📣 The results are in! In a BLEND Localization survey of 175 contact center pros, 80% say voice talent quality matters to overall #CX… and that makes sense, because 71% still see higher volume on the phone than other contact channels. Check the link in the comments below to get the full breakdown on what the experts have to say about AI voice, machine learning, multilingual support, UI design, and more!
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Senior Product Manager | Love to Turn Ideas into Reality | Specialized in HealthCare Telecom Fintech eCommerce Products | Crafting Strategies to Elevate Brands | Transforming Product Portfolios & Driving Business Growth
𝗧𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲 𝗶𝘀 𝗦𝗽𝗲𝗮𝗸𝗶𝗻𝗴: 𝗠𝗮𝘀𝘁𝗲𝗿𝗶𝗻𝗴 𝗩𝗼𝗶𝗰𝗲 𝗮𝗻𝗱 𝗖𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗨𝗜 Voice and conversational UI are revolutionizing how we interact with technology. As a product manager, understanding this space is crucial. 𝗞𝗲𝘆 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗲𝘀: 1. User-centered design with NLU (Natural Language Understanding - Intuitive, natural interactions, and Process Human Language effectively) 2. Incorporate user feedback to enhance AI responses & adaptability. 3. Develop multi-turn interactions for maintaining the context. 4. Ensure cross-platform compatibility 5. Enable third-party integrations 6. Continuously train AI models on latest data 7. Rigorous testing in various scenarios 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀: 1. Complexity of Human Language 2. Diverse Linguistic dialects & accents 3. High standard of immediate response as accurate as Humans 4. Manage user patience level 5. Speech recognition errors 6. Security and privacy 7. Handling load Voice and conversational UI aren't just cool tech—they're solving real problems across industries. 𝗨𝘀𝗲𝗖𝗮𝘀𝗲𝘀: 1. Self Service Kiosks 2. Voice-Controlled Smart Home 3. Personalized Recommendations 4. Appointment Scheduling in HealthCare 5. Shopping Assistant in Retail 6. Content Navigation based on voice commands 7. Voice-based transactions for Multi environments #VoiceUI #ConversationalAI #ProductInnovation #FutureTech #ProductManagement"
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UX @ IBM | Enterprise UX | UX Researcher | ex-EY, Human Factors, BCG | 🚀 I Help Companies Hit Key Product Matrices using UX Research & Design
Biased Data Ruins AI UX: How? Have you experienced how poor data quality can wreak havoc on AI-driven UX? Imagine a customer service chatbot consistently misunderstanding non-native English speakers. A bot, trained mainly on North American data, interprets "Where is my parcel?" from an Indian user as a complaint, not a delivery inquiry. Frustrating exchanges and unnecessary escalations follow. Here training data lacks diversity in language patterns and cultural contexts. By incorporating a globally diverse dataset, you see a accuracy boost for non-native English speakers. The lesson? Diverse, high-quality data is crucial for inclusive AI. It's not just about more data, but data that truly represents your entire user base. #AIEthics #UXDesign #InclusiveAI #DataQuality
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OpenVoice V2: Evolving Multilingual Voice Cloning with Enhanced Style Control and Cross-Lingual Capabilities https://lnkd.in/dbqh3ED8 OpenVoice V2 is an advanced text-to-speech model that allows voice cloning in multiple languages, breaking language barriers. It has practical applications such as personalized digital interfaces, multilingual virtual assistants, and automatic dubbing. This model offers high-quality audio and supports English, Spanish, French, Chinese, Japanese, and Korean. It allows precise control over voice styles, including emotion and accent, without relying on the reference speaker's style. OpenVoice V2 also accomplishes cross-lingual voice cloning, even for languages not in its training data, while maintaining computational efficiency and real-time inference capabilities. By separating tone color cloning from other voice styles and languages, OpenVoice V2 provides greater flexibility and offers its source code and model weights for future research. For practical AI implementation: - Identify customer interaction points that can benefit from AI. - Ensure AI efforts have measurable impacts on business outcomes. - Choose tools that align with your needs and allow customization. - Start with a pilot, collect data, and expand AI usage carefully. For a practical AI solution, consider the AI Sales Bot from itinai.com/aisalesbot. This bot is designed to automate customer engagement 24/7 and manage interactions across all customer journey stages. Useful Links: - AI Lab in Telegram @itinai – free consultation - Twitter – @itinaicom #productmanagement #ai #ainews #llm #ml #startup #innovation #uxproduct #artificialintelligence #machinelearning #technology #ux #datascience #deeplearning #tech #robotics #aimarketing #bigdata #computerscience #aibusiness #automation #aitransformation
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With the rise of Chat GPT, businesses are eagerly adopting AI to build better and faster. Recently, I delved into the world of AI solutions like Chat GPT and Gemini to enhance User Experience design. The results were mind-blowing! Imagine being able to share a prompt and get end-to-end Information architecture, personas, wireframes, content, images, icons, etc. in just a few seconds. What's more, what if they are editable on Figma You can even add your own colours or let AI pick them from your logo and generate the UI! What if you can just say make the UI look like xyz app and Viola! Isn't that fascinating? Stay tuned for the demo, as the future of design is coming!
