Post-Quantum Cryptography Becomes a Board-Level Priority: Qrypt CTO Denis Mandich warns that the threat of “Harvest Now, Decrypt Later” attacks and the potential to forge code-signing keys means organizations must begin migrating to post-quantum cryptography well before a projected 2029 deadline.
AI as an Advisor in the Mainframe Era: Anthony DiStauro of BMC Software explains how organizations can prepare legacy environments for AI by integrating institutional knowledge, real-time data and governance frameworks to ensure trustworthy adoption.
Taming the Technical Debt Snowball: Ron Browning, CEO of Dyna Software, warns that rapid development and “vibe coding” in platforms like ServiceNow can accelerate technical debt unless organizations enforce strict governance and prioritize configuration over customization.
Patterns of Success in Operationalizing AI: Microsoft executive Michelle Lancaster outlines how enterprises are successfully scaling AI initiatives through apps, agents and chat interfaces that deliver measurable business outcomes.
Modernizing Brownfield Data Centers Without Downtime: Nokia IT leader Ahmed Abutaleb explains how the company migrated legacy environments into a modern architecture built on Nokia SR Linux and Nokia Event‑Driven Automation while maintaining uninterrupted application services.
Security Beyond AI Models in 2026: A Tech Field Day podcast discussion highlights how identity security, browser protection and governance for non-human identities are becoming just as critical as securing AI systems themselves.
Inside the Bell Labs Reliability Model: Experts explain how operational discipline, automation and AI-driven monitoring—developed through Nokia Bell Labs—can push data center networks beyond five-nines availability.
AI in Overdrive: Chips, Networks and Robots: The Tech Field Day News Rundown analyzes major industry shifts including NVIDIA investing $4B in optical networking leaders Lumentum and Coherent Corp., Accenture acquiring Ookla, and Google integrating robotics firm Intrinsic to accelerate the next phase of AI infrastructure and automation.