Building the Future of Voice AI From Soundtracks to Synthetic Speech With Stu Kennedy, Edge, Realtime & AI Systems Consultant

The One Skill That Separates Good Data Leaders From Great Ones With Asia Faulds - Head of Data Science at Booksy

If you run a data team, you already know that the hardest part of being a great data leader isn’t always the technology. In this episode of A Class Act, host Michael Young chats with Asia Faulds, Head of Data Science at Booksy.  Asia has built data science teams from the ground up at the BBC, Trustpilot, and now Booksy, and she’s seen first-hand why brilliant technical teams still fail when prioritisation breaks down. In this conversation, they get into: * Why most data teams don’t fail technically * What it’s actually like building a data science function from zero at Booksy * How Gen AI has expanded the scope of the data science role and what hasn’t changed * Why producing 200 dashboards instead of 2 doesn’t mean your team is more productive * The difference between activity and progress, and how to tell which one your team is doing * Why sometimes a well-written SQL script beats a neural network * How to protect your team’s energy and focus as a data leader * The one thing Asia says every listener should do this week GUEST INFORMATION Asia Faulds is Head of Data Science at Booksy, the two-sided marketplace connecting beauty and wellness providers with consumers. She’s building the company’s first data science and applied AI function from scratch, defining the strategy, hiring the team, and establishing ML infrastructure. Before Booksy, Asia spent five years at Trustpilot, progressing from individual contributor to management across product and go-to-market data science. Before that, she built recommendation engines for BBC Sounds at the BBC. She holds a Master’s in Physics from the University of Edinburgh and writes The Data Pragmatist on Medium. Connect with Asia Faulds on LinkedIn: https://www.linkedin.com/in/asia-data/ [https://www.linkedin.com/in/asia-data/] Read The Data Pragmatist on Medium: medium.com/@thedatapragmatist [https://medium.com/@thedatapragmatist] ABOUT YOUR HOST Michael Young is the Managing Director of MBN Solutions and host of A Class Act: Conversations in Data & Leadership. With nearly two decades of experience helping organisations build high-performing data, analytics, and AI teams, he brings frontline insight into what makes exceptional talent and leadership. Please note: The views expressed by the guest in this episode are their own and do not reflect those of their current or former employers. SUBSCRIBE & FOLLOW Enjoying the series? Don’t miss an episode. Follow A Class Act wherever you get your podcasts and leave us a review to help more listeners discover these conversations in data and leadership. CONNECT WITH MBN SOLUTIONS If you’re hiring for data or AI leadership roles, scaling AI capability, or rethinking how talent supports your AI strategy, the team at MBN partners with organisations to build data and AI teams that actually deliver. MBN Solutions on LinkedIn – Explore industry updates, groundbreaking projects, and the latest in data and analytics talent. Join the conversation and discover how MBN Solutions is shaping the future of data leadership. Visit the company page here. For questions, guest recommendations, or to connect: Email: michael@mbnsolutions.com Visit MBN Solutions website at www.mbnsolutions.com [https://www.mbnsolutions.com]

Building the Future of Voice AI From Soundtracks to Synthetic Speech With Stu Kennedy, Edge, Realtime & AI Systems Consultant

In this episode of A Class Act, Michael chats with Stu Kennedy, an Edge, Realtime & AI Systems Consultant, core HTMX contributor, and former film composer who worked alongside David Arnold on the Chronicles of Narnia and BBC’s Sherlock.  Today, Stu builds real-time voice AI pipelines, contributes to the WebSocket layer in HTMX 4, and has helped companies like Anam and Pyannote push the boundaries of streaming diarisation and video avatars.  In this conversation, they get into: ✔ How a career in maths, music, and film led to building production voice AI systems ✔ Why voice AI is fundamentally an audio problem before it’s an ML one ✔ Why platforms like VAPI, OpenAI Realtime, and others break outside demo ✔ How Stu cut ASR latency from two seconds to 350 milliseconds  ✔ Why a single senior engineer with the right tools can now outship a six-month procurement cycle ✔ LLMs and the parallels between constraining a model and constraining an orchestra ✔ An experiment where professional composers couldn’t tell a real orchestral recording from a fake one and what that really means for AI adoption ✔ A real benchmark for production readiness Guest Information Stu Kennedy is an Edge, Realtime & AI Systems Consultant specialising in Cloudflare-native, real-time, and AI-driven platforms. He has spent 25 years at the intersection of mathematics, music, and software, from a PhD in fluid mechanics and chaos theory to composing for film alongside David Arnold (James Bond, Narnia, Sherlock), to building music technology platforms, and now engineering production voice AI pipelines.  He is a core contributor to HTMX, building the WebSocket implementation for HTMX 4, and has worked with companies including Anam (real-time video avatars) and Pyannote (streaming diarization). Stu has also built products including Callwell, a real-time AI sales call assistant, and Medascend, an AI-powered medical training platform built with students from Dundee University. He operates via his Ltd company on scoped, outcome-based engagements. Connect with Stu Kennedy on LinkedIn: https://www.linkedin.com/in/stu-kennedy/ [https://www.linkedin.com/in/stu-kennedy/] Website: https://stukennedy.com [https://stukennedy.com] Also built: html.surf [https://html.surf] About Your Host Michael Young is the Managing Director of MBN Solutions and host of A Class Act: Conversations in Data & Leadership. With nearly two decades of experience helping organisations build high-performing data, analytics, and AI teams, he brings frontline insight into what makes exceptional talent and leadership. Please note: The views expressed by the guest in this episode are their own and do not reflect those of their current or former employers. Subscribe & Follow Enjoying the series? Don’t miss an episode. Follow A Class Act wherever you get your podcasts and leave us a review to help more listeners discover these conversations in data and leadership. Connect with MBN Solutions If you’re hiring for data or AI leadership roles, scaling AI capability, or rethinking how talent supports your AI strategy, the team at MBN partners with organisations to build data and AI teams that actually deliver. MBN Solutions on LinkedIn – Explore industry updates, groundbreaking projects, and the latest in data and analytics talent. Join the conversation and discover how MBN Solutions is shaping the future of data leadership. Visit the company page here. For questions, guest recommendations, or to connect: Email: michael@mbnsolutions.com Visit MBN Solutions website at www.mbnsolutions.com

