Podcasts about conversational interfaces

I, Stewart Alsop, welcomed Alex Levin, CEO and co-founder of Regal, to this episode of the Crazy Wisdom Podcast to discuss the fascinating world of AI phone agents. Alex shared some incredible insights into how AI is already transforming customer interactions and what the future holds for company agents, machine-to-machine communication, and even the nature of knowledge itself.Check out this GPT we trained on the conversation!Timestamps00:29 Alex Levin shares that people are often more honest with AI agents than human agents, especially regarding payments.02:41 The surprising persistence of voice as a preferred channel for customer interaction, and how AI is set to revolutionize it.05:15 Discussion of the three types of AI agents: personal, work, and company agents, and how conversational AI will become the main interface with brands.07:12 Exploring the shift to machine-to-machine interactions and how AI changes what knowledge humans need versus what machines need.10:56 The looming challenge of centralization versus decentralization in AI, and how Americans often prioritize experience over privacy.14:11 Alex explains how tokenized data can offer personalized experiences without compromising specific individual privacy.25:44 Voice is predicted to become the primary way we interact with brands and technology due to its naturalness and efficiency.33:21 Why AI agents are easier to implement in contact centers due to different entropy compared to typical software.38:13 How Regal ensures AI agents stay on script and avoid "hallucinations" by proper training and guardrails.46:11 The technical challenges in replicating human conversational latency and nuances in AI voice interactions.Key InsightsAI Elicits HonestyPeople tend to be more forthright with AI agents, particularly in financially sensitive situations like discussing overdue payments. Alex speculates this is because individuals may feel less judged by an AI, leading to more truthful disclosures compared to interactions with human agents.Voice is King, AI is its HeirDespite predictions of its decline, voice remains a dominant channel for customer interactions. Alex believes that within three to five years, AI will handle as much as 90% of these voice interactions, transforming customer service with its efficiency and availability.The Rise of Company AgentsThe primary interface with most brands is expected to shift from websites and apps to conversational AI agents. This is because voice is a more natural, faster, and emotive way for humans to interact, a behavior already seen in younger generations.Machine-to-Machine FutureWe're moving towards a world where AI agents representing companies will interact directly with AI agents representing consumers. This "machine-to-machine" (M2M) paradigm will redefine commerce and the nature of how businesses and customers engage.Ontology of KnowledgeAs AI systems process vast amounts of information, creating a clear "ontology of knowledge" becomes crucial. This means structuring and categorizing information so AI can understand the context and user's underlying intent, rather than just processing raw data.Tokenized Data for PrivacyA potential solution to privacy concerns is "tokenized data." Instead of providing AI with specific personal details, users could share generalized tokens (e.g., "high-intent buyer in 30s") that allow for personalized experiences without revealing sensitive, identifiable information.AI Highlights Human InconsistenciesImplementing AI often brings to light existing inconsistencies or unacknowledged issues within a company. For instance, AI might reveal discrepancies between official scripts and how top-performing human agents actually communicate, forcing companies to address these differences.Influence as a Key Human SkillIn a future increasingly shaped by AI, Sam Altman (via Alex) suggests that the ability to "influence" others will be a paramount human skill. This uniquely human trait will be vital, whether for interacting with other people or for guiding and shaping AI systems.Contact Information*   Regal AI: regal.ai*   Email: hello@regal.ai*   LinkedIn: www.linkedin.com/in/alexlevin1/

In this episode, Yaa Kumah-Crystal, MD, MPH, MS, Associate Professor of Biomedical Informatics and Pediatric Endocrinology at Vanderbilt University Medical Center (VUMC), discusses the potential of AI and voice technology in improving patient care and medical education. She also explores the challenges of interoperability and the potential for more at-home care and patient insights. Dr. Kumah-Crystal talks about the evolution of Electronic Health Records (EHRs) and outlines three phases of EHR development: paper-based, classic digital entry, and the current generative AI era. She highlights significant advancements in ambient documentation workflows, which allow clinicians—especially in pediatrics, where communication is nuanced—to focus more on patients while AI handles note-taking. She shares her vision for fully integrated, voice-based conversational interfaces in EHRs that enhance both clinician satisfaction and patient engagement. Drawing from her experience as a pediatric endocrinologist and her work with Epic as the EHR vendor, she discusses implementing new workflows like Ambience and exploring additional patient communication methods. Dr. Kumah-Crystal also emphasizes the importance of pilot testing, clearly defined ROI metrics, and close collaboration with vendors to drive innovation. She believes AI will be a critical enabler for better outcomes in pediatric care and beyond.

