebookLM.)Steven, an experienced AI content creator and entrepreneur, joins Abby to discuss his career pivot and his work in the AI community.Key Topics Covered:• Steven's Background and Transition: Steven shares his 14 years of professional experience, primarily in commercial banking and financing, and his current pursuit of a second Master's degree in Data Science and Economics at the University of Milan. This academic focus includes deep learning, reinforcement learning, and NLP.• The Podcast's Mission: Steven's podcast, Steven Data Talk (English version) and Steven 數 據 慢 談 (Chinese version), is inspired by major hosts like Lex Fridman and Andrew Huberman. The show targets entrepreneurs, AI engineers, AI researchers, and investors (VC/PE) in the AI industry. Its primary goal is to provide a platform for in-depth communication to reduce information asymmetry and help various stakeholders find collaborators or opportunities.• Networking and Content Strategy: Steven uses the podcast format as a highly focused tool for deep communication, contrasting it with typical surface-level networking. He finds most of his high-caliber guests, including professors and engineers, via the Xiao Hong Shu platform.• New Project: Steven introduced a parallel project called Stephen MOE (Mixture of Experts), a live-streamed roundtable discussion inspired by an IBM podcast, which focuses on debating major AI events and topics.• AI Entrepreneurship in Europe: Steven, based in Milan, observes a limited number of AI startups in continental Europe compared to the US and China. European projects often focus on vertical/niche areas, such as industrial process automation, Excel plugins, or humanitarian projects combining 3D printing and AI for custom footwear.• Challenges of the European Market: Major obstacles for AI entrepreneurs include severe regulatory pressure (such as the AI Act and GDPR), high taxes, and a lack of compute resources (GPUs), which makes the environment challenging for startups. Italy was noted as the first country to mandate the take-down of the Deepfake App (DeepFace).• Opportunities for Chinese Firms: Steven suggests that the European market is likely waiting for US and Chinese AI companies to take market share. Chinese AI companies, particularly those focused on open-source models, have a comparative advantage and are starting to explore the market by building developer communities. 🎧 Follow and explore all content:👉 ⁠linktr.ee/learnbydoingwithsteven⁠ #AIEntrepreneurship #FutureOfWork #TeamBuilding #AIAgents #StartupMindset #Leadership #HRTech #AICommunity #DeepDivePodcast #LearnByDoing

This episode of Steven Data Talk is a republication of a discussion originally aired on Abby's podcast, 风平浪静. (Content summarized from the original Chinese version using NotebookLM.)Steven, an experienced AI content creator and entrepreneur, joins Abby to discuss his career pivot and his work in the AI community.Key Topics Covered:• Steven's Background and Transition: Steven shares his 14 years of professional experience, primarily in commercial banking and financing, and his current pursuit of a second Master's degree in Data Science and Economics at the University of Milan. This academic focus includes deep learning, reinforcement learning, and NLP.• The Podcast's Mission: Steven's podcast, Steven Data Talk (English version) and Steven 數 據 慢 談 (Chinese version), is inspired by major hosts like Lex Fridman and Andrew Huberman. The show targets entrepreneurs, AI engineers, AI researchers, and investors (VC/PE) in the AI industry. Its primary goal is to provide a platform for in-depth communication to reduce information asymmetry and help various stakeholders find collaborators or opportunities.• Networking and Content Strategy: Steven uses the podcast format as a highly focused tool for deep communication, contrasting it with typical surface-level networking. He finds most of his high-caliber guests, including professors and engineers, via the Xiao Hong Shu platform.• New Project: Steven introduced a parallel project called Stephen MOE (Mixture of Experts), a live-streamed roundtable discussion inspired by an IBM podcast, which focuses on debating major AI events and topics.• AI Entrepreneurship in Europe: Steven, based in Milan, observes a limited number of AI startups in continental Europe compared to the US and China. European projects often focus on vertical/niche areas, such as industrial process automation, Excel plugins, or humanitarian projects combining 3D printing and AI for custom footwear.• Challenges of the European Market: Major obstacles for AI entrepreneurs include severe regulatory pressure (such as the AI Act and GDPR), high taxes, and a lack of compute resources (GPUs), which makes the environment challenging for startups. Italy was noted as the first country to mandate the take-down of the Deepfake App (DeepFace).• Opportunities for Chinese Firms: Steven suggests that the European market is likely waiting for US and Chinese AI companies to take market share. Chinese AI companies, particularly those focused on open-source models, have a comparative advantage and are starting to explore the market by building developer communities. 🎧 Follow and explore all content:👉 ⁠linktr.ee/learnbydoingwithsteven⁠ #AIEntrepreneurship #FutureOfWork #TeamBuilding #AIAgents #StartupMindset #Leadership #HRTech #AICommunity #DeepDivePodcast #LearnByDoing

