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    Human Factors in Machine Intelligence with James Guszcza

    As you all know, a few weeks ago, I spent some time in SF at the Artificial Intelligence Conference. While there, I sat down with James Guszcza, US Chief Data Scientist at Deloitte Consulting to talk about human factors in machine intelligence. James was in San Francisco to give a talk at the O’Reilly AI Conference on “Why AI needs human-centered design.”

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    Machine Teaching for Better Machine Learning with Mark Hammond
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    Today’s show, which concludes the first season of the Industrial AI Series, features my interview with Bonsai co-founder and CEO Mark Hammond. Mark describes the role of what he calls “machine teaching” in delivering practical machine learning solutions, particularly for enterprise or industrial AI use cases.

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    Marrying Physics-Based and Data Driven ML Models with Josh Bloom
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    This week we catch up with friend of the show, and first return guest, Josh Bloom, vice president of data & analytics at GE Digital. We catch up with Josh on his journey within GE and the work his team is doing around Industrial AI.

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    Cognitive Biases in Data Science with Drew Conway
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    This show features my interview with Drew Conway, Founder and CEO of Alluvium. The focus of our interview, and of Drew’s presentation, is an interesting set of observations he makes about the role of cognitive biases in data science.

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    Data Pipelines at Zymergen with Airflow with Erin Shellman
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    This show, TWiML Talk 41, features my interview with Erin Shellman, a statistician and data science manager with Zymergen, a company using robots and machine learning to engineer better microbes.

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    Web Scale Engineering for Machine Learning with Sharath Rao
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    The show you’re about to listen to features my interview with Sharath Rao, Tech Lead Manager & Machine Learning Engineer at Instacart. My conversation with him digs into some of the practical lessons and patterns he’s learned by building production-ready, web-scale data products based on machine learning models.

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    Deep Learning for Warehouse Operations with Calvin Seward
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    This week we continue our Industrial AI series with Calvin Seward, Research Scientist with Zalando in Berlin, Germany. We focus on how Calvin’s team tackled an interesting warehouse optimization problem using deep learning. Calvin also gives his thoughts on the distinction between AI and ML, and the four P’s that he focuses on: Prestige, Products, Paper, and Patents.

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    Deep Robotic Learning with Sergey Levine
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    This week we continue our Industrial AI series with Sergey Levine, an Assistant Professor at UC Berkeley whose research focus is Deep Robotic Learning. Sergey is part of the same research team as a couple of our previous guests in this series, Chelsea Finn and Pieter Abbeel, and if the response we’ve seen to those shows is any indication, you’re going to love this episode!

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    Smart Buildings & IoT with Yodit Stanton
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    Our guest this week is Yodit Stanton, a self-described Data Nerd, and the Founder & CEO of Opensensors.io. Our discussion focuses on Smart Buildings and how they’re enabled by IoT and machine learning techniques.

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    Naveen Rao & Hanlin Tang – Intel Nervana Update + Productizing AI Research
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    I was super excited to have an opportunity to sit down with Nervana co-founder Naveen Rao, who now leads Intel’s newly formed AI Products Group, and Hanlin Tang, an algorithms engineer at Intel’s AIPG, about two tools announced at the conference: version 2.0 of Intel Nervana’s deep learning framework Neon and the Nervana Graph.

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    Doug Eck – Expressive AI-Generated Music with Google’s Performance RNN
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    My guest for this second show in our O’Reilly AI series is Doug Eck of Google Brain. Doug did a keynote at the O’Reilly conference on Magenta, Google’s project for melding machine learning and the arts. Magenta’s goal is to produce open-source tools and models that help people in their personal creative processes. We talk about the newly announced Performance RNN project, which uses neural networks to create expressive, AI-generated music.

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    Ben Vigoda – The Power of Probabilistic Programming
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    My guest for this third episode in the O’Reilly AI series is Ben Vigoda. Ben is the founder and CEO of Gamalon, a DARPA-funded startup working on Bayesian Program Synthesis. We dive into what exactly this means and how it enables what Ben calls idea learning in the show.

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    Rana el Kaliouby – Enhancing Customer Experiences with Emotional AI
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    My guest for this show is Rana el Kaliouby. Rana is co-founder and CEO of Affectiva. Affectiva, as Rana puts it, “is on a mission to humanize technology by bringing in artificial emotional intelligence”. My conversation with Rana focuses on how her company is bringing Artificial Emotional Intelligence services to market.

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