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Unlocking AI’s Full Potential Through Testing and Iteration – [Segment 4/5]

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Manage episode 406286082 series 3222070
Innhold levert av dojo.live. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av dojo.live eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

What strategies can you employ for post-implementation, including gaining valuable customer feedback and making informed decisions on road mapping and potential pivots in the AI strategy?

President, ProVision Partners International [Linkedin Link]

David Chestler is recognized as an icon of the global hospitality and travel industry, having forged a successful career in hotel technology that spans over three decades. He currently serves as President of ProVision Partners International, Inc, a hotel and travel consultancy and marketing firm that he co-founded in 2019. Since beginning his career in hospitality in 1989 with Utell International, Chestler has held leadership roles with some of the industry’s most prominent organizations, where he consistently delivered global scale and growth by developing high performance teams focused on complex technology solutions.

Principal ML Research Engineer @ Encora [Linkedin Link]

Jorge Hernandez is a Principal ML Research Engineer with over 23 years of experience in software. He has led cross functional, distributed teams as both Tech Lead and CTO to deliver solutions in projects for millions of users across local and federal governments, academia and industry.

As an ML Research Engineer, he led clients’ machine learning teams in delivering SOTA results in data and text extraction from scanned documents, using a novel machine learning algorithm developed in-house, which allows Low Shot and Zero Shot training without sacrificing accuracy or recall, as well as facilitating transparency in the trained models.

Jorge’s research interests include Deep Learning, Quantum Computing, Quantum Machine Learning and Fair, Safe and Transparent AI, as well as the applications of both standard and Quantum Machine Learning to Genomics, Proteomics, Synthetic Biology and Materials Science. His other interests include classical music, neuroscience, philosophy of science, physics and role-playing games. Jorge majored in Computer Science at the Faculty of Sciences of the National Autonomous University of Mexico.

David ChestlerJorge Hernandez

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356 episoder

Artwork
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Manage episode 406286082 series 3222070
Innhold levert av dojo.live. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av dojo.live eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

What strategies can you employ for post-implementation, including gaining valuable customer feedback and making informed decisions on road mapping and potential pivots in the AI strategy?

President, ProVision Partners International [Linkedin Link]

David Chestler is recognized as an icon of the global hospitality and travel industry, having forged a successful career in hotel technology that spans over three decades. He currently serves as President of ProVision Partners International, Inc, a hotel and travel consultancy and marketing firm that he co-founded in 2019. Since beginning his career in hospitality in 1989 with Utell International, Chestler has held leadership roles with some of the industry’s most prominent organizations, where he consistently delivered global scale and growth by developing high performance teams focused on complex technology solutions.

Principal ML Research Engineer @ Encora [Linkedin Link]

Jorge Hernandez is a Principal ML Research Engineer with over 23 years of experience in software. He has led cross functional, distributed teams as both Tech Lead and CTO to deliver solutions in projects for millions of users across local and federal governments, academia and industry.

As an ML Research Engineer, he led clients’ machine learning teams in delivering SOTA results in data and text extraction from scanned documents, using a novel machine learning algorithm developed in-house, which allows Low Shot and Zero Shot training without sacrificing accuracy or recall, as well as facilitating transparency in the trained models.

Jorge’s research interests include Deep Learning, Quantum Computing, Quantum Machine Learning and Fair, Safe and Transparent AI, as well as the applications of both standard and Quantum Machine Learning to Genomics, Proteomics, Synthetic Biology and Materials Science. His other interests include classical music, neuroscience, philosophy of science, physics and role-playing games. Jorge majored in Computer Science at the Faculty of Sciences of the National Autonomous University of Mexico.

David ChestlerJorge Hernandez

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