{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/62b9b8d59152b400122b83d5/6a020ed053be193dbd5c9111?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"Insider Lessons on Getting AI from POC to Production in Regulated Banking with Sean Harkin Data Science & AI Lead at Lloyds Banking Group","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/62b9b8d59152b400122b83d5/1778519663142-923b34f9-3624-4fb9-8440-62d3dc1ce102.jpeg?height=200","description":"<p>In this episode of the Boss N’ Data Podcast, Joshua Smith is joined by Sean Harkin, PhD, Data Science &amp; AI Lead at Lloyds Banking Group, for conversation about what it actually takes to move AI from proof-of-concept to production in a highly regulated environment.</p><p><br></p><p>Sean has 18 years across financial services from risk modelling in investment banks, through fintech, to leading data science and AI in the insurance arm of Lloyds Banking Group. He is currently shipping GenAI and agentic solutions into production where most firms get stuck.</p><p><br></p><p><strong>You’ll hear:</strong></p><ul><li>How Sean’s team controls LLM hallucination at production quality ontologies</li><li>Why decision-recommendation tools in underwriting are designed to support humans, not replace them</li><li>When to reach for a domain-specific model versus careful prompt engineering on a general LLM</li><li>How to make AI reasoning transparent enough for regulators, risk teams, and reinsurers</li><li>The cost-per-token reality check on agentic systems most teams underestimate</li><li>What separates AI projects that ship from POCs that stall and the customer journey result one of Sean’s use cases demonstrates</li><li>Why doing the science well and doing risk management well are the same thing</li></ul><p><br></p><p><em>Disclaimer: The views expressed by the guest in this episode are their own and do not reflect those of their current or former employers.</em></p><h2><br></h2><h2>About the Guest</h2><p><br></p><p>Sean Harkin, PhD, is Data Science &amp; AI Lead at Lloyds Banking Group, working in the insurance arm. He has 18 years’ experience in financial services across startups, banks, and consultancies, with a research science background spanning biochemistry, biophysics, and a PhD in applied statistical modelling focused on causal inference.</p><p>Sean now leads a team of data scientists, ML engineers, and other technical professionals putting GenAI and agentic solutions into production, cutting through the POC bottleneck that holds many firms back. His current work focuses on AI for medical documentation analysis, decision recommendation, and the practical realities of shipping AI safely in a regulated environment.</p><p><br></p><p>👉 Connect with Sean on LinkedIn: <a href=\"https://www.linkedin.com/in/sean-harkin-phd-22776674/\" rel=\"noopener noreferrer\" target=\"_blank\">https://www.linkedin.com/in/sean-harkin-phd-22776674/</a></p><p><br></p><h2>About Your Host</h2><p>Joshua Smith has been a Data and AI talent specialist since 2011. He is Sales Director at MBN Solutions, responsible for leading and supporting the growth and diversification of MBN’s client portfolio, and building MBN’s position as a leading Data &amp; AI talent consultancy across the UK, Europe, and US.</p><p><br></p><p>Explore industry updates and the latest in data and AI talent on <a href=\"https://www.linkedin.com/company/mbn-recruitment-solutions\" rel=\"noopener noreferrer\" target=\"_blank\">MBN Solutions’ LinkedIn page.</a></p><p><br></p><p><br></p>","author_name":"MBN Solutions"}