33 min
How Humans and AI Can Propel Customer Experience with Vasco Pedro of Unbabel HumAIn Podcast - Artificial Intelligence, Data Science, Developer Tools, and Technical Education
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- Technology
[Audio]
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Dr. Vasco Pedro is the co-founder and CEO of Unbabel. He owns the vision, overall business strategy and sets the direction for Unbabel’s product development. Responsible for the company’s culture, Vasco is heavily involved in recruiting and spearheads Unbabel’s fundraising efforts, which total USD$91 million in venture capital to date. He is a leading presence in the burgeoning Lisbon startup scene, with Unbabel known for being the first Portuguese company to be accepted into the Y Combinator accelerator program.
Vasco received his Ph.D. in Computer Science in May 2009 from Carnegie Mellon University (CMU), working with Jaime Carbonell and Eric Nyberg. His thesis, titled “Federated Ontology Search,” focused on developing new methods using ontologies (a set of concepts which compartmentalizes variables for computations and establishes the relationships between them) in large scale data-processing scenarios. From 2001-2009 he was a Research Assistant at the Language Technologies Institute, contributing in the field of Question Answering (a computer system capable of answering questions posed in natural language), alongside the team that eventually went on to create IBM’s Watson. Vasco was a Fulbright Scholar, 2001-2005, and was awarded a scholarship from Fundação para a Ciência e a Tecnologia, Portuguese Foundation for Science and Technology (FCT), Ph.D. Scholarship, 2006-2010.
Episode Links:
Vasco Pedro’s LinkedIn: https://www.linkedin.com/in/vascopedro/
Vasco Pedro’s Twitter: @justvasco
Vasco Pedro’s Website: https://unbabel.com/
Podcast Details:
Podcast website: https://www.humainpodcast.com
Apple Podcasts: https://podcasts.apple.com/us/podcast/humain-podcast-artificial-intelligence-data-science/id1452117009
Spotify: https://open.spotify.com/show/6tXysq5TzHXvttWtJhmRpS
RSS: https://feeds.redcircle.com/99113f24-2bd1-4332-8cd0-32e0556c8bc9
YouTube Full Episodes: https://www.youtube.com/channel/UCxvclFvpPvFM9_RxcNg1rag
YouTube Clips: https://www.youtube.com/channel/UCxvclFvpPvFM9_RxcNg1rag/videos
Support and Social Media:
– Check out the sponsors above, it’s the best way to support this podcast
– Support on Patreon: https://www.patreon.com/humain/creators
– Twitter: https://twitter.com/dyakobovitch
– Instagram: https://www.instagram.com/humainpodcast/
– LinkedIn: https://www.linkedin.com/in/davidyakobovitch/
– Facebook: https://www.facebook.com/HumainPodcast/
– HumAIn Website Articles: https://www.humainpodcast.com/blog/
Outline:
Here’s the timestamps for the episode:
(00:00) – Introduction
(01:30) – We need to create a new version of the translation service that blends artificial intelligence and humans in a number of different varieties to provide just this very simple, straightforward API for translation. That was the original idea.
(04:21) – Companies are pressured earlier to be able to serve multiple markets. And as you expand to multiple markets, you face the fact that people in that market will speak a different language and I need to be able to serve them.
(06:49) – Our goal is to build the language operations platform that enables every enterprise to seamlessly scale across languages. And a big part of that is the full stack that we've built on translation and different components of AI, quality estimation or anonymization, or the actual interfaces for humans to translate and all the different components.
(08:43) – AI will have the biggest impact in areas that are highly commoditized and require a lot of human effort. A lot of humans can acquire the knowledge and the skillset to do translation and to do transcription. Overall, AI is not replacing humans, it is augmenting humans. And it's enabling humans to be more productive as a tool, so far.
(10:43) –You will need a smaller amount of human effort per
[Audio]
Podcast: Play in new window | Download
Subscribe: Google Podcasts | Spotify | Stitcher | TuneIn | RSS
Dr. Vasco Pedro is the co-founder and CEO of Unbabel. He owns the vision, overall business strategy and sets the direction for Unbabel’s product development. Responsible for the company’s culture, Vasco is heavily involved in recruiting and spearheads Unbabel’s fundraising efforts, which total USD$91 million in venture capital to date. He is a leading presence in the burgeoning Lisbon startup scene, with Unbabel known for being the first Portuguese company to be accepted into the Y Combinator accelerator program.
Vasco received his Ph.D. in Computer Science in May 2009 from Carnegie Mellon University (CMU), working with Jaime Carbonell and Eric Nyberg. His thesis, titled “Federated Ontology Search,” focused on developing new methods using ontologies (a set of concepts which compartmentalizes variables for computations and establishes the relationships between them) in large scale data-processing scenarios. From 2001-2009 he was a Research Assistant at the Language Technologies Institute, contributing in the field of Question Answering (a computer system capable of answering questions posed in natural language), alongside the team that eventually went on to create IBM’s Watson. Vasco was a Fulbright Scholar, 2001-2005, and was awarded a scholarship from Fundação para a Ciência e a Tecnologia, Portuguese Foundation for Science and Technology (FCT), Ph.D. Scholarship, 2006-2010.
Episode Links:
Vasco Pedro’s LinkedIn: https://www.linkedin.com/in/vascopedro/
Vasco Pedro’s Twitter: @justvasco
Vasco Pedro’s Website: https://unbabel.com/
Podcast Details:
Podcast website: https://www.humainpodcast.com
Apple Podcasts: https://podcasts.apple.com/us/podcast/humain-podcast-artificial-intelligence-data-science/id1452117009
Spotify: https://open.spotify.com/show/6tXysq5TzHXvttWtJhmRpS
RSS: https://feeds.redcircle.com/99113f24-2bd1-4332-8cd0-32e0556c8bc9
YouTube Full Episodes: https://www.youtube.com/channel/UCxvclFvpPvFM9_RxcNg1rag
YouTube Clips: https://www.youtube.com/channel/UCxvclFvpPvFM9_RxcNg1rag/videos
Support and Social Media:
– Check out the sponsors above, it’s the best way to support this podcast
– Support on Patreon: https://www.patreon.com/humain/creators
– Twitter: https://twitter.com/dyakobovitch
– Instagram: https://www.instagram.com/humainpodcast/
– LinkedIn: https://www.linkedin.com/in/davidyakobovitch/
– Facebook: https://www.facebook.com/HumainPodcast/
– HumAIn Website Articles: https://www.humainpodcast.com/blog/
Outline:
Here’s the timestamps for the episode:
(00:00) – Introduction
(01:30) – We need to create a new version of the translation service that blends artificial intelligence and humans in a number of different varieties to provide just this very simple, straightforward API for translation. That was the original idea.
(04:21) – Companies are pressured earlier to be able to serve multiple markets. And as you expand to multiple markets, you face the fact that people in that market will speak a different language and I need to be able to serve them.
(06:49) – Our goal is to build the language operations platform that enables every enterprise to seamlessly scale across languages. And a big part of that is the full stack that we've built on translation and different components of AI, quality estimation or anonymization, or the actual interfaces for humans to translate and all the different components.
(08:43) – AI will have the biggest impact in areas that are highly commoditized and require a lot of human effort. A lot of humans can acquire the knowledge and the skillset to do translation and to do transcription. Overall, AI is not replacing humans, it is augmenting humans. And it's enabling humans to be more productive as a tool, so far.
(10:43) –You will need a smaller amount of human effort per
33 min