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Sound of the Police - Anthony Tassone, Green Key

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Manage episode 247833740 series 2289800
Contenu fourni par Carl Robinson. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Carl Robinson ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.

Today’s guest is Anthony Tassone, founder of Green Key, a startup that builds artificial intelligence to optimize sales, trading, and a growing list of other services. Green Key uses voice technology to structure conversations into actionable data toward the end aim of generating insights and powering automation. They also work with police officers and first responders, helping them to leverage the power of voice to go hands-free, thereby improving the speed and safety of operations.

Our conversation focusses mostly on the topic of how Green Key voice-assists the police. He explains how NLP is transforming the emergency services sector by enabling officers to use voice technology to fill out reports or conduct searches and queries in a hands-free manner. It then enables them to access that data later while at the wheel or on the street. We also talk about some privacy implications and how Green Key avoids them through the provision of an on-premises solution. In the example of the Police, it provides an on-demand recording microphone rather than one which is always listening.

Anthony covers some machine learning processes which enable Green Key to construct its collections of domain-specific jargon libraries as well. You’ll also discover why voice isn’t always the best output method, and how Green Key scaled up from its initial role in the financial sector to servicing new markets. This is a great episode and one you are going to want to hear.

Links from the show:

Sponsors:

Find us here:

★ Support this podcast on Patreon ★
  continue reading

86 episodes

Artwork
iconPartager
 
Manage episode 247833740 series 2289800
Contenu fourni par Carl Robinson. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Carl Robinson ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.

Today’s guest is Anthony Tassone, founder of Green Key, a startup that builds artificial intelligence to optimize sales, trading, and a growing list of other services. Green Key uses voice technology to structure conversations into actionable data toward the end aim of generating insights and powering automation. They also work with police officers and first responders, helping them to leverage the power of voice to go hands-free, thereby improving the speed and safety of operations.

Our conversation focusses mostly on the topic of how Green Key voice-assists the police. He explains how NLP is transforming the emergency services sector by enabling officers to use voice technology to fill out reports or conduct searches and queries in a hands-free manner. It then enables them to access that data later while at the wheel or on the street. We also talk about some privacy implications and how Green Key avoids them through the provision of an on-premises solution. In the example of the Police, it provides an on-demand recording microphone rather than one which is always listening.

Anthony covers some machine learning processes which enable Green Key to construct its collections of domain-specific jargon libraries as well. You’ll also discover why voice isn’t always the best output method, and how Green Key scaled up from its initial role in the financial sector to servicing new markets. This is a great episode and one you are going to want to hear.

Links from the show:

Sponsors:

Find us here:

★ Support this podcast on Patreon ★
  continue reading

86 episodes

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