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Outliers is a podcast that brings you stories and lessons from the frontlines of artificial intelligence and machine learning. We take you behind the scenes, featuring pioneers who are pushing the boundaries of what's possible and solving some of the world’s most complex challenges. From enterprise applications to cutting-edge research, we dive deep into the innovations shaping the future. Whether you're a seasoned data scientist, ML engineer, or simply curious about the evolving AI landscape, join us for conversations that uncover the breakthroughs, tools, and ideas driving the next wave of technology.
진행자:
평균 오디오 길이:
54 minutes
게스트 인터뷰
스폰서 있음
영어
미국
에피소드 10 개
2024년 10월 18일부터
episodic
최신 에피소드 🔗
Federico Bianchi, a post-doctoral researcher at Stanford University, joins Hugo Bowne-Anderson to discuss the current state of large language models (LLMs) and their potential for sustainable business value. They explore the capabilities and limitations of LLMs, practical ways to get started with t…
이전 에피소드 🔗
Ines Montani, co-founder and CEO of Explosion — the company behind spaCy and Prodigy — joins Hugo Bowne-Anderson to discuss the journey of taking NLP from prototype to production. They explore the key trends, use cases, and challenges that arise when building and scaling NLP systems, including insi…
Ethan Rosenthal, a data scientist at Square with a PhD in Physics from Columbia University, joins Hugo Bowne-Anderson to dive into the complexities of the full stack of machine learning. From feature stores to model monitoring and experiment tracking, Ethan sheds light on the essential tools, abstr…
Russell Brooks, Principal Machine Learning Engineer at Realtor.com, joins Hugo Bowne-Anderson to discuss what it takes to build an enterprise ML platform from scratch. Russell shares his experiences at OpCity and Realtor.com, where he successfully scaled their ML operations from a small team to rep…
This episode features Shreya Shankar, a PhD student at UC Berkeley and former ML engineer at Viaduct, Google Brain, and Facebook. Shreya joins Hugo Bowne-Anderson to discuss key insights from her team’s paper Operationalizing Machine Learning: An Interview Study, which uncovers common practices and…
This episode features a special panel discussion with Chip Huyen, co-founder and CEO of Claypot.io, and Ville Tuulos, co-founder and CEO of Outerbounds. They discuss their new books, Designing Machine Learning Systems and Effective Data Science Infrastructure, respectively, which aim to fill a grow…
In this episode, Michelle Carney, a Senior UX Researcher on Google’s TensorFlow team, joins Hugo Bowne-Anderson to discuss how combining ML and user experience (UX) creates more impactful products. Michelle shares why UX should be a top consideration for data scientists and ML practitioners and off…
Hugo Bowne-Anderson sits down with Jacopo Tagliabue, Director of A.I. at Coveo, to discuss "reasonable scale" machine learning. Unlike FAANG companies, most organizations don’t need to operate ML at enormous scale, and that’s perfectly okay. Jacopo and Hugo explore what ML looks like for most compa…
Hugo Bowne-Anderson chats with Goku Mohandas, founder of Made With ML and former machine learning engineer at Apple and Ciitizen. Together, they discuss the journey from laptop data science to deploying ML in production for both organizations and individual data scientists. You'll gain insights int…
Welcome to the very first episode of Outliers by Outerbounds! In this series, we explore the cutting edge of machine learning, data science, and MLOps, featuring insights from experts who are pushing the boundaries of AI and ML.
In this inaugural episode, Hilary Parker—data scientist and independe…
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