This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more.   NetSuite is offering a one-of-a-kind flexible financing program. Head to  https://netsuite.com/EYEONAI to know more.     In this episode of the Eye on AI podcast, join us as we sit down with Avi Kedmi, CEO of SysAid, to explore the transformative power of AI in IT service management.   Avi shares his journey from the high-tech industry to leading SysAid, a pioneer in IT service management solutions. With over 20 years of experience, Avi discusses how SysAid is leveraging AI to revolutionize service management through predictive modeling and generative AI.   Discover how SysAid's AI-driven solutions reduce ticket volumes and enhance customer satisfaction by automating IT services. Avi provides an inside look at SysAid's AI Co-Pilot, a comprehensive AI suite designed to optimize IT service delivery and support.   Explore the unique features of SysAid's platform, including its ease of use, no-code interface, and seamless integration with existing IT systems. Avi explains how SysAid's AI capabilities enable real-time data processing and decision-making, improving efficiency and response times.   Learn about the future of AI in IT service management, as Avi delves into the potential for AI-driven automation and the development of smarter IT solutions. He also highlights SysAid's strategic approach to staying competitive in a rapidly evolving industry.   Tune in to understand how SysAid is setting new standards in AI-powered IT service management and what this means for the future of IT support.   Don't forget to like, subscribe, and hit the notification bell for more insights into the technologies driving the AI revolution.     Get 20% off SysAid Copilot using this link: https://www.sysaid.com/lp/sysaid-copilot-s?utm_source=youtube&utm_medium=cpc&utm_campaign=short-craig   Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI   (00:00) Preview and Introduction (02:38) Avi Kedmi's Background (04:37) SysAid's Role in the ITSM Market (06:39) SysAid Co-Pilot: AI-Powered IT Solutions (08:31) Importance of Generative AI in Service Management (12:23) Conversational Interfaces and Large Language Models (14:20) AI Applications in IT Service Management (21:16) Automated Pre-Processing and Document Handling (25:33) AI's Role in Reducing Ticket Volumes (28:56) Ensuring Accuracy and Relevance (30:46) Cross-Channel Accuracy Management (34:03) SysAid's Mid-Market Focus and Strategic Positioning (37:52) Market Segmentation and Competitive Advantage (39:17) Digitization and Future Market Trends (43:54) Challenges with Knowledge Base Maintenance (46:48) Future Developments and Industry Trends (47:39) SysAid's Vision for AI and IT Service Management

.If you would like a transcript of this episode, access to the links I mentioned, or any additional information, please visit the associated blog post.https://boagworld.com/emails/the-rise-of-the-voice-and-conversational-interfaces

Erdem Özcan is an esteemed expert with a rich background in computer science, focusing on innovations in AI. With a PhD in computer science and significant industry experience, including work on IBM's Watson and at Elemental Cognition, Dr. Özcan has been at the forefront of blending symbolic AI and deep learning systems. Today, he is actively engaged in developing solutions that enhance the reliability and explainability of AI applications.Tune in to this enlightening conversation and gain deeper insights into the future trajectories and current challenges within the world of artificial intelligence as explained by one of the leading thinkers in the field.Key takeaways:- Symbolic vs. Statistical AI: Erdem discusses the critical differences and applications of symbolic AI versus statistical methods, emphasizing the need for reliably representing concepts for efficient AI outcomes.- The Role of Cogent English: Insight into how Cogent, a platform developed by Erdem, assists in translating complex business knowledge into APIs and conversational interfaces using a subset of English tailored for formal reasoning.- Challenges in Generative AI: Exploration of issues that arise with generative AI, particularly around reliability and the operational deployment of reasoning systems.- Development of Neurosymbolic AI: Erdem predicts a significant shift towards hybrid AI architectures that combine both symbolic and deep learning approaches to handle real-life complex scenarios more efficiently.- Importance of Explainability in AI: A discussion on why explainability and the ability to audit AI decisions are crucial, especially as AI systems become more integrated into critical decision-making processes.- Comparison of Formal Reasoning Systems and LLMs: Erdem explains why formal reasoning systems can be more reliable than large language models (LLMs) in complex problem-solving scenarios.Quote from the show:"Translating human expertise into AI systems is not just about feeding data into algorithms. It's about creating structures that allow machines to reason and make decisions transparently and reliably." – Erdem ÖzcanLinks:LinkedIn: https://www.linkedin.com/in/aerdemozcan/Website: https://ec.ai/Ways to Tune In:Earley AI Podcast: https://www.earley.com/earley-ai-podcast-home Apple Podcast: https://podcasts.apple.com/podcast/id1586654770 Spotify: https://open.spotify.com/show/5nkcZvVYjHHj6wtBABqLbE?si=73cd5d5fc89f4781 iHeart Radio: https://www.iheart.com/podcast/269-earley-ai-podcast-87108370/ Stitcher: https://www.stitcher.com/show/earley-ai-podcast Amazon Music: https://music.amazon.com/podcasts/18524b67-09cf-433f-82db-07b6213ad3ba/earley-ai-podcast Buzzsprout: https://earleyai.buzzsprout.com/ Thanks to our sponsors: CMSWire Earley Information Science AI Powered Enterprise Book

