High Risk/High Reward: Stories from my Life in Technology

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Creator:

Rich Sadowsky

Technology
Human Resources

HR Management

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Podcast data

Created By Rich Sadowsky

Podcast Status active

Started 03/10/2018

Latest Episode 03/10/2018

Release Period Episodic

Episodes 39

Partner Reviews 2

Language English

Frequency 586

Average Length 40 minutes and 1 seconds

Country United States

Global Rank TOP 1%

Description

High Risk/High Reward: Stories from a Life in Technology by Rich Sadowsky. A look back at four decades of working on the development of award winning software and disruptive emerging technologies. You may not know Rich by name, but you've used his software. He shares his thoughts on topics such as: innovation, user privacy, security and threats, business ethics, early stage startups, entrepreneurship, management, cross functional teamwork, fundraising, IoT, and riding out the birth of the web. He talks about how to attract and land fantastic opportunities and how to own your role. The stories are entertaining, informative and often funny. Rich lets his passion mixed in with doses of silliness shine through. Topics range over his 40 years of working on some of the most amazing products. For 2020 the stories will be published in more concise, 30 minute episodes.
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Episodes
- #618127 - Death Penalty Murder Trial
  
  6 years ago
- #618126 - Advice I Didn't Take: Don't Read Reddit
  
  6 years ago
- #618125 - You Can't Please Everyone
  
  6 years ago
- #618124 - Jibo: I Heard It Through The Grapevine
  
  6 years ago
- #618123 - Interesting People: Tanya and Adam
  
  6 years ago
Reviews
- There are no reviews yet
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High Risk/High Reward: Stories from my Life in Technology

High Risk/High Reward: Stories from my Life in Technology

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Podcast data

Description

Agent Outreach

Episodes

#618127 - Death Penalty Murder Trial

#618126 - Advice I Didn't Take: Don't Read Reddit

#618125 - You Can't Please Everyone

#618124 - Jibo: I Heard It Through The Grapevine

#618123 - Interesting People: Tanya and Adam

Reviews

Podcasts like this

Wharton FinTech Podcast

Wharton FinTech Podcast

Data Stories

Data Stories

In Machines We Trust

In Machines We Trust

The Local Maximum

The Local Maximum

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