VUX World

Generative AI has changed everything - from how we build to how we design. In this episode, we’re joined by Alex Shin, Senior Product Designer at Prudential Financial, to talk about how UX is evolving in the age of LLMs. Alex shares his journey from studying Social Policy to UX and conversation design, including how he helped launch Prudential’s first customer-facing chatbot in 2022. We talk about how Prudential’s NLU-based chatbot is consistently getting customer satisfaction scores above industry standards and how the company is exploring generative AI solutions for both internal and customer-facing services. We also dive into the collaboration between design and tech teams at Prudential, and how this partnership ensures solutions are technically feasible while prioritising user needs. This episode is for designers navigating the transition to generative AI, tech leaders trying to balance innovation with user experience and anyone interested in how big financial institutions are using AI to improve customer service. This episode is brought to you by NLX. NLX [https://nlx.ai/?utm_source=vux&utm_medium=email&utm_campaign=may-takeover] is a conversational AI platform enabling brands to build and manage chat, voice and multimodal applications. NLX’s patented Voice+ technology synchronizes voice with digital channels, making it possible to automate complex use cases typically handled by a human agent. When a customer calls, the voice AI guides them to resolve their inquiry through self-service using the brand’s digital asset, resulting in automation and CSAT scores well above industry average. Just ask United Airlines [https://nlx.ai/news/empowering-travelers-through-ai-united-airlines-self-service-revolution?utm_source=vux&utm_medium=email&utm_campaign=may-takeover]. Shownotes: Subscribe to VUX World: https://vuxworld.typeform.com/to/Qlo5aaeW Subscribe to The AI Ultimatum Substack: https://open.substack.com/pub/kanesimms Get in touch with Kane on LinkedIn: https://www.linkedin.com/in/kanesimms/ ---------------------------------------- Hosted on Acast. See acast.com/privacy [https://acast.com/privacy] for more information.

What if the most exciting AI agent innovation isn’t happening in the enterprise, but in the mid-market? In this episode, we unpack Voiceflow’s explosive growth, the shift from flowcharts to frameworks, and why success today isn’t about having the smartest model, but about how you deploy it. We explore how to build reliable, production-grade agents, the rise of self-improving systems, and the emergence of agent-to-agent orchestration. And while mid-market companies are moving fast, Braden explains why enterprise adoption is inevitable, and what it’ll take to reach that tipping point. Congratulations to Braden on making his fourth appearance on the VUX World podcast! This episode is brought to you by NLX. NLX [https://nlx.ai/?utm_source=vux&utm_medium=email&utm_campaign=may-takeover] is a conversational AI platform enabling brands to build and manage chat, voice and multimodal applications. NLX’s patented Voice+ technology synchronizes voice with digital channels, making it possible to automate complex use cases typically handled by a human agent. When a customer calls, the voice AI guides them to resolve their inquiry through self-service using the brand’s digital asset, resulting in automation and CSAT scores well above industry average. Just ask United Airlines [https://nlx.ai/news/empowering-travelers-through-ai-united-airlines-self-service-revolution?utm_source=vux&utm_medium=email&utm_campaign=may-takeover]. Shownotes: Discover Voiceflow: https://www.voiceflow.com/ Subscribe to VUX World: https://vuxworld.typeform.com/to/Qlo5aaeW Subscribe to The AI Ultimatum Substack: https://open.substack.com/pub/kanesimms Get in touch with Kane on LinkedIn: https://www.linkedin.com/in/kanesimms/ ---------------------------------------- Hosted on Acast. See acast.com/privacy [https://acast.com/privacy] for more information.