Dive into the transformative world of healthcare technology with Steven Michaels, VP of Technology and CTO at Baylor Scott & White Health. Explore how cloud computing, AI, and conversational interfaces are reshaping patient care and IT operations in one of the largest healthcare systems in Texas.With Baylor Scott & White Health encompassing over 50 hospitals and around 700 clinics, Michaels brings a wealth of experience in integrating advanced technology in healthcare settings. This episode unpacks the strategic use of cloud technologies, the evolution of AI in patient interactions, and the emerging role of conversational interfaces in healthcare.You'll learn:1. Steven's effective integration of past IT experiences in new roles2. Strategic IT roadmaps focusing on network and user experience3. Best practices and challenges in healthcare IT management4. The crucial role of empathy and service in healthcare IT5. The potential of AI and cloud in future healthcare tech____________About Steven:Steven Michaels, VP/CTO at Baylor Scott & White Health, excels in C-Suite technology leadership, driving transformative growth and efficiency. With over 20 years of experience, he manages complex operations and IT frameworks. His role involves not only delivering global IT solutions but also managing multi-million dollar operations and developing robust IT infrastructures. With a skill set encompassing P&L management, mergers and acquisitions, and strategic planning, Steven is a catalyst for transformative growth and efficiency in dynamic business environments. Steven holds an MBA, Executive Leadership Certification, a Six Sigma Black Belt, and a Customer Experience Certification.Get in touch with Steven on LinkedIn: https://www.linkedin.com/in/steven-michaels-mba/ ____________About Baylor Scott & White Health:As the largest not-for-profit healthcare system in Texas and one of the largest in the United States, Baylor Scott & White Health was born from the 2013 combination of Baylor Health Care System and Scott & White Healthcare. Today, Baylor Scott & White includes 51 hospitals, more than 800 patient care sites, more than 7,300 active physicians, over 49,000 employees and the Scott & White Health Plan.Website: https://bswhealth.com Industry: Hospitals and Health CareCompany size: 10,001+ employeesHeadquarters: Dallas, TexasFounded: 1903____________About the host Dalarie:Dalarie is a seasoned sales professional with 10+ years of experience spanning hospitality, event management, and technology. A natural conversationalist, she's excited to engage with IT industry leaders, bringing her diverse expertise and genuine charm to every interaction. When not closing deals, you'll find her enjoying the outdoors with her Golden Retriever, Bo.Get in touch with Dalarie via LinkedIn or email podcast@checkmk.com____________Podcast Music:Music by Ströme, used by permission‚Panta Rhei‘ written by Mario Schoenhofer(c)+p 2022, Compost Medien GmbH & Co KGhttps://stroeme.com/ https://compost-rec.com/ This podcast is produced by our friends at SAWOO.

Zor Gorelov is the founder and CEO of Kasisto the conversational AI company focused on Financial Services. Zor has a long history with conversational interfaces, having worked on them at Bell Labs over 30 years ago. He talks to us about his views on how and where to deploy these interfaces. We discuss the success of Kasisto and how it is now deployed in over 50 financial services companies of all sizes across 16 different countries. We then change gears and talk about the impact of Generative AI and KAI-GPT, Kasisto's new product, before moving on to Zor's views on the emergence of Artificial Financial Intelligence and why Kasisto is well-placed to be there at the front of the line when it happens. Zor's perspective on AFI against AGI is fascinating. We also talked a lot about wine!

Guests: Shyamala Prayaga (Senior Software Product Manager, Conversational AI, NVIDIA), Victor Riparbelli (CEO, Synthesia), Molly Duggan (CEO, Molly Duggan Associates), Freddie Feldman (Director, Voice and Conversational Interfaces, Wolters Kluwer Health) Stories for discussion: 1) SoundHound Raises $25M Weeks After Major Layoffs (Voicebot.ai) https://voicebot.ai/2023/01/24/soundhound-raises-25m-weeks-after-major-layoffs/ 2) OpenAI Reportedly Tests ChatGPT Pro. Here's What We Know About The Paid Version (Mashable) https://mashable.com/article/ai-chatgpt-pro-openai 3) Interview With Alexa Fund's Paul Bernard (TechCrunch) https://techcrunch.com/2023/01/24/alexa-funds-paul-bernard-talks-openai-whats-catching-his-eye-and-remaining-relevant-as-amazon-restructures/

Today's guest is Joe Bradley, Chief Scientist, SVP Data Science & ML at LivePerson. Joe was previously the Senior Director for Data and Personalization Science at Nike before joining the team at LivePerson. In this episode, Joe breaks down how LivePerson approaches the conversational interface dynamic with their customers. Joe also discusses some of the challenges in getting to a genuinely conversational level and what's possible today. If you're interested in more NLP use-cases or want to learn more about chatbots or search-and-discovery, be sure to download our free PDF brief “The Executive Guide to NLP” at emerj.com/nlp1.

Today's guest is Shankar Narayanan, Co-Founder, and COO of Active.Ai, a Singapore Head Quartered Fintech startup with an innovation lab in Bengaluru that delivers conversational banking services to help banks and financial institutions redefine their future digital strategy through AI. Shankar speaks to us today about where conversational interfaces belong in banking, where they can get fruitful use, and the areas where it is unrealistic to expect them to deliver value. Are you interested in more NLP use cases, including Conversational Interfaces? Download our free PDF Brief "Unlocking the Business Value of NLP" here: emerj.com/nlp1

Today the great and brilliant Gilad Turbahn, Senior Director of Product Management at Conga (formerly Apttus). Apttus is a leading quote-to-cash company that will put big enterprises on accounts receivable, and they recently merged with Conga, a global leader in commercial operations transformation. Gilad explains this week what they are working on for conversational interfaces with sales folks. The idea of layering on AI is still the wild west to some degree, there are a plethora of potential exciting use cases, and it will be interesting to see which ones evolve and move forward, but this is one use case that I thought you all should hear about. Interested in more use cases? Check out Emerj Plus: emerj.com/p1

First there was the hype around chat bots and then came voice assistants. The latter learned from the mistakes of the former, although they're both very different mediums. Chat bots are text based where as voice assistants by their very nature use voice for interaction and collectively chat bots and voice assistants form a category of user interaction called conversational interfaces. Testing conversational interfaces is complex and requires a different set of testing and quality assurance skills. In this podcast, we speak to Lucian Stroie, an industry expert in the field of testing and quality assurance and learn about the best approaches to testing conversation interfaces so that they achieve business objectives and really click with the end user.