The 4 Pillars of AI Adoption Strategy EVERY Enterprise Leader Needs with Lead Enterprise Architect at NatWest Group

If 99% of executives say their AI rollout isn’t mature, so what’s actually going wrong? In this episode of A Class Act, Michael chats with Natalia Konstantinova, Lead Enterprise Architect in AI at NatWest Group. Natalia holds a PhD in Computational Linguistics and has spent her career at the intersection of AI research and enterprise delivery, including leading AI strategy at BP before joining NatWest. In this conversation, they get into👇 ✔ Why only 1% of executives describe their AI rollout as mature ✔ Natalia’s four pillars of AI adoption ✔ Why governance is critical and what good governance actually looks like ✔ Why less than one in five organisations are tracking KPIs for their AI solutions and what to measure instead ✔ The biggest barriers to AI adoption and why they’re not technical ✔ What good AI leadership actually looks like and hiring challenges leaders face ✔ Why hiring one person and expecting them to solve everything doesn’t work ✔ One concrete action a leader should take this week Guest Information👇 Natalia Konstantinova is a Lead Enterprise Architect in AI at NatWest Group. She holds a PhD in Computational Linguistics from the Research Institute in Information and Language Processing (RIILP) and brings deep expertise across NLP, machine translation, information extraction, dialogue systems, and data analytics.  Connect with Natalia Konstantinova on LinkedIn: https://www.linkedin.com/in/nkonst/ About Your Host👇 Michael Young is the Managing Director of MBN Solutions and host of A Class Act: Conversations in Data & Leadership. With nearly two decades of experience helping organisations build high-performing data, analytics, and AI teams, he brings frontline insight into what makes exceptional talent and leadership. Please note: The views expressed by the guest in this episode are their own and do not reflect those of their current or former employers. Subscribe & Follow👇 Enjoying the series? Don’t miss an episode. Follow A Class Act wherever you get your podcasts and leave us a review to help more listeners discover these conversations in data and leadership. Connect with MBN Solutions If you’re hiring for data or AI leadership roles, scaling AI capability, or rethinking how talent supports your AI strategy, the team at MBN partners with organisations to build data and AI teams that actually deliver. MBN Solutions on LinkedIn – Explore industry updates, groundbreaking projects, and the latest in data and analytics talent. Join the conversation and discover how MBN Solutions is shaping the future of data leadership For questions, guest recommendations, or to connect: Email: michael@mbnsolutions.com Visit MBN Solutions website at www.mbnsolutions.com

S2E8: Nina Habicht [ Top 100 Women in Data & AI ] on the AI Funding Bubble & Founder Advice on Building AI that Lasts

