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Managing Data Labeling Ops for Success with Audrey Smith - #583

2022-07-18 · 47 min · episode 583 · 16 entities

episode page audio

Asserted relationships

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    Managing Data Labeling Ops for Success with Audrey Smith - #583
  • → hosted by Sam Charrington person
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    Feed author/publisher: Sam Charrington
  • → works at MLtwist company
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    COO at MLtwist
  • → works at MLtwist company
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    COO at MLtwist
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    Feed category: Science
  • → discusses Technology company
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    Feed category: Tech News
  • → hosted by TWIML company
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    Feed author/publisher: TWIML

Entities found in this episode

companys 7

  • mentioned TWIML company
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    Feed author/publisher: TWIML
  • mentioned MLtwist company
    0.62
    evidence rules-v4
    COO at MLtwist
  • mentioned Technology company
    0.50
    evidence rules-v4
    Feed category: Technology
  • works at MLtwist company
    0.50
    evidence rules-v4
    COO at MLtwist
  • works at MLtwist company
    0.50
    evidence rules-v4
    COO at MLtwist
  • discusses Technology company
    0.40
    evidence rules-v4
    Feed category: Technology
  • hosted by TWIML company
    0.40
    evidence rules-v4
    Feed author/publisher: TWIML

concepts 5

  • mentioned Science concept
    0.50
    evidence rules-v4
    Feed category: Science
  • mentioned Tech News concept
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    evidence rules-v4
    Feed category: Tech News
  • discusses Science concept
    0.40
    evidence rules-v4
    Feed category: Science
  • discusses News concept
    0.40
    evidence rules-v4
    Feed category: News
  • discusses Tech News concept
    0.40
    evidence rules-v4
    Feed category: Tech News

persons 3

  • mentioned Audrey Smith person
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    evidence rules-v4
    Managing Data Labeling Ops for Success with Audrey Smith - #583
  • mentioned Sam Charrington person
    0.70
    evidence rules-v4
    Feed author/publisher: Sam Charrington
  • hosted by Sam Charrington person
    0.55
    evidence rules-v4
    Feed author/publisher: Sam Charrington

podcasts 1

Episode description as stored
Today we continue our Data-Centric AI Series joined by Audrey Smith, the COO at MLtwist, and a recent participant in our panel on DCAI. In our conversation, we do a deep dive into data labeling for ML, exploring the typical journey for an organization to get started with labeling, her experience when making decisions around in-house vs outsourced labeling, and what commitments need to be made to achieve high-quality labels. We discuss how organizations that have made significant investments in labelops typically function, how someone working on an in-house labeling team approaches new projects, the ethical considerations that need to be taken for remote labeling workforces, and much more! The complete show notes for this episode can be found at twimlai.com/go/583