Episode 14 — Drew Conway
“A well-articulated business problem is an essential first-step to any successful data science endeavor” – Drew Conway
Today, Drew is the Founder & CEO of Alluvium: a company using machine learning and AI to turn massive streams of data produced by industrial operations companies into insights that bridge the gap between big data and human expertise.
Designed with the goal of helping industrial operations become safer, more efficient and more profitable, the Alluvium platform makes industrial machine data meaningful and useful to the people who rely on it to make decisions that affect the stability of their operation.
Before starting Alluvium in 2015, Drew helped start:
- Data Gotham: an organization focused on supporting the NYC data community, with an annual conference bringing together people from all industries
- DataKind: a non-profit that brings high-impact organizations together with leading data scientists to use data science in the service of humanity. They enable data scientists and social changemakers to address tough humanitarian challenges together, ranging from education to poverty, health to human rights, and the environment to cities.
After starting the conversation by exploring Drew’s early years, we focused most of the dialogue around his (quite frankly, brilliant) thought process around identifying the highest-impact, most-needed applications for data science across problem spaces.
Some of my favorite talking points included:
- Why “force of will” and a “tendency toward combativeness” were key to Drew’s early development and overcoming imposter syndrome
- Lessons learned from his 4th grade teacher who told him he was bad at math and an AAU basketball coach who made his team find their way home from the outskirts of Las Vegas
- The questions Drew asks executives who tell him they want to hire a data science team, how he recommends they avoid being “seduced by the industry” and “return back to first principles”
- Drew’s process for determining new applications for data science within various industries
- The three-question mental model Drew used to identify Alluvium’s first major product offering: business problem → data available → human support
- Alluvium’s team-building and hiring philosophy, how it’s evolved from day one until today
- The story behind DataKind, how he and his team decided what nonprofits to start by working with, and the step-by-step process they took to testing their assumptions
Enjoy the show!
Show Notes: https://ajgoldstein.com/podcast/ep14/
Drew’s LinkedIn: https://www.linkedin.com/in/drew-conway-13b5b013/
Drew’s Twitter: https://twitter.com/drewconway
Drew’s Wikipedia: https://en.wikipedia.org/wiki/Drew_Conway
Listen or Subscribe
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…or by searching “Data Journeys” on virtually any podcasting platform
Links from the Episode
- Chris Bethel’s Linkedin
- The Data Science Venn Diagram
- Google X – The Moonshot Factory
- Volunteer With Data Kind
- Gödel, Escher, Bach: An Eternal Golden Braid
- The Usual Suspects
- Tarantino Films
- 30 For 30 ESPN
- Bob Gates
Questions or Suggestions?
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