Sanas nutzt KI für Akzentübersetzung und Geräuschunterdrückung, um die globale Kommunikation, insbesondere in Kontaktzentren, zu verbessern.
Um Sanas zu verwenden, fordern Sie eine Live-Demo auf der Website an und erkunden Sie die Funktionen, die für eine effektive Kommunikation entwickelt wurden.
Weitere Informationen zu Kontakt finden Sie auf der Kontaktseite (https://www.sanas.ai/contact-us)
Sanas Firmenname: Sanas .
Weitere Informationen zu Sanas finden Sie auf der Über uns-Seite (https://www.sanas.ai/about-us) .
Sanas Anmeldelink: https://portal2.sanas.ai/
Sanas Anmeldelink: https://portal2.sanas.ai/signup
Sanas Linkedin link: https://www.linkedin.com/company/sanastech/
Social Media Listening
This Week In Voice (Season 8, Episode 8) featuring Ai4, Amazon, Sanas, Salesforce, and SmartBots
This Week In Voice Season 8, Episode 8 Guests: Greg Bennett (Salesforce), Daniel Lackland (Ai4) + Ai4 guest (Chris Morrow of Amazon); Marty Sarim (Sanas.ai), Jayaprakash Kommu (SmartBots) Stories for discussion: 1) Chaos Inside Google As Execs Try To Figure Out How To Actually use AI (Futurism) https://futurism.com/chaos-google-execs-use-for-ai 2) Amazon: Alexa Troubles But Deeply Undervalued Intrinsically (Seeking Alpha) https://seekingalpha.com/article/4585671-amazon-amzn-alexa-troubles-but-undervalued-intrinsically 3) A New M*A*S*H Scene: Written By ChatGPT, Read By Hawkeye and BJ (New York Times) https://www.nytimes.com/2023/03/07/arts/television/mash-chatgpt-alan-alda.html ------------ In the wake of ChatGPT's arrival, Project Voice 2023 convenes the world of conversational AI and will shatter previous attendance records. Registration and program information can be found here: https://www.eventbrite.com/e/project-voice-2023-the-world-of-conversational-ai-tickets-328421215697
Enterprise Connect 23: Sanas.AI is the World's First Solution for Real-Time Accent Translation
Enterprise Connect 23: Sanas.AI is the World's First Solution for Real-Time Accent Translation
How sanas.ai runs neural network inference on millions of audio files.
Daniel Gafni ( from https://www.eventum.ai/ ) showcases how sanas.ai evaluated several of Dagster’s features, including IO Managers, Resources, and Dynamic Ops. Daniel shows how they’re using a RayClusterResource to run neural network inference on millions (yes, millions) of audio files. Monitoring metadata in Ray, failure analysis, and other observable features are also discussed, showing how Ray makes scaling Python easy with minimal orchestration overhead. Try Dagster today with a 30-day free trial: https://dagster.io/lp/dagster-cloud-trial
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