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Leveraging Conversational AI to Improve Customer Experience - CitC Episode 263

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Content provided by Intel Corporation. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Intel Corporation or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Nitin Somalaraju from Tech Mahindra joins host Jake Smith to talk about the company’s Speech Analytics platform named Sayint, which uses cutting-edge artificial intelligence (AI), machine learning (ML), and natural language processing (NLP) to uncover meaningful insights from customer conversations. Nitin talks about why regional localization and privacy issues are still challenging to overcome when deploying voicebots and how Intel technology has helped the Tech Mahindra team. For more information, visit: https://www.sayint.ai/ Follow Jake on Twitter at: https://twitter.com/jakesmithintel
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296 episodes

Artwork
iconShare
 
Manage episode 307449179 series 1180916
Content provided by Intel Corporation. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Intel Corporation or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Nitin Somalaraju from Tech Mahindra joins host Jake Smith to talk about the company’s Speech Analytics platform named Sayint, which uses cutting-edge artificial intelligence (AI), machine learning (ML), and natural language processing (NLP) to uncover meaningful insights from customer conversations. Nitin talks about why regional localization and privacy issues are still challenging to overcome when deploying voicebots and how Intel technology has helped the Tech Mahindra team. For more information, visit: https://www.sayint.ai/ Follow Jake on Twitter at: https://twitter.com/jakesmithintel
  continue reading

296 episodes

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