Anyone who has worked with semi-complex conversational AI from a design or development perspective has hit the limitations of the technology. 'If this then that' statements that determine logic, handling 'no match' intents and providing training data and synonyms for intents and slots. All of this gets incredibly complex and difficult to manage when you get into anything beyond a simple use case.One company that's pushing the boundaries of conversational AI is Wluper. Today we're joined by co-founder and CTO, Nikolai Rozanov to discuss Wluper's approach to an intentless NLU, advanced memory and dialogue management. This is the next generation of conversational AI.LinksConnect with Nikolai RozanovCheck out Wluper See acast.com/privacy for privacy and opt-out information.

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Advancing 'applied conversational AI' with Wluper co-founder and CTO, Nikolai Rozanov

Authors of Conversations with Things, Rebecca Evanhoe and Diana Deibel, join us to share conversation design best practice and lessons learned from over a decade of designing conversations with things.LinksBuy Conversations with ThingsConnect with Rebecca Evanhoe on LinkedInConnect with Diana Deibel 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 See acast.com/privacy for privacy and opt-out information.

Designing Conversations with Things with Rebecca Evanhoe and Diana Deibel

 The future of conversation designI rocked the boat a little over the last few weeks, making some statements about the future of conversation design. How technology will improve and intent-less NLU and other technology will change the role of a conversation designer. How the way we think about conversations isn’t always conducive to producing great customer experiences.One company that is pushing the boundaries of conversation design is OpenDialog. It’s unique approach of an intent-last mindset is nothing like I’ve seen before.Ronald Ashri has been instrumental in leading the OpenDialog team and approach. He joins us this week to share more on the OpenDialog conversation design philosophy, the tooling and his thoughts on the future of conversation design.LinksVisit OpenDialog.aiConnect with Ronald Ashri 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 See acast.com/privacy for privacy and opt-out information.

The future of conversation design with OpenDialog Founder, Ronald Ashri

When Google comes across a voice AI automation problem that it can't solve, and needs to bring in another company to help solve it, you can assume that the company they use know a thing or two about voice AI. You can also assume that company has some compelling technology at its disposal. Meet Sovran AI CRO, Clive Elleforde. Clive has decades of experience in business, technology and startup growth and is leading the growth charge at UK-based voice AI tech company, Sovran AI.Sovran AI has been reaching over 90% automation rates when automating conversations in contact centres with the likes of Sky. Compared to the average level of 11% automation reported by McKinsey, that's pretty impressive.Clive joins us to share more about what Sovran AI does, how it approaches voice AI automation, and some of the secret sauce that enables Sovran AI to achieve such high levels of accuracy, and so quickly (some Sovran AI projects have gone live in weeks).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 TwitterLinksVisit Sovran AIEmail Clive Elleford directly See acast.com/privacy for privacy and opt-out information.

Achieving high levels of automation with Sovran AI CRO, Clive Elleforde

The CEO of rising conversational AI platform provider, Hyro, joins us to share insights on the unique approach taken to create its NLU technology and the kind of results its seeing in market.Israel Krush shares the ins and outs of Hyro's philosophy, its intentness NLU approach and the importance of knowledge management.We get into why, when using Hyro, there's less of a need for designing conversational flows and how the technology is able to make decisions about what questions to ask next based on the data. This is because of a combination of a linguistic approach to NLU creation and through pairing that with a bespoke knowledge graph with documents content, entities and the relationship between them.We discuss some of the challenges organisations have when implementing conversational AI, how Hyro is helping clients overcome them and how a seemingly straightforward deployment is managed and maintained. This episode of VUX World is 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.Links:https://hyro.ai See acast.com/privacy for privacy and opt-out information.

Intentness NLU and knowledge management with Hyro CEO, Israel Krush

Deepgram 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. Its easy-to-use SDKs and APIs allow developers to quickly test and embed our STT solution into their voice products.We sat down with CEO, Scott Stephenson and discussed all things speech recognition including;how a particle physicist turned into a speech recognition expert,how Deepgram approaches creating ASR,what use cases their customers are utilising the service for,the different between Deepgram and it's big tech competitors,why deep learning is an important differentiator,why speed is important and how quick its response times are,accuracy levels and training/tuning ASR,how to select a speech recognition vendor and much much moreLinksVisit Deepgram.com See acast.com/privacy for privacy and opt-out information.

