The foundation of financial AI: data, governance, and trust
Financial institutions have historically been early adopters of technologies such as analytics, machine learning, and AI. However, many organizations are burdened by large, complex legacy systems and strict regulatory requirements, which can slow modernization efforts. Before organizations can fully deploy advanced AI and agent-based solutions, they need clean and contextualized data.
In this Industry Forward podcast episode, host Kate Eby interviews Dylan Tancill, Vice President of Sales and Global Head of BFSI at Siemens Digital Industries Software, about the current state of AI adoption in the banking, financial services, and insurance industries.
This episode will cover:
- Major challenges in the BFSI industry
- Best practices for implementing more advanced AI models
- The importance of knowledge graphs and clean data to AI integration
To learn more about Siemens solutions for the Banking, Financial Services and Insurance Industry visit: BFSI industry page
Kate Eby – Senior Manager Public Relations at Siemens Digital Industries Software
Senior communications professional with experience in the strategic planning and execution of media relations and employee and marketing communication campaigns.
Dylan Tancill – Global Head of Banking, Financial Services & Insurance at Siemens Digital Industries Software
He is a global go-to-market executive focused on helping large financial institutions navigate data, AI, analytics, digital transformation, and modernization journeys. He builds and scale BFSI software businesses, lead GTM organizations through acquisitions and integrations, and work across complex global matrices to align strategy, field teams, and product direction.
The Industry Forward Podcast
Join industry experts to explore the key trends, transformative technologies and real-world innovations that are reshaping fields from aerospace, industrial machinery and semiconductors to pharmaceuticals and beyond. Each episode delivers an in-depth discussion on the dynamic challenges industries are facing and how digitalization driven by AI, software and the comprehensive digital twin is meeting those challenges today and redefining the global industry of tomorrow.
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