This is notebooklm summary version. Original version in Chinese, find it in Steven数据漫谈 🧭 Summary In this episode of The Explainer, we dive into the new AI gold rush — not from the tech or funding side, but from the people side. Startup advisor Julie shares her hard-won insights from helping founders build core AI teams from scratch. We explore: 🔹 Why the hardest part of building an AI startup isn’t ideas or funding — it’s people. 🔹 Where to actually find “wild power” — the rare creators with entrepreneurial fire. 🔹 How to become the super-individual every AI founder is looking for. 🔹 The new rules of career building in the age of AI-agents and exponential productivity. 🕒 Timestamps 00:00 – 00:25 | Welcome to The Explainer: setting up the new AI gold rush 00:25 – 01:05 | The new frontier: why AI changes the startup rulebook 01:05 – 01:30 | The real bottleneck isn’t ideas — it’s people 01:30 – 02:00 | Why “Big Tech” talent may not fit startup chaos 02:00 – 02:40 | Where to find true builders — “underwater” creators 02:40 – 03:05 | The rare skill combo: curiosity + ownership 03:05 – 03:40 | The two new core skills for the AI era 03:40 – 04:05 | From “using AI” to commanding AI 04:05 – 04:40 | Becoming a super-individual: leading your AI agent team 04:40 – 05:00 | The 10x effect: how AI widens the talent gap 05:00 – 05:40 | Mindset, mastery, visibility — your new career playbook 05:40 – END | Final thought: curiosity beats credentials in the age of AI 🧠 Key Quote “The best people aren’t scrolling LinkedIn — they’re building in the shadows. You have to go find their wild power.” — Julie 🚀 Takeaway The future belongs to those who can learn fast, master AI, and show their work publicly. Your resume won’t save you — your curiosity will. 🎧 Follow and explore all content: 👉 linktr.ee/learnbydoingwithsteven #AIStartups #AICareers #TeamBuilding #AIRevolution #FutureOfWork #StartupMindset #SuperIndividual #LearnByDoing #ExplainerPod #GenerativeAI

This is notebooklm summary version. Original version in Chinese, find it in Steven数据漫谈 🎧 Summary In this Deep Dive, we explore how AI is transforming what it means to “build a team.”Featuring insights from Julie, an HR expert and community leader in Shanghai’s AI ecosystem, we unpack the paradox of modern entrepreneurship — when the real bottleneck isn’t capital or ideas, but finding the right person. From the rise of the one-person company powered by AI agents, to the scarcity of multi-skilled “super individuals,” we discuss what defines entrepreneurial DNA today — wild power, curiosity, focus, and the ability to drive AI, not just use it.🕒 Time-Stamped Highlights 00:00 – 00:06 | Intro: Setting the mission — decoding the future of team building in AI. 00:06 – 00:18 | Julie’s insights from Shanghai’s AI scene: where HR meets innovation. 00:18 – 00:30 | The new bottleneck: people, not ideas. 00:30 – 00:49 | Why top corporate résumés might make terrible co-founders. 00:49 – 01:08 | Enter the “Super Individual” — mastering AI orchestration. 01:08 – 01:32 | What AI agents really are, and how one operator can replace an entire team. 01:32 – 02:13 | Extreme organizational compression: startups with zero overhead. 02:13 – 03:05 | Talent paradox — the hunt for rare hybrid profiles. 03:05 – 03:33 | Corporate pedigree vs. startup chaos: why mindsets clash. 03:33 – 03:58 | “Talked-out” talent: how real founders find co-founders offline. 03:58 – 04:55 | Hidden talent pools — from geek forums to Xiaohongshu. 04:55 – 05:17 | The new ideal: people with wild power and raw creative energy. 05:17 – 06:13 | The alignment trap — when goals don’t match missions. 06:13 – 07:01 | The “comprehensive individual” — the ultimate scarce resource. 07:01 – 07:49 | Polarization of capability: how AI magnifies human differences. 07:49 – 08:29 | Slash skills — the high-leverage combo of tech + market sense. 08:29 – 08:59 | Julie’s grounded advice: “Don’t rush into entrepreneurship.” 08:59 – 09:34 | The core abilities of the AI era: sustained learning, driving AI, maintaining focus. 09:34 – 10:00 | Focus as a superpower — filtering signal from noise. 10:00 – 10:12 | Outro reflection: Success now depends less on scale, more on the super individual. 💡 Key Takeaways * The one-person company is becoming a reality through AI agent orchestration. * The talent gap is psychological as much as technical — curiosity, ownership, and resilience matter most. * The future of work favors hybrid, cross-disciplinary minds who can continuously learn and refocus. * Focus and curiosity are now as valuable as capital. 🎧 Follow and explore all content: 👉 linktr.ee/learnbydoingwithsteven #AIEntrepreneurship #FutureOfWork #TeamBuilding #AIAgents #StartupMindset #Leadership #HRTech #AICommunity #DeepDivePodcast #LearnByDoing