Kom jij ze ook steeds vaker tegen, die hippe chatbots, voice assistants en websites met een conversational interface? En ben je benieuwd hoe ook jij kunt inspelen op deze belangrijke nieuwe trend in digital marketing? Dan help ik je deze week flink op weg met mijn artikel over copywriting voor conversational interfaces. Want, al kun je in conversational interfaces gebruik maken van afbeeldingen, video's en emoji's, het hoofdbestanddeel is toch echt geschreven (of gesproken) tekst. Maar hoe schrijf je nou die interactieve teksten? Is het een vak apart? Eigenlijk wel. Daarom deze introductie tot het schrijven van conversational interfaces. Blijf luisteren tot het einde en je kunt direct zelf aan de slag met jouw conversational interface, of een goede briefing schrijven voor een copywriter.

One of the most intense interactive storytelling experiences I’ve ever had was the Accenture AVEnueS training application for child welfare caseworkers. I was tasked with

Conversational interfaces, chatbots and natural language processing are all integral parts of what we like to call messaging for business. In this episode, Ben Wilde interviews Georgian Partners' Jason Brenier, a new member of the firm's Impact Team with deep expertise in instant messaging and conversational agents. You'll hear about: -What's driving the adoption of conversational interfaces (1:12) -How natural language processing will advance conversational interfaces (3:30) -The techniques being applied in conversational interfaces (6:34) -The evolution of text interaction (7:23) -Automation's role in conversational interfaces (9:08) -Where companies are focusing their efforts on chatbots (10:28) -How sophisticated chatbots are (11:49) -What bot designers should be thinking about from a language perspective (13:18) -Bot design properties you need to keep in mind (14:34) -Key benefits of conversational interfaces (18:35) -Examples of business applications of the technology (19:22)

In this month’s podcast we discuss the effect of Conversational Interfaces on the customer journey and operations, based on insights from the report on the same theme, published by the Capgemini Research Institute. Sophia Ambrono, our host this month discusses the benefits, challenges and the future of conversational interfaces with Andrew Smith, from our Customer Engagement team and Nick Graham, from the Retail Supply Chain Team for his perspective on retail operations.

Sam Sethi talked with Charles Cadbury about the development of their Alexa skill but also we talked about other Alexa features such In-Skill Purchasing (ISP), Alexa Presentation Language (APL) and name skill intent along with the challenges of internationalisation, privacy, voice SEO and developer skill monetisation.The Skill'Book it Now' allows users to search for and book recommended local services using only their voice.Our vision is to enable thousands of local businesses to be bookable via Alexa, which will be available for people to use wherever they are. - Charlie CadburyAlexa cup:Launched by Amazon in 2019 the annual Alexa Cup is a global competition designed to encourage the development of Alexa Skills (voice apps) that solve real-world problems in a way that enhances customer experience while also being commercially viable.

Suhas Uliyar, VP of Digital Assitants/AI, discusses Conversational Interfaces for Your organisation, with built-in machine learning to understand customer intent and maintain context. Suhas talks about Building a digital assistants with Skills with declarative visual design tools. Gartner predicts Conversational AI will supersede 'cloud first, mobile first' as the most important, high level imperative in the next 10 years.

Welcome back to What’s NEXT, the podcast exploring the future of technology. In this episode, Ryan talks with CEO and co-founder Arte Merritt about how Dashbot gives companies a better understanding of user behavior and engagement with actionable bot analytics.

SHOW NOTESConversational data more preference richMore actionable dataNavigation fasterCustom apps are deadVoice interfaces have a more personal feelTechnology and users are preparedPhones Smart speakersIoTUnifying platformsFrictionless experience for consumer and salesInherently personalized experienceConversational interfaces convert at a higher rateWill change the way we do designPersonasConversation flows - think script writersAnticipatoryContext cuesPrioritize data and guides to move the conversation alonghttps://kaleidico.com/podcast/episode-20-will-conversational-interfaces-replace-your-website/

The panel discusses using bots to interact with users and systems in an enterprise setting.

In this episode, Paul and Mike welcome back their colleague John Sprunger, Senior Architect in West Monroe Partners' Technology practice, to give us an update on three key emerging technologies that were highlighted last year as opportunities for CX professionals to support or lead experimentation efforts to improve the customer experience for their organization, including: Conversational Interfaces (chat bots), Robotic Process Automation (RPA), and Machine Learning (ML).

Why Chatbots Are More Important Than You Think --- Send in a voice message: https://anchor.fm/thinkfuture/message Support this podcast: https://anchor.fm/thinkfuture/support

Today, I want to focus on the strong stance Chinese companies have on voice technology and smart assistants and how they are driving a low cost smart assistant market. See acast.com/privacy for privacy and opt-out information.

