Sanas utilise l'IA pour la traduction d'accent et l'annulation des bruits afin d'améliorer la communication mondiale, en particulier dans les centres d'appels.
Pour utiliser Sanas, demandez une démonstration en direct sur le site web et explorez les fonctionnalités adaptées à une communication efficace.
Plus de contacts, visitez la page Contactez-nous(https://www.sanas.ai/contact-us)
Sanas Nom de l'entreprise : Sanas .
Pour en savoir plus sur Sanas, veuillez visiter la la page À propos de nous(https://www.sanas.ai/about-us) .
Lien de connexion Sanas : https://portal2.sanas.ai/
Sanas Lien d'inscription : https://portal2.sanas.ai/signup
Lien de Linkedin Sanas : https://www.linkedin.com/company/sanastech/
Écoute des médias sociaux
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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