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.

Randy’s Book:
Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI by Randy Bean

Podcast Link:

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.

Questions Addressed:
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

  1. What is the state of startups in data-driven times today?
  2. State of leadership in a data mature organization?
  3. AI and Enterprise outlook? Cautionary tale or hopeful story
  4. Who will win the AI race?
  5. Challenges in leadership through AI adoption?

Stage 3: Introduction as an author

  1. What is fail fast, earn faster?
  2. Why write this book?
  3. How has leadership evolved in the age of data, analytics, and AI?
  4. What is the recipe for a well-managed AI organization?
  5. If you are an AI startup, how you should look at your leadership?
  6. If you are an experienced leader, how would you understand leadership through post-AI times?
  7. AI + Business, will make it more science or art?
  8. 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

  1. What are 1-3 best practices that you think are the key to success in your journey?
  2. Do you have any favorite read?
  3. As a closing remark, what would you like to tell our audience?

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