Episode 9: Why 90% of Data Science Fails—And How to Fix It -- With Eric Colson

High Signal: Data Science | Career | AI

#Tech #Delphina #Data #Data Science #Machine Learning #Business

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Send us a text On this very funny short Bonus Show, standup comic Mack Dryden shares his story about going to the Dentist...you'll never believe what happens...Hilarious! Look for Mack Dryden's "NEW" Dry Bar Comedy Special... Please Listen, Enjoy, and Share where you can...Thanks!! Support the show Standup Comedy Podcast Network.co www.StandupComedyPodcastNetwork.com Free APP on all Apple & Android phones....check it out, podcast, jokes, blogs, and More! For short-form standup comedy sets, listen to: "Comedy Appeteasers" , available on all platforms. New YouTube site: https://www.youtube.com/@standupcomedyyourhostandmc/videos Videos of comics live on stage from back in the day. Please Write a Review: in-depth walk-through for leaving a review. Interested in Standup Comedy? Check out my books on Amazon... "20 Questions Answered about Being a Standup Comic" "Be a Standup Comic...or just look like one"…

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MP3•Pagina episodului

In this episode of High Signal, Eric Colson—former Chief Algorithms Officer at Stitch Fix and VP of Data Science and Machine Learning at Netflix—breaks down why most companies fail to unlock the full potential of their data science teams. Drawing from years of experience leading data functions at top tech companies, Eric shares how organizations can shift from treating data scientists as a service function to empowering them as strategic drivers of business impact.

Key topics from the conversation include:

Data Science as a Strategic Function: Why many companies limit their data teams to answering business requests instead of leveraging their ideas for competitive advantage.
Beyond Skills—The Power of Cognitive Repertoires: How data scientists' unique ways of framing problems can lead to breakthrough innovations.
Trial and Error as a Competitive Advantage: Why most experiments fail—but scaling experimentation is the key to big wins.
Decoupling Algorithms from Applications: How separating data science from engineering enables rapid iteration and direct business impact.
Shifting from Cost Center to Revenue Generator: Practical steps for structuring data teams to drive measurable value and long-term success.

💡 Tune in to learn how leading companies structure their data teams for impact, why experimentation beats rigid planning, and how treating data science as a strategic function can unlock new business opportunities.

You can find more on our website: https://high-signal.delphina.ai/

SHOW NOTES

11 episoade

Episode 9: Why 90% of Data Science Fails—And How to Fix It -- With Eric Colson

High Signal: Data Science | Career | AI

published acum un an

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MP3•Pagina episodului

Key topics from the conversation include:

Data Science as a Strategic Function: Why many companies limit their data teams to answering business requests instead of leveraging their ideas for competitive advantage.
Beyond Skills—The Power of Cognitive Repertoires: How data scientists' unique ways of framing problems can lead to breakthrough innovations.
Trial and Error as a Competitive Advantage: Why most experiments fail—but scaling experimentation is the key to big wins.
Decoupling Algorithms from Applications: How separating data science from engineering enables rapid iteration and direct business impact.
Shifting from Cost Center to Revenue Generator: Practical steps for structuring data teams to drive measurable value and long-term success.

You can find more on our website: https://high-signal.delphina.ai/

SHOW NOTES

11 episoade

#Tech #Delphina #Data #Data Science #Machine Learning #Business

Toate episoadele

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Episode 11: What Comes After Code? The Role of Engineers in an AI-Driven Future 1:05:44

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Episode 9: Why 90% of Data Science Fails—And How to Fix It -- With Eric Colson 1:09:40

acum 5 weeks1:09:40

1:09:40

In this episode of High Signal , Eric Colson—former Chief Algorithms Officer at Stitch Fix and VP of Data Science and Machine Learning at Netflix—breaks down why most companies fail to unlock the full potential of their data science teams. Drawing from years of experience leading data functions at top tech companies, Eric shares how organizations can shift from treating data scientists as a service function to empowering them as strategic drivers of business impact. Key topics from the conversation include: Data Science as a Strategic Function : Why many companies limit their data teams to answering business requests instead of leveraging their ideas for competitive advantage. Beyond Skills—The Power of Cognitive Repertoires : How data scientists' unique ways of framing problems can lead to breakthrough innovations. Trial and Error as a Competitive Advantage : Why most experiments fail—but scaling experimentation is the key to big wins. Decoupling Algorithms from Applications : How separating data science from engineering enables rapid iteration and direct business impact. Shifting from Cost Center to Revenue Generator : Practical steps for structuring data teams to drive measurable value and long-term success. 💡 Tune in to learn how leading companies structure their data teams for impact, why experimentation beats rigid planning, and how treating data science as a strategic function can unlock new business opportunities. You can find more on our website: https://high-signal.delphina.ai/ SHOW NOTES Eric on LinkedIn Beyond Skills: Unlocking the Full Potential of Data Scientists by Eric Colson MultiThreaded: Technology at StitchFix A/B Testing with Fat Tails by Azevedo et al.…

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