This is NotebookLM Video Summary from CN version.Original version @Steven数据漫谈 podcast.Episode 9 features AI Engineer Nan Xiao discussing Sammo, a decentralized AI Agent platform. The vision is to create an "agent economy" where developers can monetize agents. The platform is decentralized (no "central brain") and uses blockchain for transparent evaluation. Nan Xiao also covers the practical limits of AI coding, the philosophy of giving agents autonomy (no "babysitting"), and how startup "chaos" drives innovation. While open-source, Sammo's business model targets enterprise clients, aiming to solve the core problem of inefficient agent collaboration.🔗 Support the Creator & Access All Linkshttps://linktr.ee/learnbydoingwithsteven#AI #AIAgents #AgentOrchestration #AIEconomy #LLM #Decentralization #Blockchain #AISafety #Innovation #Startup #DeepDivePodcast 📌 Footnote 1. The system is not built on blockchain; it uses agent-state chains. 2. The phrase “7 difference matrices” is incorrect; it should be “7 different statistical measures/metrics.” 3. The brief explanation of blockchain around 4:38 may be misleading and may require trimming. Note: This media is generated by NotebookLM, and errors may occur. Please refer to the original Chinese podcast for the authoritative version.

This is NotebookLM Audio Summary from CN version.Original version @Steven数据漫谈 podcast.Episode 9 features AI Engineer Nan Xiao discussing Sammo, a decentralized AI Agent platform. The vision is to create an "agent economy" where developers can monetize agents. The platform is decentralized (no "central brain") and uses blockchain for transparent evaluation. Nan Xiao also covers the practical limits of AI coding, the philosophy of giving agents autonomy (no "babysitting"), and how startup "chaos" drives innovation. While open-source, Sammo's business model targets enterprise clients, aiming to solve the core problem of inefficient agent collaboration.---Inside Summoner: Building a Decentralized AI Agent EconomyAbout the ShowSteven Data Talk — delivering the clearest conversations on cutting-edge AI, technology, innovation, business, and entrepreneurship.Now available on Spotify, Apple Podcasts, YouTube, Amazon Music, Xiaoyuzhou, Ximalaya, and more.Episode SummaryIn this Deep Dive, we explore how Summoner is attempting to orchestrate AI agents into interoperable “fleets,” measure their contributions quantitatively, and build a decentralized AI agent economy secured by cryptography and blockchain. We discuss incentives, evaluation metrics, security, real R&D breakthroughs, the limits of LLM-generated code, and how these agent architectures could even power socioeconomic simulations.⏱️ Chapters (YouTube-optimized)00:00 – Intro: Why AI agent orchestration matters00:32 – Fragmented agent world & Summoner’s core vision01:40 – Agent fleets, incentives & reward distribution03:05 – Search, discovery & evaluation-driven ranking04:15 – Custom evaluation using company context (docs, PDFs, SQL)05:20 – Seven metrics, custom formulas & defining agent “value delivered”06:30 – Security: decentralized IDs, cryptography & blockchain ledger07:40 – R&D story: visualizing agent interactions (UEP → PCA → PLS)08:40 – LLM limits vs human engineering in complex system code09:40 – Autonomy vs micromanagement: enterprise needs vs emergent behavior10:20 – Beyond enterprise tasks: agent societies & social science simulations10:55 – Open-source “highway” mindset & startup chaos vs big-tech comfort11:30 – Final reflection & closing question to the audience🔗 Support the Creator & Access All Linkshttps://linktr.ee/learnbydoingwithsteven#AI #AIAgents #AgentOrchestration #AIEconomy #LLM #Decentralization #Blockchain #AISafety #Innovation #Startup #DeepDivePodcast 📌 Footnote 1. The system is not built on blockchain; it uses agent-state chains. 2. The phrase “7 difference matrices” is incorrect; it should be “7 different statistical measures/metrics.” 3. The brief explanation of blockchain around may be misleading and may require trimming. Note: This media is generated by NotebookLM, and errors may occur. Please refer to the original Chinese podcast for the authoritative version.

