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Managing Data Labeling Ops for Success with Audrey Smith - #583
Manage episode 334714971 series 2355587
Conteúdo fornecido por TWIML and Sam Charrington. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por TWIML and Sam Charrington ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.
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
701 episódios
Managing Data Labeling Ops for Success with Audrey Smith - #583
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Manage episode 334714971 series 2355587
Conteúdo fornecido por TWIML and Sam Charrington. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por TWIML and Sam Charrington ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.
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
701 episódios
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Parecido com The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Hungry for Technology Talk? Get All You Can Eat at the Android Buffet
…
continue reading
Discover a whole new take on Artificial Intelligence with Squirro's educational podcast! Join host Lauren Hawker Zafer, a top voice in Artificial Intelligence on LinkedIn, for insightful chats that unravel the fascinating world of tech innovation, use case exploration and AI knowledge. Dive into candid discussions with accomplished industry experts and established academics. With each episode, you'll expand your grasp of cutting-edge technologies and their incredible impact on society, and y ...
…
continue reading
Show notes are at https://stevelitchfield.com/sshow/chat.html
…
continue reading
A weekly podcast show about Indian startups, entrepreneurs, and more! Hosted by Neil Patel & Friends
…
continue reading
The award-winning WIRED UK Podcast with James Temperton and the rest of the team. Listen every week for the an informed and entertaining rundown of latest technology, science, business and culture news. New episodes every Friday.
…
continue reading
The Data Skeptic Podcast features interviews and discussion of topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying critical thinking and the scientific method to evaluate the veracity of claims and efficacy of approaches.
…
continue reading
Agile for Humans™ is a weekly podcast dedicated to the individuals and interactions that make agile work. The goal is to help create safe and collaborative working environments where people are empowered to do their best work.
…
continue reading
Every Friday and Sunday, Slate’s popular daily news podcast What Next brings you TBD, a clear-eyed look into the future. From fake news to fake meat, algorithms to augmented reality, Lizzie O’Leary is your guide to the tech industry and the world it’s creating for us to live in.
…
continue reading
Why do only 10% of companies succeed with AI? In this series by MIT SMR and BCG, we talk to the leaders who've achieved big wins with AI in their companies and learn how they did it. Hear what gets experts from companies like NASA, Shopify, and others excited to do their jobs every day and what they consider the keys to their success.
…
continue reading
Monday through Friday, Marketplace demystifies the digital economy in less than 10 minutes. We look past the hype and ask tough questions about an industry that’s constantly changing.
…
continue reading
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