Nina Habicht has been building AI since 2011 and is one of Switzerland's Top 100 Women in Data and AI. In this conversation with Michael of MBN Solutions, she's direct about what she actually thinks about why so much AI being built right now feels disposable, why the funding bubble is coming even if the technology bubble isn't and why generalist AI startups don't have an easy road ahead. In this episode, Nina shares: * Why so much AI being built right now feels easy to copy and hard to defend * Why she believes the funding bubble may come before any technology bubble * What she would avoid building today, even if it looks popular or fundable * Why domain depth matters more than generic AI capability * What founders should stop doing if they feel overwhelmed by the speed of AI change * Why under-digitised, less fashionable sectors may hold the biggest opportunity * The new AI roles she believes are coming next from agent controllers to ethical AI leadership Guest information Nina Habicht is the Founder and CEO of dreamleap, an Agentic AI tech company with AI consultancy and an own training academy based in Zurich, and one of Switzerland’s Top 100 Women in Data and AI. Across her career, she has built AI systems into production in multiple industries, including one of the first voice assistants for the Swiss federal train system and Swisscom. Dreamleap is her third venture, starting as a training business and evolving into both a training and technology company. Today, the company trains around four companies a week, employs 12 people, and is based in Zurich. Connect with Nina Habicht on LinkedIn: https://www.linkedin.com/in/nina-habicht-%F0%9F%AA%84%F0%9F%91%80-b840a553/ [https://www.linkedin.com/in/nina-habicht-%F0%9F%AA%84%F0%9F%91%80-b840a553/] Connect with dreamleap: (1) dreamleap: Übersicht | LinkedIn [https://www.linkedin.com/company/dreamleap-technology/?viewAsMember=true] Visit dreamleap Agentic Factory: www.dreamleap.com [http://www.dreamleap.com] Visit dreamleap’s Applied Academy: www.voicetechhub.com [http://www.voicetechhub.com] (powered by dreamleap) About Your Host Michael Young is the Managing Director of MBN Solutions and host of A Class Act: Conversations in Data & Leadership. With nearly two decades of experience helping organisations build high-performing data, analytics, and AI teams, he brings frontline insight into what makes exceptional talent and leadership. Please note: The views expressed by the guest in this episode are their own and do not reflect those of their current or former employers. Subscribe & Follow: Enjoying the series? Don’t miss an episode. Follow A Class Act wherever you get your podcasts and leave us a review to help more listeners discover these conversations in data and leadership. Connect with MBN Solutions: If you’re hiring for data or AI leadership roles, scaling AI capability, or rethinking how talent supports your AI strategy, the team at NBN partners with organisations to build data and AI teams that actually deliver. MBN Solutions on LinkedIn: Explore industry updates, groundbreaking projects, and the latest in data and analytics talent. Join the conversation and discover how MBN Solutions is shaping the future of data leadership. Visit the company page here: https://www.linkedin.com/company/mbn-recruitment-solutions For questions, guest recommendations, or to connect: Email: michael@mbnsolutions.com Visit MBN Solutions website at https://www.mbnsolutions.comwww.mbnsolutions.com [http://www.mbnsolutions.com]

S2E7: Navigating AI Ethics in the Real World: Red Lines & Risk Tiers in Practice

AI is moving fast. Most organisations are trying to keep up. But the real question isn’t “should we use it?” anymore, it’s whether you can deploy it without creating risks you can’t explain later. In this episode, Michael Young is joined by Jeff Watkins (former CTO, fractional Chief AI Officer / advisor) to get specific about what “responsible AI” looks like in practice. Michael asks Jeff: * What does responsible AI look like day-to-day as a way teams make decisions, not a set of statements? * Where do you draw red lines (what you won’t do with AI) and who has the authority to stop a deployment? * How do you triage Gen AI use cases using a simple risk-tier approach (green/amber/red) so governance supports delivery? * What does evidence actually look like and how do you prove controls are working in real operations? * When AI causes harm, who owns the decision and what does accountability mean in practice? Guest information Jeff Watkins is a CTO and AI strategist with 25+ years of experience leading digital and AI transformation. Former CTO at CreateFuture, he led AI Enablement and now advises boards and delivery teams on secure, responsible GenAI, where AI, security, governance, and culture collide. Connect with Jeff Watkins on LinkedIn:  https://www.linkedin.com/in/jeff-watkins-cto/ [https://www.linkedin.com/in/jeff-watkins-cto/] About Your Host:  Michael Young is the Managing Director of MBN Solutions and host of A Class Act: Conversations in Data & Leadership. With nearly two decades of experience helping organisations build high-performing data, analytics, and AI teams, he brings frontline insight into what makes exceptional talent and leadership. Please note: The views expressed by the guest in this episode are their own and do not reflect those of their current or former employers. Subscribe & Follow: Enjoying the series? Don’t miss an episode. Follow A Class Act wherever you get your podcasts and leave us a review to help more listeners discover these conversations in data and leadership. Connect with MBN Solutions: If you’re hiring for data or AI leadership roles, scaling AI capability, or rethinking how talent supports your AI strategy, the team at NBN partners with organisations to build data and AI teams that actually deliver. MBN Solutions on LinkedIn – Explore industry updates, groundbreaking projects, and the latest in data and analytics talent. Join the conversation and discover how MBN Solutions is shaping the future of data leadership. Visit the company page here. [https://www.linkedin.com/company/mbn-recruitment-solutions] Visit MBN Solutions website at https://www.mbnsolutions.comwww.mbnsolutions.com [http://www.mbnsolutions.com]