Technical Debt: The Hand You Hold...
May 28th
1 PM ET
Online Webinar
What You’ll Learn
Technical debt doesn’t disappear on its own.
See how hybrid AI can help organizations finally move beyond it.
Eric Kavanagh
CEO
The Bloor Group
Sam Yen
GM of AI
Everest Systems
Technical debt has become one of the biggest obstacles facing modern IT teams. Between aging architectures, mounting SaaS complexity, and endless maintenance cycles, many organizations are stuck spending more time keeping systems alive than moving innovation forward.
But a new approach is emerging.
While Generative AI dominates headlines, enterprise innovators are building something far more practical: hybrid AI systems that combine the power of LLMs with the reliability and determinism of enterprise systems of record.
- Why technical debt continues to slow enterprise innovation
- How hybrid AI architectures combine generative flexibility with deterministic reliability
- What makes enterprise-native AI more trustworthy and operationally sound
- How organizations are using AI to modernize and simplify complex systems
Breaking Free from Technical Debt with Hybrid AI
What You’ll See
- Real-world examples of hybrid AI systems in action
- How deterministic AI can improve reliability and governance
- Why next-generation architectures are replacing brittle legacy approaches
CFO, AI Strategy & Consulting of Wolfe Packs
Brad Wolfe