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Product Manager with strong UX design backgroud| Product Designer | Leading Teams to Build Exceptional Products | Specializing in Fintech(Lending/Payments) & Telecommunication
🚀 Currently taking Product School's Artificial Intelligence Micro-Certification (AIC)™️ and excited to share some insights Let's talk about AI-Native UX! 🤖✨ AI-Native UX focuses on designing seamless user experiences that leverage the capabilities of artificial intelligence (AI) systems. Key aspects include: Seamless Integration: AI features should seamlessly blend into the user interface and workflow. Intuitive Interactions: Designing intuitive interactions that leverage AI functionalities like natural language processing and predictive analytics. Personalization: AI systems analyze user behavior to deliver personalized recommendations and responses. Contextual Awareness: Understanding and responding to the user's current context for more relevant interactions. Feedback Loops: Continuous learning and improvement based on user feedback. Excited to see how AI-Native UX transforms digital experiences! 💡 #AI #UserExperience #LinkedInPost Overall, AI-Native UX aims to leverage the capabilities of artificial intelligence to create more intelligent, adaptive, and user-centric experiences that anticipate and fulfill user needs and preferences.
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Voice User Interfaces (VUI): Revolutionizing the Way We Interact with Technology The Rise of VUI: Voice User Interfaces have surged in popularity thanks to the proliferation of virtual assistants like Siri, Alexa, and Google Assistant. This surge can be attributed to the seamless integration of natural language processing, machine learning, and artificial intelligence, transforming spoken words into actionable commands. The result? A hands-free and intuitive interaction with technology that feels almost magical. Beyond Convenience: The Human Touch: Unlike traditional UIs, which rely heavily on visual and tactile elements, VUI adds a layer of emotional connection by tapping into the most natural form of communication — speech. The tone, pitch, and cadence of a voice can convey emotions that transcend the limitations of text or graphics, creating a more human-like interaction. This emotional element is a game-changer, enhancing user experience and fostering a deeper connection with technology. Designing for Voice: Creating a successful VUI involves more than just incorporating speech recognition technology. It requires a thoughtful approach to design that considers the nuances of human conversation. Designers must account for various accents, speech patterns, and cultural differences to ensure a universally accessible and inclusive experience. The challenge lies in crafting interfaces that are both intuitive and accommodating, providing a smooth interaction for users of all backgrounds. Personalization and Context Awareness: VUIs are not just about understanding commands; they are about comprehending context and personalizing user experiences. Advanced VUI systems can learn user preferences, adapt to individual speech patterns, and anticipate needs based on historical interactions. This level of personalization enhances user satisfaction and creates a sense of technology that understands and caters to individual preferences, making the interface feel more like a helpful companion than a mere tool. The Future Sounds Bright: As VUI technology continues to evolve, we can expect even more seamless integration into our daily lives. From smart homes to automobiles, the potential applications are vast. The ability to control and communicate with devices effortlessly through voice commands is not just a technological convenience but a leap toward a more inclusive, accessible, and emotionally resonant future. Conclusion: Voice User Interfaces are more than a technological novelty; they represent a paradigm shift in the way we interact with our devices. By harnessing the power of human speech, VUIs bridge the gap between man and machine, offering a more natural, intuitive, and emotionally connected user experience. As designers continue to refine and expand the capabilities of VUI, the symphony of voices guiding our technology is poised to become an indispensable and harmonious part of our daily lives.