Ever wondered if your idle gaming PC could power the next AI revolution? In this episode, Steven sits down with Adam, co-founder of Gongji Computing Power, to discuss their groundbreaking platform that's been called the "Airbnb of AI computing power".Adam shares how a small project at Tsinghua University grew into a venture-backed startup aiming to solve the global computing power crunch. They dive deep into how Gongji connects underutilized GPUs from individuals and businesses to meet the massive, elastic demand of AI applications.In this episode, we cover:The innovative platform model that turns idle computers into a powerful, distributed supercomputer.The "secret weapon" scheduling system that ensures stability and security without owning any hardware.China's unique advantages in the global AI hardware race, from energy infrastructure to manufacturing scale.An insightful take on the future of AI, including the rise of small models and the strategic differences between China's open-source push and the West's closed-source approach.This conversation offers a fascinating look into the infrastructure powering the AI boom. What are your thoughts on this decentralized approach? Let us know in the comments!#AI #ComputingPower #GPU #TechStartup #Gongji #AIInfrastructure #ChinaTech #OpenSource #LargeLanguageModels #StevenDataTalk

🎙️ Show Notes: Steven Data Talk EP8 with Aria — From Journalism to Silicon Valley Marketing Stardom In this insightful episode, host Steven sits down with Aria, a Head of Marketing at a fintech startup and a true rising star in Silicon Valley. Aria shares her compelling journey from being a journalist at Business Insider to becoming a marketing leader, offering a masterclass for founders, marketers, and anyone looking to build a powerful professional presence. Key Topics Covered: Aria's Career Pivot : Discover why Aria transitioned from a successful journalism career, where she interviewed thought leaders and investors, to the fast-paced world of startups in Silicon Valley. Her time at UC Berkeley's Sutardja Center for Entrepreneurship and Technology (SCET) ignited her passion for the startup ecosystem. The Golden Rule of Marketing : Aria emphasizes a crucial point before diving into strategy: "Great marketing will not fix a bad product". A solid product is the non-negotiable foundation. Founder-Led Marketing : For early-stage startups without a budget, the founder must be the chief marketer. Aria argues that this early marketing should feel "journalistic," powerfully answering why this problem matters, why now, and why you are the one to solve it. The primary goal at the pre-seed/seed stage is to find "message-market fit". The "Audience First" Framework : You must tailor your narrative for different audiences:Customers: They care about how your product makes their life easier, not your roadmap. Show them transformation with testimonials.Investors: They need conviction, not hype. Show them you know your market inside and out (TAM, SAM, SOM).Potential Hires: Share your purpose, team energy, and culture. This is a critical part of marketing.Media: They are curators. You need to shape your story and pitch it effectively. Tech PR Deep Dive: Hard News vs. Soft News: You can't control hard news (fundraising, launches), but you can control soft news by becoming a thought leader journalists seek out for quotes. PR Misconceptions: Aria debunks common myths, such as reporters finding you automatically, getting to approve drafts, or that aggressive follow-ups work. Building Media Relationships: It's a long-term game of nurturing relationships and providing genuine value, not just asking for coverage. The Power of In-Person Events : Aria is a strong advocate for on-site events, especially in relationship-driven industries like finance and real estate. In-person interactions create a level of trust and personalized connection that online channels struggle to replicate, leading to high sales conversion rates. Aria's Top 3 Career Tips: Build Relationships with Peers: Don't just network up. Your peers are the ones who will grow with you.Just Give It a Try: Overcome risk aversion. The best time to start is now. Listen, but Trust Your Gut: Gather advice, but ultimately have conviction in your own intuition for key decisions. Favorite AI Tools : Aria shares her go-to AI tools that create "aha" moments, including Granola for its exceptional user experience in note-taking , Opus Clip for repurposing video content, and HubSpot as an all-in-one CRM. 🎙️ Podcast Disclaimer All opinions, statements, and views expressed in this podcast and its associated channels — including Steven Data Talk, Learn by Doing with Steven, Steven数据漫谈, and 数能生智 — are solely those of the hosts and guests, and do not represent the official positions of any organizations, employers, or partners.The content is intended solely for educational, informational, and discussion purposes. Nothing shared should be construed as professional advice of any kind, including but not limited to investment, legal, financial, or medical advice.Full disclaimer: https://youtu.be/1gYXvDjuUgM

