VUX World

Rana Gujral is an entrepreneur, speaker, investor, and CEO at Behavioral Signals, an enterprise software company that excels at distinguishing behavioral signals in speech data with its proprietary deep learning technology. Rana joins us to share how Behavioral Signals emotional AI mediated technology is leading to 12-17% revenue improvement, +8% Call Success Ratio and +10% Customer Satisfaction in the call centre.Learn more about Behavioral SignalsPresented by Deepgram and Symbl.aiDeepgram is a Speech Company whose goal is to have every voice heard and understood. We have revolutionized speech-to-text (STT) with an End-to-End Deep Learning platform. This AI architectural advantage means you don’t have to compromise on speed, accuracy, scalability, or cost to build the next big idea in voice. Our easy-to-use SDKs and APIs allow developers to quickly test and embed our STT solution into their voice products. For more information, visit:Deepgram websiteDeepgram on LinkedInDeepgram on TwitterSymbl.ai is a Conversation Intelligence (CI) platform for building applications capable of understanding natural human conversations at scale. Their comprehensive suite of developer-centric products and APIs make it easy to build and deploy intelligent speech-to-text functionality, extract contextual insights, generate domain-specific insights and intelligence, and access advanced conversation analytics.Visit Symbl.aiSymbl.ai LinkedInSymbl.ai on TwitterSymbl.ai on Facebook Symbl.ai on Instagram Hosted on Acast. See acast.com/privacy for more information.

The first in a new collaborative series where Kane Simms, founder of VUX World and host of this VUX World podcast, and Marc Bernstein, CEO at Balto and host of the Reimagining the Contact Centre podcast, join forces to discuss and analyse broader technology and customer behaviour trends, and how it relates to the adoption and usage of AI.In this first episode, we discuss:The impossibility of finding a note-taking app that does it allCapability provision vs productThe value and challenges of tech starting in academiaBrain-machine interfacesThe pace of tech advancement vs the pace of consumer adoptionHow the pandemic opened our acceptance to adopt new techDeepfakes and AI literacyFinding the truthThe inevitability of dominating market leadersMarket volatility and quality Linkshttps://gettingthingsdone.com/https://www.amazon.co.uk/Skin-Game-Hidden-Asymmetries-Daily/dp/0241247470Morgan Freeman DeepfakeFind out more about BaltoFind out more about VUX World Hosted on Acast. See acast.com/privacy for more information.

Embodied Inc. is the company behind Moxie, the social robot who’s sole objective is to help kids develop socio-emotional skills and traits. We’re joined by CTO, Stefan Scherer to discuss the design and engineeringconsiderations for creating a robot that uses natural language processing for its primary user interface, but thatalso has a face. This is the future of multi-modal conversation design.Learn more about MoxiePresented by DeepgramDeepgram is a Speech Company whose goal is to have every voice heard and understood. We have revolutionized speech-to-text (STT) with an End-to-End Deep Learning platform. This AI architectural advantage means you don’t have to compromise on speed, accuracy, scalability, or cost to build the next big idea in voice. Our easy-to-use SDKs and APIs allow developers to quickly test and embed our STT solution into their voice products. For more information, visit:Deepgram websiteDeepgram on LinkedInDeepgram on Twitter Hosted on Acast. See acast.com/privacy for more information.

Who Else AI is developing a namespace protocol for the Internet of Voice. Open source, privacy-by-design, and based on public industry standards. Founder, Tobias Martens join us to share why an open voice protocol is critical and how Who Else AI is approaching making it a possibility.Visit whoelse.ai for more information.Presented by DeepgramDeepgram is a Speech Company whose goal is to have every voice heard and understood. We have revolutionized speech-to-text (STT) with an End-to-End Deep Learning platform. This AI architectural advantage means you don’t have to compromise on speed, accuracy, scalability, or cost to build the next big idea in voice. Our easy-to-use SDKs and APIs allow developers to quickly test and embed our STT solution into their voice products. For more information, visit:Deepgram websiteDeepgram on LinkedInDeepgram on Twitter Hosted on Acast. See acast.com/privacy for more information.

Jan Sedivy is a legend in the voice AI space, with vast experience working on speech systems at IBM and Google. He recently guided the Czech Technical University team in winning the Alexa Prize SocialBot Grand Challenge 4; a competition where contestants from Universities across the globe aimed to design a conversational AI that’s able to hold a conversation for 20 minutes.Jan joins us to share the journey through the Alexa Prize, how the team approached the project, lessons learned and conversation design tips geared to increase engagement with AI bots. He also shares some insights from his career in voice tech and his latest venture, Promethist AI.LinksFlowstorm.aiPromethist.aiTalk to PoppyConnect with Jan on LinkedInPresented by DeepgramDeepgram is a Speech Company whose goal is to have every voice heard and understood. We have revolutionized speech-to-text (STT) with an End-to-End Deep Learning platform. This AI architectural advantage means you don’t have to compromise on speed, accuracy, scalability, or cost to build the next big idea in voice. Our easy-to-use SDKs and APIs allow developers to quickly test and embed our STT solution into their voice products. For more information, visit:Deepgram websiteDeepgram on LinkedInDeepgram on Twitter Hosted on Acast. See acast.com/privacy for more information.

