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תוכן מסופק על ידי IBM Big Data & Analytics Hub, IBM Big Data, and Analytics Hub. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי IBM Big Data & Analytics Hub, IBM Big Data, and Analytics Hub או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.
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Al and Matt Cowell discuss defining data literacy, teaching products, and learning problems

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Manage episode 296291156 series 2715252
תוכן מסופק על ידי IBM Big Data & Analytics Hub, IBM Big Data, and Analytics Hub. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי IBM Big Data & Analytics Hub, IBM Big Data, and Analytics Hub או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.

Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next.
Abstract

Hosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.

This week on Making Data Simple, we have Matt Cowell. Matt serves as CEO at QuantHub, a leading data upskilling and assessment platform that helps companies create a data literate workforce across the entire enterprise. Matt uses his wealth of experience as a product and tech executive to forge the company strategy to address one of the most significant corporate challenges of the 2020’s, the data skill gap. Prior to QuantHub, Matt spent 15 years running product and tech at PE-backed companies, including building a product and engineering organization at Daxko - delivering 10x revenue growth, 7 acquisitions, and 3 enormously successful recapitalization. While at Daxko, Matt led the team to deliver the first machine learning/AI solution to the gym/fitness market. Matt is passionate about facilitating the data fluency of individuals and organizations all over the world and loves focusing on the people side of the equation.

Show Notes
2:25 – How do you go from SVP of Products to getting into the data learning business?

3:48 - How do you define data literacy?

5:50 – Do you teach the products?

7:36 - What’s out of scope?

12:50 – Client use case

18:07 – Solving learning problems

21:14 – What does a learning plan look like?

25:08 – Define Micro

30:20 – What’s the best way to learn?

33:14 – How do you measure success?

34:47 - Are you venture capital funded?

36:10 – Do you have a fundamental leadership belief?

38:24 – What skill do you value most in a leader?

QuantHub

Upskill quanthub

Monetizing innovation

Ultra Learning

Matt Cowell - LinkedIn

Connect with the Team
Producer Kate Brown - LinkedIn.
Producer Steve Templeton - LinkedIn.
Host Al Martin - LinkedIn and Twitter.

Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

  continue reading

294 פרקים

Artwork
iconשתפו
 
Manage episode 296291156 series 2715252
תוכן מסופק על ידי IBM Big Data & Analytics Hub, IBM Big Data, and Analytics Hub. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי IBM Big Data & Analytics Hub, IBM Big Data, and Analytics Hub או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.

Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next.
Abstract

Hosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.

This week on Making Data Simple, we have Matt Cowell. Matt serves as CEO at QuantHub, a leading data upskilling and assessment platform that helps companies create a data literate workforce across the entire enterprise. Matt uses his wealth of experience as a product and tech executive to forge the company strategy to address one of the most significant corporate challenges of the 2020’s, the data skill gap. Prior to QuantHub, Matt spent 15 years running product and tech at PE-backed companies, including building a product and engineering organization at Daxko - delivering 10x revenue growth, 7 acquisitions, and 3 enormously successful recapitalization. While at Daxko, Matt led the team to deliver the first machine learning/AI solution to the gym/fitness market. Matt is passionate about facilitating the data fluency of individuals and organizations all over the world and loves focusing on the people side of the equation.

Show Notes
2:25 – How do you go from SVP of Products to getting into the data learning business?

3:48 - How do you define data literacy?

5:50 – Do you teach the products?

7:36 - What’s out of scope?

12:50 – Client use case

18:07 – Solving learning problems

21:14 – What does a learning plan look like?

25:08 – Define Micro

30:20 – What’s the best way to learn?

33:14 – How do you measure success?

34:47 - Are you venture capital funded?

36:10 – Do you have a fundamental leadership belief?

38:24 – What skill do you value most in a leader?

QuantHub

Upskill quanthub

Monetizing innovation

Ultra Learning

Matt Cowell - LinkedIn

Connect with the Team
Producer Kate Brown - LinkedIn.
Producer Steve Templeton - LinkedIn.
Host Al Martin - LinkedIn and Twitter.

Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

  continue reading

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