Welcome to this episode of "Steven's Data Talk"! In this episode, we are honored to have Abby as our guest. She is a serial entrepreneur focusing on customer growth and the overseas expansion of AI products, and is also the host of the well-known podcast "Calm" (风平浪静) on Xiaoyuzhou. Abby shares with us her complete in-depth journey, from her self-planning during her university days, to accumulating experience in big tech companies, and finally to bravely embarking on her entrepreneurial path. Whether you are a student, a newcomer to the workplace, or a friend considering entrepreneurship, we believe you will find valuable inspiration in her story. Episode Timeline: Opening Introduction Guest Introduction: Abby, an entrepreneur in customer growth and AI product overseas expansion, and host of the "Calm" podcast. Abby's Entrepreneurial Path Foresight in University: Began contemplating her future career path during freshman military training, rejecting the "standard answers" and resolving to enter the corporate world.Accumulation and Planning in Big Tech: After entering a major internet company, she consciously rotated through different positions in marketing, operations, ToB, and ToC, developing a comprehensive skill set and laying a solid foundation for entrepreneurship. The Seeds and Preparation for Entrepreneurship: Started collecting start-up ideas one to two years in advance, learned about the real entrepreneurial ecosystem through numerous offline Coffee Chats, and finally launched her business two months ago when the timing was perfect. Behind the Podcast "Calm"Origin of the Name: The hope to examine the world and oneself with a rational, independent attitude, without just following the crowd. Core Positioning: A podcast that documents personal thoughts and growth, dedicated to providing a continuous source of internal motivation for renewal. Valuable Experiences on the Entrepreneurial Journey Core Challenge: How to discern the real needs behind a user's purchase of a high-priced service, not just the superficial ones.The Solution: Through Coffee Chats with real users, she gained a deep understanding of their decision-making logic, which allowed her to adjust her marketing approach. Entrepreneurial Methodology: Abby strongly endorses the lean start-up model of a small team, no external funding, and rapid MVP (Minimum Viable Product) development, believing this method maintains the team's "hunger" and high efficiency. The Most Important Lesson Learned from Big Tech The Leap in Mindset: The biggest gain was shifting from an executive mindset of "how to do it well" to a strategic mindset of "what should be done." The former is concerned with tactics, while the latter determines the strategic direction. How to Cultivate Strategic Thinking: Try to think from the perspective of your boss, or even your boss's boss, to consider the business as a whole and understand the objectives and the path to achieving them. On Passion and "Self-Consistency" Rejecting Internal Friction: When you feel uncomfortable or unable to grow in an environment, be brave enough to make a change to achieve "self-consistency" in life. The Value of Passion: Maintaining passion for your career is key to success. When you are passionate about something and invest time in it, success will come naturally. Abby's Podcast Recommendation:Search for "风平浪静" on the Xiaoyuzhou app to listen to more of Abby's shares on growth, thought, and self-exploration. #Podcast #EnglishPodcast #StevensDataTalk #CalmPodcast #Entrepreneurship #StartUpStory #PersonalGrowth #CareerPlanning #AI #ProductLaunch #BigTech #SelfAwareness #WomenInTech #FemaleFounders #MindsetShift #LeanStartup

Steven Data Talk EP6 with guest Kyla, DukeCEO, Sketch3D.AI