Navigating Organizational Barriers by Doing MLOps With Leanne Kim Fitzpatrick 🔎🔍
🎞️ · 22.05.2023 · 16:21:25 ··· Montag ⭐ 0 🎬 0
📺neptune_ai
🎬 · 22.05.2023 · 16:21:25 ··· Montag
😎 · 03.07.2024 · 15:40:29 ··· MiTTwoch
On this episode of MLOps Live, we have Leanne Kim Fitzpatrick as our guest. Leanne shares her experience and answers your questions about navigating organizational barriers by doing MLOps.
MLOps Live is a biweekly Q&A show where practitioners doing ML at a reasonable scale answer questions from other ML practitioners. Every episode focused on one specific subject related to MLOps. Only the juicy bits, the things you won’t find in a company blog post.
00:00 Introduction to MLOps Live
01:17 Is there a learning curve working in data science at Financial Times?
05:16 How do the people, technology, and processes work?
06:34 What is the role of MLOps at Financial Times?
09:36 Why doesn’t Financial Times use generative AI?
11:22 Is content analytics a new department at Financial Times?
12:48 What are data analytics teams like?
17:01 What’s the difference between working with data science in the journalism industry vs. in a tech company?
19:38 How different is the MLOps process at Financial Times?
22:51 Are there any harsh realities of what it’s like to be a data scientist?
25:58 Managing hybrid and remote teams - is it difficult?
And more!
Learn more about Leanne Kim Fitzpatrick:
Leanne's LinkedIn: https://buff.ly/3BLE1Fh
Episode Resources:
Financial Times: https://buff.ly/3WpWv7L
TensorFlow: https://buff.ly/3XUFJxs
PyTorch: https://buff.ly/2rvvpP6
Follow us & stay updated:
► Linkedin: https://buff.ly/41gEjzd
► Twitter: https://buff.ly/3n2Duer
► MLOps Community: (#neptune-ai)
► Github: https://buff.ly/41leUo0
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· 22.05.2023 · 16:21:25 ··· Montag
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