In this podcast I talk with Murat Özmerd, CXO (Customer Experience Officer) & Co-Founder for Flow.ai, their software empowers users to create conversational interfaces and makes it easy to publish them on services like Amazon Alexa, Google Assistent and chat channels like Facebook Messenger and their own Live chat.

In this Bits vs Bytes podcast I talk with Murat Özmerd, CXO (Customer Experience Officer) & Co-Founder for Flow.ai, their software empowers users to create conversational interfaces and makes it easy to publish them on services like Amazon Alexa, Google Assistent and chat channels like Facebook Messenger and their own Live chat. You can find […]

You decided to enter voice tech and smart speakers market. You want to be ahead of the game and you took the leap to create Alexa skills and Google Actions, now what? How are you going to use the data you get to your strategic advantage? See acast.com/privacy for privacy and opt-out information.

In this episode Dave chats with Pilar Manchon, Director of Cognitive Interfaces at Amazon. Pilar has a long history in AI and is fluent in multiple spoken languages. The two discuss human context, personal biases we bring, and cultural aspects of spoken language. What does all of this mean for conversational interfaces and what should be thinking about today in your own voice drive experience? Pilar's Twitter: http://twitter.com/pilarmanchon

Die Fähigkeiten von Chatbots entwickeln sich derzeit rapide weiter. Schon heute spielen sie in der Kundenkommunikation eine bedeutende Rolle und es ist davon auszugehen, dass ihre Fähigkeiten und Einsatzmöglichkeiten in Zukunft weiter zunehmen. Was ist aber eigentlich genau ein Chatbot? Wie intelligent ist er wirklich? Wie lässt er sich einsetzen? Für welche Branchen ist das Thema interessant und wie kommt man als Unternehmen an seinen eigenen, maßgeschneiderten Bot?   Darüber spreche ich mit meinem heutigen Gast. Sie hat an der Fachhochschule Würzburg-Schweinfurt E-Commerce studiert und danach im In- und Ausland einschlägige Erfahrungen in der Tech-Branche gesammelt. Im Juni 2017 hat sie dann zusammen mit drei Co-Foundern das Startup: Botfriends in Würzburg gegründet. Hier ist sie als CMO verantwortlich für das Marketing und die User Experience. Botfriends ist spezialisiert auf Conversational Interfaces und hat bereits erste zukunftsweisende Projekte für Unternehmen wie Porsche und Cookhouse Lab in Toronto realisiert. Viel Spaß mit der heutige Podcast Folge und meinem Interviewgast Michelle Skodowski.   Kurzportrait von Michelle Sodowski Michelle Skodowski ist Co-Founderin von BOTfriends, ein Startup, welches sich auf Conversational Interfaces spezialisiert hat Außerdem hat sie an der FH Würzburg-Schweinfurt E-Commerce studiert und danach im In- und Ausland Erfahrungen in der Tech-Branche gesammelt   Wir sprechen u.a. über folgende Dinge: Wie kam Michelle Skodowski in die IT-Branche? Warum gibt es wenig Frauen in Tech-Unternehmen? Was genau macht BOTfriends? Bei was genau kann ein Bot helfen? Wer ist die Zielgruppe von BOTfriends? Wie hoch ist das Einstiegsbudget für einen Chatbot? Wie hat BOTfriends künstliche Intelligenz für ihre Chatbots eingebaut? Wie kann man ein Chat-Bot menschlicher gestalten? Wie sah die Gründungsphase von BOTfriends aus? Gibt es ein Passion-Project bei BOTfriends? Wie ist BOTfriends finanziert?   Shownotes: LinkedIn Xing Slack G Suite The Talent Code (Daniel Coyle) The Subtle Art of Not Giving a F*ck (Mark Manson)   Noch ein wichtiger Aufruf: Es geht nicht ohne dich. Und deshalb ist es sehr wichtig, dass du diesen Podcast mit deiner Bewertung bei iTunes unterstützt. Denn durch deine Bewertung rankt dieser Podcast bei iTunes entsprechend höher und schafft höhere Aufmerksamkeit, wodurch mehr Fragen an mich gestellt werden, mehr Interaktion stattfindet und dieser Podcast einen Dialog erfährt und damit lebendig gestaltet werden kann - nicht nur von mir, sondern von uns allen. Vielen Dank also jetzt schon für deine Bewertung bei iTunes.   Frisches Hörfutter direkt auf dein Smartphone Du kannst nun umgehend auf dem Messenger deiner Wahl über neue Podcast-Episoden, Blogbeiträge, Newsletter und Aktionen auf dem Smartphone informiert werden und die Inhalte auch gleich abrufen. Zusätzlich kannst Du dem MARKENREBELL auch Anregungen, Fragen oder andere Feedbacks senden, die dieser dann auf dem kurzen Weg gerne beantwortet. Wie das funktioniert, erfährst du hier.   Klicke hier und wir versorgen dich kostenfrei einmal im Monat mit den wichtigsten Informationen in unserem Newsletter. Wenn dir der Artikel gefallen hat, teile ihn bitte in deinen Netzwerken, dadurch unterstützt du uns enorm! Danke!!!Support the show (https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=2PU5W9H752VZJ&source=url)

Chatbots, er… maybe we really mean Conversational Interfaces… are becoming more and more ubiquitous and part of our every day business and consumer lives. There’s a wide variety of both text- and voice-based conversational interfaces and devices. But the ones we’re most familiar with are the voice-based ones that sit on our countertops and office desks. Read more ...

