Discussing Startup Failures with Tom Eisenmann

Discussing Startup Failures with Tom Eisenmann

Author: AnalyticsWeek September 22, 2021 Duration: 1:01:33
In this conversation, Thomas Eisenmann discussed the complicated world of startup failures. Tom discussed various failures and what are some ways businesses could have done right. This is a great conversation for anyone seeking to understand failures and how to avoid them. Bio: Tom Eisenmann is the Howard H. Stevenson Professor of Business Administration at Harvard Business School (HBS) and the faculty co-chair of the Arthur Rock Center for Entrepreneurship. Since joining the HBS faculty in 1997, he’s led The Entrepreneurial Manager, an introductory course taught to all first-year MBAs, and launched fourteen electives on all aspects of entrepreneurship, including one on startup failure. Eisenmann has authored more than one hundred HBS case studies and his writing has appeared in The Wall Street Journal, Harvard Business Review, and Forbes. He is the author of the new book Why Startups Fail. Thomas's Book: Why Startups Fail: A New Roadmap for Entrepreneurial Success https://amzn.to/2SeCCEa Discussion Timeline: TIMELINE Stage 1: Lead-in 1. Starter: Give your starter pitch 1 point that this book points to: 2. Vishal briefly introduce guest Stage 2: Subject Matter Expertise 3. What is the state of startups today? 4. What are some common pitfalls you find in the world of startups? 5. What is the state of innovation today? 6. What are some common patterns you are seeing when it comes to startups that are coming up today? 7. How has corporate innovation stifled over the last year? Stage 3: Introduction as an author 8. Why study startup failures? 9. What are some surprises you found in studying startup failures? 10. What are the most common patterns of failure? 11. Why is it important to normalize and accept failure? 12. Is there such a thing as failing well? 13. What was one of most of the unexpected failures you learned about when writing this book? 14. How you should embrace failure if you are a founder? 15. Are failures something you avoid or something you should embrace? 16. Naseem Taleb suggests being anti-fragile, can startup be anti-fragile Stage 4: Rapid Fire [Say what comes to your mind] 17 a. #Startups 17 b. #Entrepreneurship 17 c. #Failures 17 d. #Growth 17 e. #Culture 17 f. #Founder 17 g. #Disruption 17 h. #JobsOfFuture 17 i. #FutureofStartup 17 j. #FutureofOrganization Stage 5: Closing 18. What are 1-3 best practices that you think are the key to success in your journey? 19. Do you have any favorite read? 20. As a closing remark, what would you like to tell our audience? About TAO.ai[Sponsor]: TAO is building the World's largest and AI-powered Skills Universe and Community powering career development platform empowering some of the World's largest communities/organizations. Learn more at https://TAO.ai About WorkPod: Work Pod takes you on the journey with leaders, experts, academics, authors, and change-makers designing the future of work, workers, and the workplace. About Work2.org WorkPod is managed by Work2.org, a #FutureOfWork community for HR and Organization architects and leaders. Sponsorship / Guest Request should be directed to info@tao.ai Keywords: #FutureofWork #Work2.0 #Work2dot0 #Leadership #Growth #Org2dot0 #Work2 #Org2

The landscape of data and analytics is shifting faster than ever, driven by the people who build the systems, challenge the norms, and imagine what comes next. The Future of Data Podcast from AnalyticsWeek sits down with those very people for substantive, often unexpected, dialogues. Each episode is a direct conversation with a leader, an influencer, or a change maker who is actively shaping this dynamic world. You’ll hear less from theorists and more from practitioners in the trenches, discussing the real-world implications of new technologies, the evolving ethics of data use, and the practical strategies that separate hype from genuine transformation. This podcast delves into the human stories behind the data stacks, exploring the challenges, failures, and breakthroughs that define modern analytics. It’s a space for nuanced discussion that goes beyond surface-level trends to examine how data is fundamentally altering industries, governance, and our daily lives. Listen for candid insights on building effective teams, navigating the complexities of AI integration, and anticipating what the next decade of innovation might demand from professionals at every level. These are the essential conversations for anyone who needs to understand not just what is happening in data, but why it matters and where we might be headed. Tune in for a thoughtful exploration of the tools, ideas, and individuals charting the course forward.
Author: Language: English Episodes: 96

The Future of Data Podcast | conversation with leaders, influencers, and change makers in the World of Data & Analytics
Podcast Episodes
Emergence of #DataOps Age - @AndyHPalmer #FutureOfData [not-audio_url] [/not-audio_url]

Duration: 56:45
In this podcast @AndyPalmer from @Tamr sat with @Vishaltx from @AnalyticsWeek to talk about the emergence/need/market for Data Ops, a specialized capability emerging from merging data engineering and dev ops ecosystem du…
Understanding #FutureOfData in #Health & #Medicine [not-audio_url] [/not-audio_url]

Duration: 56:59
In this podcast, Aaron Black from Inova Translational Medicine Institute talks about his journey in creating/leading data science practice in healthcare. He shared some of the best practices, opportunities, and challenge…
@DrewConway on fabric of an IOT Startup #FutureOfData #Podcast [not-audio_url] [/not-audio_url]

Duration: 1:03:02
In this podcast, Drew Conway (@DrewConway) from Aluvium talks about his journey to start an IoT startup. He sheds light on the opportunities in the industrial IoT space and shares some insights into the mechanism of runn…
@DrewConway on creating socially responsible data science practice [not-audio_url] [/not-audio_url]

Duration: 1:03:37
In this podcast, Drew Conway (@DrewConway) from Alluvium talks about his journey on creating a socially connected and responsible data science practice. He shared tactical steps and suggestions to help recruit the right…
@AlexWG on Unwrapping Intelligence in #ArtificialIntelligence [not-audio_url] [/not-audio_url]

Duration: 1:06:13
In this podcast, Alex Wissner-Gross from Gemedy sat with Vishal Kumar from AnalyticsWeek to discuss the convoluted world of intelligence in artificial intelligence. He sheds deep insights on what machines perceive as int…
Understanding #BigData #BigOpportunity in Big HR by @MarcRind [not-audio_url] [/not-audio_url]

Duration: 51:05
In this podcast, Marc Rind from ADP talked about big data in HR. He shared some of the best practices and opportunities that reside in HR data. Marc also shared some tactical steps to perform to help build better data-dr…
@JohnNives on ways to demystify AI for enterprise [not-audio_url] [/not-audio_url]

Duration: 1:02:18
In this podcast, @JohnNives discusses ways to demystify AI for the enterprise. He shares his perspective on how businesses should engage with AI and what are some of the best practices and considerations for businesses t…