Senior Director of Conversation Design at [24]7.ai, Celene Osiecka joins us to share best practice on conversation design at scale for enterprise.Celene Osiecka is part of a rare breed of conversation designers with 10 year's experience. Although conversation design has been a practice for decades, it's only recently that the term has become solidified as its begun to reach mainstream awareness.This is in part due to the rise in popularity of chatbots since 2016, and also due to the wide adoption of voice assistants on mobile and smart speakers. However, even the early adopters of those platforms still only have 5 year's experience at best.So whenever you have the opportunity to speak to someone who has an unusual amount of experience across all kinds of conversational interfaces, you know you're in for a treat.We chatted to Celene about:The maturity of the conversation design practiceCelene's experience and about [24]7.aiExamples of new conversation design new best practicePersonality design and the role it plays in conversation designBest practice and challenges when designing in teamsThe future of the conversation design roleLinksMore information on the services that [24]7.ai offersConnect with Celene on LinkedInPresented by DeepgramDeepgram is a Speech Company whose goal is to have every voice heard and understood. We have revolutionized speech-to-text (STT) with an End-to-End Deep Learning platform. This AI architectural advantage means you don’t have to compromise on speed, accuracy, scalability, or cost to build the next big idea in voice. Our easy-to-use SDKs and APIs allow developers to quickly test and embed our STT solution into their voice products. For more information, visit:Deepgram websiteDeepgram on LinkedInDeepgram on Twitter Hosted on Acast. See acast.com/privacy for more information.

SoundHound Director Of Business Development, Darin Clark, join us to share the ins and outs of wake word detection for voice AI and speech recognition systems.One of the crucial parts of creating a voice assistant is the ability for the assistant to start listening when you say its name. For example "Alexa", "Hey Siri" or "OK Google". They are all examples of 'wake words'. But how to you create your own wake word for your brand? How do you deploy a wake word onto something like an app or some hardware, such as an in-car infotainment system, a speaker or even a fridge or other smart device?All of those questions will be answered, and more, in this live interview with Darin Clark, Director Of Business Development at leading voice AI company, SoundHound.Presented by DeepgramDeepgram is a Speech Company whose goal is to have every voice heard and understood. We have revolutionized speech-to-text (STT) with an End-to-End Deep Learning platform. This AI architectural advantage means you don’t have to compromise on speed, accuracy, scalability, or cost to build the next big idea in voice. Our easy-to-use SDKs and APIs allow developers to quickly test and embed our STT solution into their voice products. For more information, visit: https://deepgram.com/vuxworld Hosted on Acast. See acast.com/privacy for more information.

Stories covered:LinkedIn allows newsletters in the UK: sign up to conversational AI and NLP hereKane closes SwissCognitive Cognitive Virtual event with 'AI strategy in 5 days' talkWake word detection with SoundHound's Darin ClarkMicrosoft release contact centre with AI at its coreThe future of NLU with Chandra KhatriMaking audio more discoverable with Gal KleinSymbl.ai raises $17m. Join CEO, Surbhi Rathore on VUX World Live on 25th NovemberInworld AI raises $7mNVIDIA's Audio2FaceCoinbase acquires AgaraSonos voice assistant code leaked Hosted on Acast. See acast.com/privacy for more information.

Chandra Khatri is the Head of AI at emerging startup, Got It AI, and joins us to share the future of NLU systems and how transformer-based models (explained in detail for the layperson) are heralding a new line of capabilities and making a new kind of customer experience possible. Chandra used to work on the Alexa team and was the founding brain behind the Alexa Prize which, to date, has been responsible for some of the most innovative work on multi-turn conversational AI development. Many of the outputs of the Alexa Prize have made it into the core Alexa product, such as Alexa Conversations. Chandra then worked as one of the founding members of the Uber conversational AI team before heading up the AI division at Got It AI.LinksVisit Got It AIPresented by DeepgramDeepgram is a Speech Company whose goal is to have every voice heard and understood. We have revolutionized speech-to-text (STT) with an End-to-End Deep Learning platform. This AI architectural advantage means you don’t have to compromise on speed, accuracy, scalability, or cost to build the next big idea in voice. Our easy-to-use SDKs and APIs allow developers to quickly test and embed our STT solution into their voice products. For more information, visit: https://deepgram.com/vuxworld Hosted on Acast. See acast.com/privacy for more information.

Audio is chronically difficult to find. Invisible and not indexed in the usual places people search for information, such as online and in emerging contexts such as voice assistants. Yet, there's so much audio being produced and so much rich and dense information contained within it.Think about this podcast. In this conversation with Audioburst CEO, Gal Klein, we discuss a whole manner of different challenges when it comes to discovering audio content, both bite-sized summaries and long form information. Yet, you'll need to listen to the whole thing in order to benefit from it. And how did you find it? In a podcast player probably.But why can't you just ask Google what the main challenge with audio discoverability is, then dip straight into the specific part of this podcast where Gal explains it?The answer? Audio is notoriously difficult to understand and summarise. Yet, that is what Audioburst does.In this conversation, we discuss some of the core challenges with audio discoverability, the value of both short and long form audio and how Audioburst helps creators and businesses make their audio more discoverable.Linkswww.audioburst.com Hosted on Acast. See acast.com/privacy for more information.