This is yet another episode of Interfaz live from .NET Conf CO 2017 in Medellin! Software designed and built to be used through a conversation via text or voice? Conversational Interfaces are here to stay!  Thanks to the Bot Framework and Azure’s Language Understanding Intelligent Service (LUIS), nowadays we can develop applications that leverage AI … Continue reading Interfaz Podcast Episodio 65–Live from .NET Conf CO 2017–Conversational Interfaces with Rabeb Othmani (in English) The post Interfaz Podcast Episodio 65–Live from .NET Conf CO 2017–Conversational Interfaces with Rabeb Othmani (in English) appeared first on Rodrigo Díaz Concha.

In this episode, Mike and Paul are joined by John Sprunger, a Senior Manager in West Monroe's Technology practice to talk about Conversational Interfaces and Chatbots - what they are, why they're valuable, how to get started, what challenges exist. At the end, we talk about the potential impact on CX of talking to machines, instead of humans, and the ability to deliver a great experience to customers.

In this session, discover how to build a multichannel conversational interface that leverages a preprocessing layer in front of Amazon Lex. This preprocessing layer can enable customers to integrate their conversational interface with external services and use multiple specialized Amazon Lex chatbots as part of an overall solution. As an example of how to integrate with an external service, learn how to integrate with Skype. Watch it in action through a chatbot demonstration with interaction through Skype messaging and voice.

Welcome to Floor 9! This week we talk about Conversation Interfaces. Chatbots, Alexa, Google Home and Siri are at the forefront of this episode and who better to help us dissect this topic then our special guest, Alexa! She joins the IPG Media Lab team this week to discuss how the very nature of communicating between human and machine is changing. Download and listen now! What We Covered: A definition of Conversational Interfaces Discussion on where these devices will have an impact Recommendations on how to best activate in the space as a brand Alexa has a most excellent dad joke See acast.com/privacy for privacy and opt-out information.

One of my favorite conferences of the year this week with Oracle Openworld, mainly because Oracle is a company that competes in a variety of business application categories. And they do have apps for the higher end of the SMB space. Unfortunately I was unable to attend this year, but very fortunate to speak with Suhas Uliyar, Oracle’s VP of Bots, AI and Mobile Strategy. With artificial intelligence, bots and voice-first devices being three of the hottest topics today, I was glad Suhas took some time to share his thoughts on how customer engagement is being shaped in realtime by these technologies

The show you’re about to hear is part of a series of shows recorded in San Francisco at the Artificial Intelligence Conference. My guest for this show is Paul Tepper, worldwide head of cognitive innovation and product manager for machine learning & AI at Nuance Communications. Paul gave a talk at the conference on critical factors in building successful AI-powered conversational interfaces. We covered a bunch of topics, like voice UI design, behavioral biometrics and a ton of other interesting things that Nuance has in the works. The notes for this show can be found at twimlai.com/talk/52

Customers expect personalized experiences but most companies fail to deliver. And that is especially true for conversational interfaces. In this episode, Senior Analyst Jenny Wise talks about the expectations of a human-like interaction and where the technology for conversational interfaces (e.g., Amazon Alexa) needs to advance. Click the titles below to read more: Q&A: Why Emerging Technologies […] The post 109: Where The Conversation Must Go, For Conversational Interfaces appeared first on The CX Cast ® by Forrester.

Chat bots basics 101 is a session to cover, what is chat bot, types of chatbots and role of Natural Language Processing & Artificial Intelligence, machine learning. After listening this podcast you can embark a journey to world of Virtual Assistants and how they work. As the organizations have started working on Conversational Interfaces (chat […] The post Chatbots Basics 101, role of Natural Language Processing, Artificial Intelligence and machine learning appeared first on Open Tech Talks - Technology worth Talking.