In this episode, Kane Simms is joined by Katherine Munro, Conversational AI Engineer at Swisscom, for a deep dive into what might sound like an odd pairing: using LLMs to classify customer intents. Large Language Models (LLMs) are powerful, multi-purpose tools. But would you trust one to handle the precision of a classification task? It’s an unlikely fit for an LLM. Classifiers typically need to be fast, accurate, and interpretable. LLMs are slow, random black-boxes. Classifiers need to output a single label. LLMs never stop talking. And yet, there are good reasons to use LLMs for such tasks, and emerging architectures and techniques. Many real-world use cases need a classifier, and many data and product development teams will soon find themselves wondering: could GPT handle that? If that sounds like you, then check out this extended episode to explore how Switzerland’s largest telecommunications provider tackles this issue while building a next-generation AI assistant.  This episode is brought to you by NLX. NLX [https://nlx.ai/?utm_source=vux&utm_medium=email&utm_campaign=may-takeover] is a conversational AI platform enabling brands to build and manage chat, voice and multimodal applications. NLX’s patented Voice+ technology synchronizes voice with digital channels, making it possible to automate complex use cases typically handled by a human agent. When a customer calls, the voice AI guides them to resolve their inquiry through self-service using the brand’s digital asset, resulting in automation and CSAT scores well above industry average. Just ask United Airlines [https://nlx.ai/news/empowering-travelers-through-ai-united-airlines-self-service-revolution?utm_source=vux&utm_medium=email&utm_campaign=may-takeover]. Shownotes: "The Handbook of Data Science and AI: Generate Value from Data with Machine Learning and Data Analytics" - Available on Amazon: https://a.co/d/3wNN9cv Katherine's website: http://katherine-munro.com/ Subscribe to VUX World: https://vuxworld.typeform.com/to/Qlo5aaeW Subscribe to The AI Ultimatum Substack: https://open.substack.com/pub/kanesimms Get in touch with Kane on LinkedIn: https://www.linkedin.com/in/kanesimms/ ---------------------------------------- Hosted on Acast. See acast.com/privacy [https://acast.com/privacy] for more information.

In this episode, Kane is joined by Sonia Ingram, Global Director of AI at Pandora, to explore what it really takes to develop AI maturity in a global business. Many organisations aiming to get started with AI and generative AI often focus on short-term, point solutions to specific problems. This emergent strategy often led from the grassroots to solve siloed departmental pain points can work for proof of value. But it rarely scales. For example, a chatbot that handles returns brilliantly may not be equipped or supported to drive sales conversations. If the support team owns it, where’s the incentive to collaborate with sales to expand its capabilities? To scale AI initiatives enterprise-wide, businesses need a purposeful strategy. One that prioritises literacy, governance, tooling, and operational foundations that empower teams across the organisation to build, maintain and grow AI solutions. In this episode, Kane and Sonia explore what it really takes to build and scale AI maturity in a global business. We cover topics such as AI literacy, change management, privacy and governance, and operational tools and processes.  This episode is brought to you by NLX. NLX [https://nlx.ai/?utm_source=vux&utm_medium=email&utm_campaign=may-takeover] is a conversational AI platform enabling brands to build and manage chat, voice and multimodal applications. NLX’s patented Voice+ technology synchronizes voice with digital channels, making it possible to automate complex use cases typically handled by a human agent. When a customer calls, the voice AI guides them to resolve their inquiry through self-service using the brand’s digital asset, resulting in automation and CSAT scores well above industry average. Just ask United Airlines [https://nlx.ai/news/empowering-travelers-through-ai-united-airlines-self-service-revolution?utm_source=vux&utm_medium=email&utm_campaign=may-takeover]. Subscribe to VUX World [https://vuxworld.typeform.com/to/Qlo5aaeW]. Subscribe to The AI Ultimatum Substack [https://open.substack.com/pub/kanesimms]. ---------------------------------------- Hosted on Acast. See acast.com/privacy [https://acast.com/privacy] for more information.

In this episode, we chat with Andrei Papancea, CEO and Co-Founder of NLX, to cut through the noise and get real about where AI in the enterprise is delivering value, and where it's not. Andrei brings a refreshing dose of grounded perspective as the buzz around ‘agentic AI’ and generative everything reaches fever pitch. Instead of chasing trends or slapping AI onto every process, NLX is laser-focused on practical outcomes: real problems, solved efficiently, and with the right tech.  We explore the challenges enterprise leaders face when navigating a market bloated with hype: internal pressures to ‘do AI,’ tech stacks that aren’t ready, and misunderstandings about what LLMs can and can’t do. Andrei shares where generative AI genuinely shines and where it is still too risky, especially for heavily regulated industries. This episode is brought to you by NLX. NLX [https://nlx.ai/?utm_source=vux&utm_medium=email&utm_campaign=may-takeover] is a conversational AI platform enabling brands to build and manage chat, voice and multimodal applications. NLX’s patented Voice+ technology synchronizes voice with digital channels, making it possible to automate complex use cases typically handled by a human agent. When a customer calls, the voice AI guides them to resolve their inquiry through self-service using the brand’s digital asset, resulting in automation and CSAT scores well above industry average. Just ask United Airlines [https://nlx.ai/news/empowering-travelers-through-ai-united-airlines-self-service-revolution?utm_source=vux&utm_medium=email&utm_campaign=may-takeover]. Subscribe to VUX World [https://vuxworld.typeform.com/to/Qlo5aaeW]. Subscribe to The AI Ultimatum Substack [https://open.substack.com/pub/kanesimms]. ---------------------------------------- Hosted on Acast. See acast.com/privacy [https://acast.com/privacy] for more information.