Featured Speakers

Brian Horan Marsh
Brian Horan

Application Maintenance Leader

Brian leads application maintenance for Marsh. He specializes in leveraging AI for maintenance activities and managing tech debt across large enterprise applications.

Rado Nikolov CAST
Rado Nikolov

EVP Software Intelligence

Rado leads product management for CAST’s software intelligence platform. Previously at IBM and MacDonald Dettwiler he managed middleware products and developed mission-critical applications.

Anil Kumar CAST
Anil Kumar

Delivery Director

Anil helps U.S. federal and enterprise accounts with a focus on technical debt, AI integration into the SDLC, application modernization, and portfolio governance. Previously at Accenture and CSC, he developed and delivered mission-critical software solutions.

Executive Summary

Companies worldwide need 61 billion workdays to resolve accumulated technical debt*. Even if the world’s 25 million developers worked only on this problem, it would still take nine years to solve.

In this session, Marsh’s Application Maintenance Leader shares how they have successfully employed AI, grounded in CAST software intelligence, to remediate technical debt at a fraction of the time it would take humans to do it alone.

You will also find out how to tackle architectural tech debt – the most difficult to address – which causes 90%** of major production incidents affecting software reliability, security, and performance.

Learn how to:

  • Track and prioritize tech debt across your application portfolio
  • Identify architectural debt in your most critical applications
  • Equip AI tools with deterministic context to remediate existing debt and prevent new issues

Includes a live demo and Q&A with the speakers.

* The State of Global Technical Debt 2025, CAST Intelligence Unit
** How to deliver resilient, secure, efficient, and easily changed IT systems, Richard Soley, OMG Chair