  In this episode of the conversation factory I had the distinct pleasure of talking with Nandini Stocker, the head of conversation design advocacy and partnerships at Google. She's the rare individual who is more of a conversation design geek than me, to the point that she interrupted me just to make a point about how awkward interruptions are! We cover a sprawling number of topics in conversation design, and you might enjoy downloading Google's PDF on "How Conversations Work" and read along! I think just knowing that threading, repair and turn taking are *things* means you can look for them in your own work and find ways to transform conversation experiences that you design. David Bohm, the storied physicist, wrote a book called "on dialogue" and said "Conversation is a principled, mutual process of collaboration and negotiation." So I shouldn't be surprised when Google's map of how conversations work matches exactly to the process of opening, exploring and closing I teach groups to follow when designing a creative, collaborative process for design thinking and innovation. Opening a channel for conversation is like the invitation into a cooperative game, a world to explore and engage with, and every leader needs to think empathically to design these invitations to be...inviting! Finding places along a conversation journey where there is breakage leads us to think about how to repair the thread of conversation and keep things moving along towards closure: a desired action or agreement! We've be conversing for thousands of years, and we've gotten pretty good at it. But being good at something doesn't mean you know how to teach someone else how. Nandini's work is specifically on how to help us talk to digital agents with more natural ease.  We spoke a few weeks ahead of Google's I/O conference, and she's since sent me a wealth of talks that happened there that you might enjoy digging into. One of my favorites is about Conversational Hacks, where one of her colleges digs into the cooperative principle, a way of helping us think about how relevant, clear and helpful information is exchanged at a steady pace in a good conversation. Compare two exchanges: "How much did your shirt cost?" "Don't you love it? I got it at Vinnie's Vintage Warehouse!"   vs. "Don't you love it? Shirt has five letters and five is my favorite number!" To a computer, both responses contain about the same "amount" of information, but only a human conversationalist can tell that the information is irrelevant and unhelpful...at least for now! If you want to hear Nandini tell one of the worst/best Harry Potter puns ever (She calls puns the earworms of the English language, check out this short outtake.   Show Notes and Links: Grice's Maxims in brief and extended Threading and building threads Seven of Nine Turn Taking and Yielding Conversation Repair conversation overlap Personality in digital agents: discourse markers Google: How Conversations Work Google's quick reference design principles for conversation design Amplifying Women's Voices in Obama's oval office Barge In capability The Uncanny Valley On Inner Dialogue Clifford Nass on Multitasking and his Obit Prosody Bonus: Core talks from the Google Team from IO17: This one is my favorite: Applying Built-in Hacks of Conversation to Your Voice UI  Building Apps for the Google Assistant  Finding the Right Voice Interactions for Your App  Defining Multimodal Interactions: One Size Does Not Fit All In Conversation, There Are No Errors Getting Your Assistant App Discovered How Words Can Make Your Product Stand Out PullString: Storytelling in the Age of Conversational Interfaces  Google's VUI design codelab: Crafting a Character: Design an engaging Assistant app Some solid talks from IXD17 on chatbots and conversational UIs: and the pun game  

The O'Reilly Design Podcast: The VUI tools ecosystems, and voice gender and accent selections.In this week’s Design Podcast, I sit down with Cathy Pearl, director of user experience at Sensely and author of Designing Voice User Interfaces. We talk about defining conversations, the growing tools ecosystems, and how voice has lessened our screen obsession.Here are a few highlights from our conversation: What constitutes a conversation? To me, I do have a definition of ‘conversational.’ I was talking about this at O’Reilly Bot Day last week. For example: my Amazon Echo. I don’t view the Amazon Echo generally as conversational because most of the things I do are one-offs. I’ll say, ‘What time is it?’ or ‘Turn on the lights’ or ‘Set a timer,’ and she’ll give me one response, and we’re done. If I go up to you and say, ‘How are you doing today?’ and you say, ‘Fine,’ and then we turn and walk away, I don’t really see that as having a conversation. That would not be a very good conversation. One of my definitions for ‘conversational’ is that it has to have more than one turn. A lot of times, with a lot of these voice assistants—let’s say, you can do multiple turns but they don’t remember what you said before. Each turn is like a brand-new conversation, which would be really annoying if you were talking to somebody and every time you said something, they didn’t remember anything you told them before. In relation to that, they really need to understand pronouns. This is something that humans or toddlers can understand. I can tell a toddler to, ‘Go get the red ball out of the green box,’ and it knows it. The kid knows that I want the red ball. Computers have a really hard time with that. It’s starting to improve. Google, especially, I think, is working hard on this task. I've heard that with Google Home, they’re going to be better about that kind of thing, but those are some of the things I think systems need to be conversational, and that could be either through voice or through text. Designing for how people talk not how you want them to talk My biggest principle and advice is to design for how people actually talk and not how you want them to talk. I think as designers and developers, we get very focused on whatever we’re building, and we think it’s very obvious: ‘Yes, the user will know what they can say here.’ It’s really not true. Especially if you're designing something like a virtual assistant, like Siri. She says, ‘How can I help you?’ That really sets up the user for failure in a lot of cases because you really can’t just say anything. There’s a limited number of things you can say. We need to spend a lot of time thinking about how will we communicate with the user, what they can actually say. There’s different ways to do that. One thing that’s really important is when you're first designing your system, spend a lot of time writing what we call sample dialogues, which are essentially back-and-forth conversations, like a film script between the voice user interface and the user. You write these down. Then, you read them out loud with somebody. You learn very quickly—if I wrote the system and I am reading my voice user interface prompts, and then I have someone else responding, I learn very quickly, ‘Really, someone would say that? I didn’t expect that.’ You can really build your system well from the beginning by doing some simple design exercises like that. Another thing that’s really important to understand about voice is that speech recognition is not perfect. Yes, it’s way, way, way, way better than it used to be, but it still makes a lot of mistakes. You have to build a graceful error recovery into every voice system no matter what. I don’t think, personally, that it will ever be a 100%. Accurate human speech recognition is certainly not 100% accurate. You have to spend a lot of time thinking about your error recovery. The tools ecosystem I’m actually very excited right now because I think we’re starting to see a lot of tools actually come out, and I’m looking forward to learning a lot of them. For example, there’s a company called PullString. They used to be called ToyTalk. They made the Hello Barbie and some kids’ apps like the Winston Show. They just put out an authoring tool. I downloaded it. I'm really looking forward to trying that for creating new sample dialogues, new stories. Then, there are things like TinCan.ai out of Conversant Labs, which I think will be really great for doing prototyping, which is something we’re solely lacking in the real world, the ability to do quick prototyping. Then, you’ve got a mixture other tools from places like API.AI, which was bought by Google; Nuance’s Mix; Wit.ai, which is Facebook. These allow you to build models by giving a lot of sample sentences and having that learned. For example, if you’re trying to build a calendar VUI, you might put a bunch of sample sentences in about how I want to schedule an appointment. It can learn from those examples so that when somebody says something new that you didn’t already write down, it can still understand. I’m just very excited that these tools are finally coming out. It’s always been the Holy Grail of the voice user interface, where we were always trying to build tools at Nuance. It’s very difficult to do. Hopefully, we’re really getting to the point where they’re workable.

