Keynote – Martin Schroeter
Summary
Schroeter focused on AI industrialisation: moving AI from pilots to production at enterprise scale. He identified four readiness gaps – data, infrastructure, governance, and workforce – that cause 75 % of Indian AI pilots to stall.
Kyndryl’s approach includes:
- AI Ops platforms that provide 24/7 monitoring, automated remediation, and security hardening.
- Agentic AI governance: embedding policy‑as‑code and audit logs directly into AI pipelines.
- Workforce upskilling: a “AI‑Ready” certification program for developers, data scientists, and business users.
He illustrated a case where Kyndryl helped a multinational bank achieve 30 % reduction in fraud false positives using AI‑driven decision pipelines.
Schroeter concluded that AI’s value will be realised only when it is reliable, safe, and seamlessly integrated into existing IT stacks.
Key Takeaways
- Four AI readiness gaps: data, infrastructure, governance, workforce.
- AI Ops: Continuous monitoring, automated remediation, and security at scale.
- Policy‑as‑code: Embedding governance directly into AI pipelines.
- AI‑Ready certification: Upskilling workforce to operate and trust AI systems.
- Enterprise case study: 30 % fraud reduction for a global bank via AI decision automation.