Eoin O’Sullivan

Director of Data Engineering, AI and Analytics, Carne

Eoin O'Sullivan is Director of Data Engineering, AI and Analytics at Carne Group, leading the firm's data, analytics, and AI capabilities. He is the creator of CAMDA, Carne's award-winning data and AI platform, and is focused on using data and AI to drive business value, innovation, and operational excellence. Eoin is also a regular speaker at industry events and a guest lecturer at University College Cork.

Seanie Dunne

Associate Director – Data Engineering, AI & Analytics, Carne

Seanie Dunne is Associate Director – Data Engineering, AI & Analytics at Carne Group, where he helps lead the development of CAMDA, Carne's award-winning data and AI platform. His expertise spans data engineering, analytics, automation, and AI, helping deliver scalable solutions that drive innovation, operational excellence, and better decision-making across the business.

Stephen Bonney

Country Lead for Ireland and Northern Ireland, Dynatrace

Stephen Bonney is the Country Lead for Ireland at Dynatrace, where he is responsible for growing the company's presence and helping Irish organisations accelerate their digital transformation and AI ambitions. He works with business and technology leaders to turn complex operational and technology data into actionable intelligence that drives innovation, resilience, and business performance.

Drawing on Dynatrace's experience supporting some of the world's leading financial institutions, Stephen helps organisations understand how observability and AI can be used to improve customer experiences, strengthen operational resilience, and build trust in increasingly complex digital environments. His focus is on helping organisations adopt AI with confidence through greater visibility, governance, and business alignment.

Megan Burns

Senior Solutions Engineer, SAS

Megan is a Senior Solutions Engineer in the Financial Services Customer Advisory team at SAS. She works with banks and financial institutions to apply data, analytics and AI to business challenges, deliver measurable business value, and navigate an evolving regulatory landscape. 

Her focus is on helping organisations break down silos between traditionally separate disciplines, giving them greater visibility into how data, models and AI assets are used, governed and connected, and the impact they have on business outcomes. Her work spans AI governance, model risk management and model lifecycle management, helping organisations understand these assets, their dependencies, and the role they play in business decision-making.