In this session, Randy Bean, Author of “Fail Fast, Learn Faster”, shares tips on how to build a people-centric data-driven organization. With his vast experience in this field, being a noted author and a strategic advisor to fortune 1000 companies, he talks about some of the challenges and opportunities data holds for organizations today.
Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI by Randy Bean https://amzn.to/2XNcLpF
Randy Bean is an industry thought leader, author, and speaker in the field of data-driven business leadership. He is known for his frequent columns in Forbes, Harvard Business Review, MIT Sloan Management Review, and The Wall Street Journal. His book, Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI, was published on August 31, 2021. Bean is the founder and CEO of NewVantage Partners, a strategic advisory firm which he founded in 2001. Bean also serves as co-chair of the James Merrill House, an internationally acclaimed writers residency program. He is a graduate of Washington University in St. Louis and resides in Boston, MA, and Stonington Borough, CT.
0:45 Randy’s journey.
4:10 What are some of the trends fortune 1000 companies are facing in these disruptive times?
9:50 Challenges fortune 1000 companies are facing with the tech disruptions today.
12:16 The reason for not having any strategy for capitalizing the available data.
15:13 Best practices for leaders to get the company on the data bandwagon
21:33 The dilemma of being data-driven is against our intelligence.
28:22 How are businesses communicating data to their people?
35:00 Inspiration behind Randy’s book “Fail Fast and Learn Faster”.
37:20 The reasoning behind writing “Fail Fast and Learn Faster”.
40:05 How have leaders and company’s understanding of data maturity evolved over the past few years?
44:50 How can business leaders and data leaders coordinate better?
47:54 Rapid fire.
52:44 Randy’s success mantra.
53:56 Randy’s favorite reads.
55:04 Closing remarks.
Stage 1: Lead-in
- Starter: Give your starter pitch 1 point that this book points to:
- Vishal briefly introduce guest
Stage 2: Subject Matter Expertise
- What is the state of startups in data-driven times today?
- State of leadership in a data mature organization?
- AI and Enterprise outlook? Cautionary tale or hopeful story
- Who will win the AI race?
- Challenges in leadership through AI adoption?
Stage 3: Introduction as an author
- What is fail fast, earn faster?
- Why write this book?
- How has leadership evolved in the age of data, analytics, and AI?
- What is the recipe for a well-managed AI organization?
- If you are an AI startup, how you should look at your leadership?
- If you are an experienced leader, how would you understand leadership through post-AI times?
- AI + Business, will make it more science or art?
- Can AI be a competitive edge to a leader? How much AI is too much AI?
Stage 4: Rapid Fire [Say what comes to your mind]
17 a. #MachineLearning
17 b. #Technology
17 c. #Leadership
17 d. #FutureOfWork
17 e. #Culture
17 f. #DigitalTransformation
17 g. #Disruption
17 h. #JobsOfFuture
17 i. #FutureofStartup
17 j. #FutureofOrganization
17 k. #Data Driven Leader
Stage 5: Closing
- What are 1-3 best practices that you think are the key to success in your journey?
- Do you have any favorite read?
- As a closing remark, what would you like to tell our audience?
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