Featured Speakers

Linz PhilipIBM
Linz Philip

Client Partner and
Practice Lead

Linz directs a $40M+ US Public Sector portfolio, delivering innovative GenAI applications that modernize Medicaid and Child Welfare systems. Proven track record in P&L oversight and people leadership, consistently reducing operational costs and manual workloads through a unique blend of technical proficiency and business acumen.

Roy ChristalbaiIBM
Roy Christalbai

IBM Delivery Project Executive for Government Healthcare

Roy brings 20+ years of experience in legacy application development and modernization, delivering innovative Cloud and GenAI-enabled solutions that transform mainframe systems – improving performance, reducing costs, enhancing user experiences, and boosting business agility.

Anuj GuptaIBM
Anuj Gupta

Executive Architect and CTO,
Custom Application Management

With over 20 years of experience, Anuj helps organizations modernize and manage complex applications using cloud-native platforms and engineering practices. An Open Group Certified Distinguished Architect and Senior Inventor, Anuj holds multiple patents and co-authored Build Serverless Apps on Kubernetes with Knative.

Sarba BaruaCAST
Sarba Barua

Vice President
Strategic Partnerships

Sarba is a strategic technology partnerships leader with 19+ years of experience helping global enterprises modernize application portfolios through AI-driven software engineering. He leads the company's most strategic North American partnerships, enabling enterprises to accelerate code analysis, eliminate technical debt, and deliver software transformation at scale.

Executive Summary

A major Medicaid healthcare program managing 1.8 million beneficiaries was running on a ticking clock – 12 million lines of legacy mainframe code, mounting operational risk, and a shortage of experts who understand the system. This situation becomes more common for enterprises every year – mission critical applications grow harder to maintain, and the cost of failure too high to ignore.

Join experts from IBM Consulting and CAST on April 16 at 10 AM ET to see how AI-driven application maintenance pinpoints failure risks, surfaces hidden technical debt, and mitigates critical knowledge gaps.

  • Reduce incidents and improve reliability before problems reach production
  • Expose risks across large, aging codebases and know where to proactively resolve issues
  • Preserve institutional knowledge and cut onboarding time with auto-generated outcomes
  • Live demo using CAST and agentic-based IDEs

Register to save your spot today.