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Marily is a computer scientist and an AI Product Leader currently working for Meta\u2019s reality labs, and previously at Google for 8 years. In 2014 she completed a PhD in Machine Learning. She is also an Executive\xa0Fellow at Harvard Business School and she has taught numerous courses, actively teaching AI Product Management on Maven and at Harvard. Marily joins us in today's episode to shed light on the role of AI in product management. She shares her insights on how AI is empowering her work, and why she believes that every Product Manager will be an AI Product Manager in the future. We also discuss why PM\u2019s should learn a bit of coding, where they can learn it, and best practices for working with data scientists. Marily shares some insight into building her AI Product Management course and also why she full-heartedly believes you should also create your own course.

Find the full transcript here: https://www.lennyspodcast.com/ai-and-product-management-marily-nika-meta-google/#transcript

Where to find Marily Nika:

\u2022 Instagram: http://www.instagram.com/marilynika

\u2022 LinkedIn: https://www.linkedin.com/in/marilynika/

\u2022 YouTube: https://www.youtube.com/c/MarilyNikaPM

\u2022 Website: https://bio.link/marilynika

Where to find Lenny:

\u2022 Newsletter: https://www.lennysnewsletter.com

\u2022 Twitter: https://twitter.com/lennysan

\u2022 LinkedIn: https://www.linkedin.com/in/lennyrachitsky/

Referenced:

\u2022 The Download newsletter: https://www.technologyreview.com/topic/download-newsletter/

\u2022 TLDR newsletter: https://tldr.tech/

\u2022 ChatGPT: https://chat.openai.com/auth/login

\u2022 MidJourney: https://midjourney.com/home/

\u2022 Whisper: https://whisper.ai/

\u2022 Machine Learning Specialization course: https://www.coursera.org/specializations/machine-learning-introduction

\u2022 Career Foundry: https://careerfoundry.com/

\u2022 Coding Dojo: https://www.codingdojo.com/

\u2022 Building AI Products\u2014For Current & Aspiring Product Managers course on Maven: https://maven.com/marily-nika/technical-product-management

\u2022 arXiv: https://arxiv.org/

\u2022 Marginal Revolution blog: https://marginalrevolution.com/

\u2022 Automl: https://cloud.google.com/automl

\u2022 Inspired: How to Create Tech Products Customers Love: https://www.amazon.com/INSPIRED-Create-Tech-Products-Customers/dp/1119387507

\u2022 You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It\u2019s Making the World a Weirder Place: https://www.amazon.com/You-Look-Like-Thing-Love/dp/0316525227

\u2022\xa0The Adventures of Women in Tech Workbook: A Life-Tested Guide to Building Your Career: https://www.amazon.com/Adventures-Women-Tech-Workbook/dp/1646871022

\u2022\xa0Boz to the Future podcast: https://podcasts.apple.com/us/podcast/boz-to-the-future/id1574002430

\u2022\xa0The White Lotus on HBO: https://www.hbo.com/the-white-lotus

\u2022\xa0Lensa: https://apps.apple.com/us/app/lensa-ai-photo-video-editor/id1436732536

In this episode, we cover:

(00:00) Marily\u2019s background

(03:20) How Marily stays informed about the latest developments in AI

(04:46) What is overhyped and underhyped in AI right now

(05:59) How Marily uses ChatGPT for work

(08:25) Why product managers will be AI product managers in the future

(11:16) How to get started using AI

(14:12) When not to use AI

(15:47) How much data do you need for AI to work properly?

(17:01) When should companies develop their own AI tools?

(18:35) What an AI model is and how it is trained

(21:25) How Google demonstrated the ability of AI to translate a conversation in real time

(23:02) Why AI will not replace PMs

(23:48) A case for learning to code

(26:21) Where to learn to code

(27:40) How to become a strong AI PM

(29:25) Challenges that AI PMs face

(31:16) Getting leadership on board with investing in AI

(33:10) How PMs will work with data scientists and AI

(35:29) Marily\u2019s AI course

(39:12) AutoML and how a renewable-energy company used it to improve its turbine maintenance procedure

(40:31) How Marily built her course and the modifications she has made

(42:53) Why you should create your own course

(44:08) Lightning round

Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.