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Voice User Interfaces (VUI): Revolutionizing the Way We Interact with Technology The Rise of VUI: Voice User Interfaces have surged in popularity thanks to the proliferation of virtual assistants like Siri, Alexa, and Google Assistant. This surge can be attributed to the seamless integration of natural language processing, machine learning, and artificial intelligence, transforming spoken words into actionable commands. The result? A hands-free and intuitive interaction with technology that feels almost magical. Beyond Convenience: The Human Touch: Unlike traditional UIs, which rely heavily on visual and tactile elements, VUI adds a layer of emotional connection by tapping into the most natural form of communication — speech. The tone, pitch, and cadence of a voice can convey emotions that transcend the limitations of text or graphics, creating a more human-like interaction. This emotional element is a game-changer, enhancing user experience and fostering a deeper connection with technology. Designing for Voice: Creating a successful VUI involves more than just incorporating speech recognition technology. It requires a thoughtful approach to design that considers the nuances of human conversation. Designers must account for various accents, speech patterns, and cultural differences to ensure a universally accessible and inclusive experience. The challenge lies in crafting interfaces that are both intuitive and accommodating, providing a smooth interaction for users of all backgrounds. Personalization and Context Awareness: VUIs are not just about understanding commands; they are about comprehending context and personalizing user experiences. Advanced VUI systems can learn user preferences, adapt to individual speech patterns, and anticipate needs based on historical interactions. This level of personalization enhances user satisfaction and creates a sense of technology that understands and caters to individual preferences, making the interface feel more like a helpful companion than a mere tool. The Future Sounds Bright: As VUI technology continues to evolve, we can expect even more seamless integration into our daily lives. From smart homes to automobiles, the potential applications are vast. The ability to control and communicate with devices effortlessly through voice commands is not just a technological convenience but a leap toward a more inclusive, accessible, and emotionally resonant future. Conclusion: Voice User Interfaces are more than a technological novelty; they represent a paradigm shift in the way we interact with our devices. By harnessing the power of human speech, VUIs bridge the gap between man and machine, offering a more natural, intuitive, and emotionally connected user experience. As designers continue to refine and expand the capabilities of VUI, the symphony of voices guiding our technology is poised to become an indispensable and harmonious part of our daily lives.
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Read my latest article on the future of digital interaction with AI-driven Conversational User Experience (CUX). Discover how CUX is revolutionizing tech accessibility, personalization, engagement, and efficiency. Don't miss it! #ConversationalUX #AI #ConversationalAI #DigitalTransformation #UXDesign https://lnkd.in/gh5ZbyDz
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AI Consulting & Building Agentic AI apps @agentware.ai • MindStudio Agency Partner • Author "AGENTWARE: Unveiling AI's Future" • Pioneered Web3 Tokenization Platform • xVP Scotiabank (Risk,IS,CDO,Data Gov),Deloitte,PwC
✨In the Agentic AI Era, Voice is the New UI . We’re on the cusp of a new era in user experience, one that redefines how people interact with businesses and technology. As we transition into what I call “The Agentic Enterprise,” we’ll see the lines between human and machine interaction blur. Nowhere is this more evident than in the rise of voice as the new user interface (UI). Continue reading: https://lnkd.in/g-5KjE9A h/t Sierra Bret Taylor
In the Agentic AI Era, Voice is the New UI
agentware.substack.com
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Mastering the Art of Conversation: Design Principles for Seamless VUI Experiences In the rapidly evolving landscape of user interfaces, Voice User Interfaces (VUIs) stand out for their ability to mimic natural human conversation, making interactions with technology more intuitive and engaging than ever. But what goes into creating a seamless VUI experience? The design principles that guide this transformative journey are outlined and briefly explained below: Key Design Principles: Natural Language Processing: Designing VUIs that understand and respond to natural, conversational language. . Contextual Awareness: Ensuring VUIs can interpret user intent based on context for more accurate responses. Feedback Loops: Implementing immediate and clear audio or visual feedback to confirm user actions and system status. Multimodal Interaction: Combining voice with visual elements to enhance understanding and usability. Error Handling: Designing for graceful error recovery, offering users helpful suggestions or alternatives when things go awry. I have learned the critical importance of these principles in crafting an experience that feels natural and fluid. It is not just about what the technology can do; it is about understanding how people want to interact with it. Are you working on VUI projects? What design principles do you find most impactful? Share your experiences and let us discuss how we can elevate the art of conversation with technology. Stay tuned for my next post, where I will share practical tips and real-world examples of seamless VUI experiences that have set a new standard in user interaction. I hope this helps. Connect and follow for more interesting UX posts. #VUI #VoiceUserInterface #UXDesign #DesignPrinciples #UserExperience #VoiceTechnology #Innovation
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