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Utilizing Tech: The Podcast Series About Emerging Technology

Utilizing Tech: The Podcast Series About Emerging Technology

Technology

3x11: Putting Data Science Into Everyone's Hands with Amanda Kelly of Streamlit

3x11: Putting Data Science Into Everyone's Hands with Amanda Kelly of Streamlit

2021-11-16
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Data science and machine learning developments can't have an impact if they don't get into everyone's hands. In this episode, Amanda Kelly of Streamlit joins Chris Grundemann and Stephen Foskett to talk about the challenges and opportunities in bringing data science to everyone's hands. How can we enable marketing, sales, marketing, and other elements of the business to access data and make informed decisions themselves? Data science teams have to meet business people where they are to better answer their questions rather than trying to create a perfect model in a vacuum. Streamlit helps to productize python scripts with a complete and flexible front-end and easy deployment, making it easy to share and iterate. These micro apps foster collaboration and interaction between data science and the business.

Three Questions

  • Stephen: Is AI just a new aspect of data science or is it truly a unique field?
  • Chris: Can you think of an application for ML that has not yet been rolled out but will make a major impact in the future?
  • Leon Adato: What responsibility do you think IT folks have to insure the things that we build are ethical?

Gests and Hosts

  • Amanda Kelly, Co-Founder of Streamlit. Follow her thoughts on the Streamlit Blog.
  • Chris Grundemann, Gigaom Analyst and Managing Director at Grundemann Technology Solutions. Connect with Chris on ChrisGrundemann.com on Twitter at @ChrisGrundemann.
  • Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen’s writing at GestaltIT.com and on Twitter at @SFoskett.

Date: 11/16/2021

Tags: @streamlit, @SFoskett, @ChrisGrundemann

view more

More Episodes

03x28: Revisiting Utilizing AI Season 3
2022-04-25
3x27: Benchmarking AI with MLPerf
2022-04-12
3x26: DataOps - Putting the Data in Data Science
2022-03-29
3x25: The Unique Challenges of ML Training Data with Bin Fan
2022-03-15
3x24: Challenges of Building Successful ML Programs
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3x23: How Algorithmic Bias in ML Affects Marketing
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3x22: The State of AI and the Enterprise
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3x21: Under the Hood of the Data Engine with Speedb
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3x20: GPUs and AI accelerators - What is the difference?
2022-02-01
3x19: How AI Can Help in Medical Care and Pain Management with Sara E. Berger
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3x18: AI Everywhere, Even in Surprising Places with BrainChip
2022-01-18
3x17: Why the Heck Even Use Deep Learning?
2022-01-11
3x16: Utilizing AI in 2022 with Chris Grundemann and Frederic Van Haren
2022-01-04
3x15: Utilization of Shadow AI with Run: AI
2021-12-21
3x14: What Scares InfoSec About AI? With Girard Kavelines
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3x13: AI is a Creativity Maximizer with Ben Taylor of DataRobot
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3x12: Democratizing Unstructured Data at Scale with Edward Cui of Graviti
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3x10: Democratizing Data Infrastructure for ML with Melisa Tokmak of Scale AI
2021-11-09
3x09: Focusing MLOps on the Data Scientist with Adam Probst of ZenML
2021-11-02
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