loader from loading.io

Janeen Uzzell: Chapter 2: How to Weed the Bias out of AI

Machine Yearning

Release Date: 08/06/2018

Max Sklar: Full Interview show art Max Sklar: Full Interview

Machine Yearning

It’s Machine Yearning from Assist. Another week where we continue on this adventure where marketers, brands, and entrepreneurs get to have a place to think, dream, and ask questions about the future of AI, the talking internet, and how we’re reshaping our culture. This week is a rocket. And the rocket has a name. Max Sklar. Max is machine learning engineer at Foursquare and is a fountain of smart, concise thinking on privacy, social media and whether we’re looking at an imminent AI winter. Assist’s Shane Mac got so much goodness from his fellow podcaster. We think this is an...

info_outline
Max Sklar: Chapter 1: How to break through with recommendation, anticipation and product design show art Max Sklar: Chapter 1: How to break through with recommendation, anticipation and product design

Machine Yearning

This week is a rocket. And the rocket has a name. Max Sklar. Max is machine learning engineer at Foursquare and is a fountain of smart, concise thinking on recommendation, anticipation and how to break through with your product design. In this chapter from the longer podcast, Assist’s Shane Mac got so much goodness from his fellow podcaster. We think this is so packed with goodness you’ll want to give it a few listens and DEFINITELY share it with friends. Then…! Make sure you check out Max’s pod - The Local Maximum. It’s awesome.

info_outline
Max Sklar: Chapter 2: Fixing social and the unexpectedness metric show art Max Sklar: Chapter 2: Fixing social and the unexpectedness metric

Machine Yearning

This week is a rocket. And the rocket has a name. Max Sklar. Max is machine learning engineer at Foursquare and is a fountain of smart, concise thinking and in the next 11 minutes Max and Shane are going to help you sound smarter about the problems of social media. The objectivity/ subjectivity conundrum, language classifiers, tweaks to the recommender system - Max hones in on several of the Gordian Knots that keep us stuck. All of this has significant ramifications for everyone who is trying to figure out how to blend sentiment, community satisfaction and technology. In this chapter from the...

info_outline
Max Sklar: Chapter 3: The possibility of an AI winter and the challenges of multi-language NLP show art Max Sklar: Chapter 3: The possibility of an AI winter and the challenges of multi-language NLP

Machine Yearning

This week is a rocket. And the rocket has a name. Max Sklar. Max is machine learning engineer at Foursquare and is a fountain of smart, concise thinking on privacy, social media and whether we’re looking at an imminent AI winter. In this chapter from the longer podcast, Assist’s Shane Mac got so much goodness from his fellow podcaster. We think this is so packed with goodness you’ll want to give it a few listens and DEFINITELY share it with friends. Then…! Make sure you check out Max’s pod - The Local Maximum. It’s awesome.

info_outline
Deborah Dahl: Full Interview show art Deborah Dahl: Full Interview

Machine Yearning

A few episodes back, Machine Yearning brought you a series of conversations from the VOICE conference. With over 2000 attendees at the largest gathering of the conversational technology world, VOICE was intense. You heard from voice and machine learning powerhouses like Cathy Pearl from Google and Patricia Scanlon, who has built a natural language data set from over a million samples of children under 12. Now, we’re excited to present another individual with profound Natural Language Processing experience: Dr. Deborah Dahl. Deborah has been at the forefront of voice and speech, multimodal...

info_outline
Deborah Dahl: Chapter 1: How speech recognition’s past can inform our future show art Deborah Dahl: Chapter 1: How speech recognition’s past can inform our future

Machine Yearning

A few episodes back, Machine Yearning brought you a series of conversations from the VOICE conference. With over 2000 attendees at the largest gathering of the conversational technology world, VOICE was intense. You heard from voice and machine learning powerhouses like Cathy Pearl from Google and Patricia Scanlon, who has built a natural language data set from over a million samples of children under 12. Now, we’re excited to present another individual with profound Natural Language Processing experience: Dr. Deborah Dahl. Deborah has been at the forefront of voice and speech, multimodal...

info_outline
Deborah Dahl: Chapter 2: From air traffic control to pricing crops, the potential of voice tech show art Deborah Dahl: Chapter 2: From air traffic control to pricing crops, the potential of voice tech

Machine Yearning

A few episodes back, Machine Yearning brought you a series of conversations from the VOICE conference. With over 2000 attendees at the largest gathering of the conversational technology world, VOICE was intense. You heard from voice and machine learning powerhouses like Cathy Pearl from Google and Patricia Scanlon, who has built a natural language data set from over a million samples of children under 12. Now, we’re excited to present another individual with profound Natural Language Processing experience: Dr. Deborah Dahl. Deborah has been at the forefront of voice and speech, multimodal...

info_outline
Daniel Houghton: Full Interview show art Daniel Houghton: Full Interview

Machine Yearning

We spend our time here thinking, dreaming, and asking questions about the future of AI, the talking internet, and how we’re reshaping our culture. You wouldn’t think paper guidebooks, the repositioning of a travel brand and the future of digital creative agencies would be Machine Yearning territory. But they are - when the meeting point is Daniel Houghton. Daniel is the CEO of Pyxl (that’s P-Y-X-L,) a Nashville-based digital marketing agency. For years, Daniel has operated right up at the edge of digital content design, build and measurement. Before joining Pyxl this year, Daniel was CEO...

info_outline
Daniel Houghton: Chapter 1: Tech and creativity show art Daniel Houghton: Chapter 1: Tech and creativity

Machine Yearning

We spend our time here thinking, dreaming, and asking questions about the future of AI, the talking internet, and how we’re reshaping our culture. You wouldn’t think paper guidebooks, the repositioning of a travel brand and the future of digital creative agencies would be Machine Yearning territory. But they do - when the meeting point is Daniel Houghton. Daniel is the CEO of Pyxl (that’s P-Y-X-L,) a Nashville-based digital marketing agency. For years, Daniel has operated right up at the edge of digital content design, build and measurement. Before joining Pyxl this year, Daniel was CEO...

info_outline
Daniel Houghton: Chapter 2: The ways person-centric tech makes everyone’s lives better show art Daniel Houghton: Chapter 2: The ways person-centric tech makes everyone’s lives better

Machine Yearning

You wouldn’t think paper guidebooks, the repositioning of a travel brand and the future of digital creative agencies would be Machine Yearning territory. But they are - when the meeting point is Daniel Houghton. Daniel is the CEO of Pyxl (that’s P-Y-X-L,) a Nashville-based digital marketing agency. For years, Daniel has operated right up at the edge of digital content design, build and measurement. Before joining Pyxl this year, Daniel was CEO of Lonely Planet. Under his leadership, Lonely Planet made Fast Company’s 2018 "Most Innovative Companies" List and he was a 2017 Forbes 30 Under...

info_outline
 
More Episodes

This chapter is an excerpt from our interview with Janeen Uzzell at the 2018 VOICE Summit - the largest single gathering of the conversational design ecosystem. Most recently, Janeen was the Head of Women in Technology for GE. There, she worked across the 300,000-employee community leading a culture shift to accelerate the number of women within GE’s technical female workforce. Janeen spoke with conference organizer and friend of the pod Janice Mandel. In this conversation, they talk about how you weed the bias out of AI by building inclusive, diverse teams - so you can attract and serve a diverse customer base. This is just a taste, so make sure you grab the full episode and subscribe so you never miss a single Machine Yearning.