The O'Reilly Design Podcast: The VUI tools ecosystems, and voice gender and accent selections.In this week’s Design Podcast, I sit down with Cathy Pearl, director of user experience at Sensely and author of Designing Voice User Interfaces. We talk about defining conversations, the growing tools ecosystems, and how voice has lessened our screen obsession.Here are a few highlights from our conversation: What constitutes a conversation? To me, I do have a definition of ‘conversational.’ I was talking about this at O’Reilly Bot Day last week. For example: my Amazon Echo. I don’t view the Amazon Echo generally as conversational because most of the things I do are one-offs. I’ll say, ‘What time is it?’ or ‘Turn on the lights’ or ‘Set a timer,’ and she’ll give me one response, and we’re done. If I go up to you and say, ‘How are you doing today?’ and you say, ‘Fine,’ and then we turn and walk away, I don’t really see that as having a conversation. That would not be a very good conversation. One of my definitions for ‘conversational’ is that it has to have more than one turn. A lot of times, with a lot of these voice assistants—let’s say, you can do multiple turns but they don’t remember what you said before. Each turn is like a brand-new conversation, which would be really annoying if you were talking to somebody and every time you said something, they didn’t remember anything you told them before. In relation to that, they really need to understand pronouns. This is something that humans or toddlers can understand. I can tell a toddler to, ‘Go get the red ball out of the green box,’ and it knows it. The kid knows that I want the red ball. Computers have a really hard time with that. It’s starting to improve. Google, especially, I think, is working hard on this task. I've heard that with Google Home, they’re going to be better about that kind of thing, but those are some of the things I think systems need to be conversational, and that could be either through voice or through text. Designing for how people talk not how you want them to talk My biggest principle and advice is to design for how people actually talk and not how you want them to talk. I think as designers and developers, we get very focused on whatever we’re building, and we think it’s very obvious: ‘Yes, the user will know what they can say here.’ It’s really not true. Especially if you're designing something like a virtual assistant, like Siri. She says, ‘How can I help you?’ That really sets up the user for failure in a lot of cases because you really can’t just say anything. There’s a limited number of things you can say. We need to spend a lot of time thinking about how will we communicate with the user, what they can actually say. There’s different ways to do that. One thing that’s really important is when you're first designing your system, spend a lot of time writing what we call sample dialogues, which are essentially back-and-forth conversations, like a film script between the voice user interface and the user. You write these down. Then, you read them out loud with somebody. You learn very quickly—if I wrote the system and I am reading my voice user interface prompts, and then I have someone else responding, I learn very quickly, ‘Really, someone would say that? I didn’t expect that.’ You can really build your system well from the beginning by doing some simple design exercises like that. Another thing that’s really important to understand about voice is that speech recognition is not perfect. Yes, it’s way, way, way, way better than it used to be, but it still makes a lot of mistakes. You have to build a graceful error recovery into every voice system no matter what. I don’t think, personally, that it will ever be a 100%. Accurate human speech recognition is certainly not 100% accurate. You have to spend a lot of time thinking about your error recovery. The tools ecosystem I’m actually very excited right now because I think we’re starting to see a lot of tools actually come out, and I’m looking forward to learning a lot of them. For example, there’s a company called PullString. They used to be called ToyTalk. They made the Hello Barbie and some kids’ apps like the Winston Show. They just put out an authoring tool. I downloaded it. I'm really looking forward to trying that for creating new sample dialogues, new stories. Then, there are things like TinCan.ai out of Conversant Labs, which I think will be really great for doing prototyping, which is something we’re solely lacking in the real world, the ability to do quick prototyping. Then, you’ve got a mixture other tools from places like API.AI, which was bought by Google; Nuance’s Mix; Wit.ai, which is Facebook. These allow you to build models by giving a lot of sample sentences and having that learned. For example, if you’re trying to build a calendar VUI, you might put a bunch of sample sentences in about how I want to schedule an appointment. It can learn from those examples so that when somebody says something new that you didn’t already write down, it can still understand. I’m just very excited that these tools are finally coming out. It’s always been the Holy Grail of the voice user interface, where we were always trying to build tools at Nuance. It’s very difficult to do. Hopefully, we’re really getting to the point where they’re workable.