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Conversations with the people building AI

Trust and AI with Parinaz Sobhani - TWiML Talk #208

Trust and AI with Parinaz Sobhani - TWiML Talk #208

In today’s episode we’re joined by Parinaz Sobhani, Director of Machine Learning at Georgian Partners. In our conversation, Parinaz and I discuss some of the main issues falling under the “trust” umbrella, such as transparency, fairness and accountability. We also explore some of the trust-related projects she and her…

46 MinutesThe TWIML AI Podcast

So you have an AI model, now what?

So you have an AI model, now what?

Fully Connected – a series where Chris and Daniel keep you up to date with everything that’s happening in the AI community. This week we discuss all things inference, which involves utilizing an already trained AI model and integrating it into the software stack. First, we focus on some new hardware from Amazon for…

40 MinutesPractical AI

Unbiased Learning from Biased User Feedback with Thorsten Joachims - TWiML Talk #207

Unbiased Learning from Biased User Feedback with Thorsten Joachims - TWiML Talk #207

In the final episode of our re:Invent series, we're joined by Thorsten Joachims, Professor in the Department of Computer Science at Cornell University. We discuss his presentation “Unbiased Learning from Biased User Feedback,” looking at some of the inherent and introduced biases in recommender systems, and the ways…

41 MinutesThe TWIML AI Podcast

Language Parsing and Character Mining with Jinho Choi - TWiML Talk #206

Language Parsing and Character Mining with Jinho Choi - TWiML Talk #206

Today we’re joined by Jinho Choi, assistant professor of computer science at Emory University. Jinho presented at the conference on ELIT, their cloud-based NLP platform. In our conversation, we discuss some of the key NLP challenges that Jinho and his group are tackling, including language parsing and character…

48 MinutesThe TWIML AI Podcast

Pachyderm's Kubernetes-based infrastructure for AI

Pachyderm's Kubernetes-based infrastructure for AI

Joe Doliner (JD) joined the show to talk about productionizing ML/AI with Pachyderm, an open source data science platform built on Kubernetes (k8s). We talked through the origins of Pachyderm, challenges associated with creating infrastructure for machine learning, and data and model versioning/provenance. He also…

42 MinutesPractical AI

Knowledge Graphs and Expert Augmentation with Marisa Boston - TWiML Talk #204

Knowledge Graphs and Expert Augmentation with Marisa Boston - TWiML Talk #204

Today we’re joined by Marisa Boston, Director of Cognitive Technology in KPMG’s Cognitive Automation Lab. We caught up to discuss some of the ways that KPMG is using AI to build tools that help augment the knowledge of their teams of professionals. We discuss knowledge graphs and how they can be used to map out and…

47 MinutesThe TWIML AI Podcast

BERT: one NLP model to rule them all

BERT: one NLP model to rule them all

Fully Connected – a series where Chris and Daniel keep you up to date with everything that’s happening in the AI community. This week we discuss BERT, a new method of pre-training language representations from Google for natural language processing (NLP) tasks. Then we tackle Facebook’s Horizon, the first open source…

39 MinutesPractical AI

Industrializing Machine Learning at Shell with Daniel Jeavons - TWiML Talk #202

Industrializing Machine Learning at Shell with Daniel Jeavons - TWiML Talk #202

In this episode of our AI Platforms series, we’re joined by Daniel Jeavons, General Manager of Data Science at Shell. In our conversation, we explore the evolution of analytics and data science at Shell, discussing IoT-related applications and issues, such as inference at the edge, federated ML, and digital twins, all…

45 MinutesThe TWIML AI Podcast

UBER and Intel’s Machine Learning platforms

UBER and Intel’s Machine Learning platforms

We recently met up with Cormac Brick (Intel) and Mike Del Balso (Uber) at O’Reilly AI in SF. As the director of machine intelligence in Intel’s Movidius group, Cormac is an expert in porting deep learning models to all sorts of embedded devices (cameras, robots, drones, etc.). He helped us understand some of the…

29 MinutesPractical AI