Utilising automatic speech recognition with Deepgram CEO, Scott Stephenson

Kordel France discusses how Seekar Technologies is approaching AI and how it's using its unique technologies and multi-model processing of a variety of input signals (from speech, to vision, to radar and other signals) and helping disadvantaged industries such as medicine, agriculture and manufacturing solve some core problems.From using speech recognition to detect whether someone is lying, to mental health screening and how combining voice AI with other inputs and modalities can have a huge impact on the value of the solution.Seekar's approach is to reduce bias in AI processing through it's 'explainable' AI developer features that allow teams to understand the specific parts of a neural network and highlight which areas are performing well and poorly given a variety of input sources (such as different gendered voices).LinksCheck out Seekar TechnologiesConnect with Kordel France on LinkedInKordel France on Twitter See acast.com/privacy for privacy and opt-out information.

Explainable AI with Seekar Technologies, CEO, Kordel France

TalkVia, the voice assistant design and development platform for marketing teams looking to invest in emerging technologies like Alexa and Google Assistant, conducted the Smart Audio Report, Australia, to understand the adoption and usage levels of voice assistant technologies down under.Head of Innovation, Guy Munro, joins us to share the details and insights from the survey, how voice assistant adoption in APAC is similar or different to the US and EU, as well as his perspectives and advice for marketing teams looking to explore these emerging channels.LinksCheck our TalkViaDownload the Smart Audio Report, AustraliaConnect with Guy on LinkedIn See acast.com/privacy for privacy and opt-out information.

Voice in APAC with Guy Munro, TalkVia

Voice AI can provide immense value outside of the home. Problem is, outside is noisy! So how to you create voice AI solutions and speech recognition systems that work well in cars, in traffic, outside or with screaming kids in the background!?We're joined by SoundHound's Director of Business Development, Andrew Richards, to shed some light on how one of the top voice AI companies tackles this challenge.We dive into:What are the common challenges when implementing voice solutions in noisy environments?Any examples of areas where the environment proves trickier than others? Microphone technology, placement and arraysWhat's beam forming and why is it important?How do you (or what do you do to...) mitigate the noise to get a clean signal? About additive noise, convolutional noise, distortion and noise reductionWhat do you need to consider when implementing a voice assistant in a noisy environment? How to train speech recognition systems for use in noisy places?LinksVisit Houndify.comRead the Houndify Speech to Meaning blog (recommended)All about speech recognition with Catherine BreslinHow voice AI is disrupting industries with SoundHound's Mike ZagorsekHow to train speech recognition systems with Atexto  See acast.com/privacy for privacy and opt-out information.

Voice AI in noisy environments with SoundHound's Andrew Richards

Every experienced conversation designer has been asked this question: how do I get into conversation design?Heyday's Team Lead for Conversation Design, Anna Ralph, joins us to answer that question and more as we chart her journey from copywriter to conversation designer and share how you can do the same.LinksHeyday by Hootsuite See acast.com/privacy for privacy and opt-out information.

The journey into conversation design with Heyday's Anna Ralph

Genesys is one of the largest cloud CX providers on the planet and is leading the way in the future of customer experience with is cloud contact centre and automation platforms.VP, Product Marketing for AI at Genesys, Elcenora Martinez joins us to share her experience and insights on the current best practice for implementing conversational AI in enterprise. We discuss the approach Genesys has taken to its voice and conversational AI product offering, the Bold 360 acquisition, trends and observations on challenges faced by companies looking to implement conversational AI and how to overcome them, as well as the importance of design thinking on AI projects and programmes.LinksDownload the Connected Custom Experience studyConnect with Elcenora Martinez on LinkedInTry Genesys Dialogue Engine See acast.com/privacy for privacy and opt-out information.

Genesys on conversational AI with VP, Product Marketing, Elcenora Martinez

It's hard enough designing conversational AI agents that understand single line utterances and are able to string together a conversation with a person. Try monitoring both a caller and an agent having a two way conversation and understanding it to the extend that you're able to offer real time, in the moment, accurate guidance to the call handler.This is exactly what Balto does. We chat to CEO, Marc Bernstein, about where the idea for Balto came from, how he went about creating the company, the business and technical challenges he and the team had to overcome and we get into details on how the Balto solution is helping contact centre agents be more productive.LinksBalto.aiConnect with Marc Bernstein on LinkedIn See acast.com/privacy for privacy and opt-out information.

AI-driven real time guidance for call centre agents with Balto CEO, Marc Bernstein

Learn how to implement voice first strategy and create world-class voice experiences with VUX World. Every week, we speak to industry thought leaders and practitioners on the three core pillars of voice: strategy, design and development. We share the deep details of how they do what they do, so that you can do what you do, better.

Advancing 'applied conversational AI' with Wluper co-founder and CTO, Nikolai Rozanov

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