Engineering Production NLP Systems at T-Mobile with Heather Nolis - #600

Engineering Production NLP Systems at T-Mobile with Heather Nolis - #600

Today we’re joined by Heather Nolis, a principal machine learning engineer at T-Mobile. In our conversation with Heather, we explored her machine learning journey at T-Mobile, including their initial proof of concept project, which held the goal of putting their first real-time deep learning model into production. We discuss the use case, which aimed to build a model customer intent model that would pull relevant information about a customer during conversations with customer support. This process has now become widely known as blank assist. We also discuss the decision to use supervised learning to solve this problem and the challenges they faced when developing a taxonomy. Finally, we explore the idea of using small models vs uber-large models, the hardware being used to stand up their infrastructure, and how Heather thinks about the age-old question of build vs buy.

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Information Extraction from Natural Document Formats with David Rosenberg - TWiML Talk #126

Information Extraction from Natural Document Formats with David Rosenberg - TWiML Talk #126

In this episode, I’m joined by David Rosenberg, data scientist in the office of the CTO at financial publisher Bloomberg, to discuss his work on “Extracting Data from Tables and Charts in Natural Docu...

9 Apr 201845min

Human-in-the-Loop AI for Emergency Response & More w/ Robert Munro - TWiML Talk #125

Human-in-the-Loop AI for Emergency Response & More w/ Robert Munro - TWiML Talk #125

In this episode, I chat with Rob Munro, CTO of the newly branded Figure Eight, formerly known as CrowdFlower. Figure Eight’s Human-in-the-Loop AI platform supports data science & machine learning team...

5 Apr 201848min

Systems and Software for Machine Learning at Scale with Jeff Dean - TWiML Talk #124

Systems and Software for Machine Learning at Scale with Jeff Dean - TWiML Talk #124

In this episode I’m joined by Jeff Dean, Google Senior Fellow and head of the company’s deep learning research team Google Brain, who I had a chance to sit down with last week at the Googleplex in Mou...

2 Apr 201854min

Semantic Segmentation of 3D Point Clouds with Lyne Tchapmi - TWiML Talk #123

Semantic Segmentation of 3D Point Clouds with Lyne Tchapmi - TWiML Talk #123

In this episode I’m joined by Lyne Tchapmi, PhD student in the Stanford Computational Vision and Geometry Lab, to discuss her paper, “SEGCloud: Semantic Segmentation of 3D Point Clouds.” SEGCloud is a...

29 Mar 201836min

Predicting Cardiovascular Risk Factors from Eye Images with Ryan Poplin - TWiML Talk #122

Predicting Cardiovascular Risk Factors from Eye Images with Ryan Poplin - TWiML Talk #122

In this episode, I'm joined by Google Research Scientist Ryan Poplin, who recently co-authored the paper “Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning.” ...

26 Mar 201842min

Reproducibility and the Philosophy of Data with Clare Gollnick - TWiML Talk #121

Reproducibility and the Philosophy of Data with Clare Gollnick - TWiML Talk #121

In this episode, i'm joined by Clare Gollnick, CTO of Terbium Labs, to discuss her thoughts on the “reproducibility crisis” currently haunting the scientific landscape. For a little background, a “Nat...

22 Mar 201838min

Surveying the Connected Car Landscape with GK Senthil - TWiML Talk #120

Surveying the Connected Car Landscape with GK Senthil - TWiML Talk #120

In this episode, I’m joined by GK Senthil, director & chief product owner for innovation at Toyota Connected. GK and I spoke about some of the potential opportunities and challenges for smart cars. We...

19 Mar 201830min

Adversarial Attacks Against Reinforcement Learning Agents with Ian Goodfellow & Sandy Huang

Adversarial Attacks Against Reinforcement Learning Agents with Ian Goodfellow & Sandy Huang

In this episode, I’m joined by Ian Goodfellow, Staff Research Scientist at Google Brain and Sandy Huang, Phd Student in the EECS department at UC Berkeley, to discuss their work on the paper Adversari...

15 Mar 201847min

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