Mar 09, 2026

Every Software Org is Dysfunctional • R. Parsons, G. Hohpe, B. O'Reilly & A. Harmel-Law • GOTO 2025

A panel of distinguished architects—Rebecca Parsons, Gregor Hohpe, Barry O'Reilly, and Andrew Harmel-Law—discuss the multifaceted world of software architecture. They explore the inevitability of organizational dysfunction, the critical role of architects in decision-making, and the impact of non-deterministic technologies like Generative AI and quantum computing on system design and organizational change.

Feb 12, 2026

After Q-Day: Quantum Applications at Scale • Matthew Keesan • YOW! 2025

Matthew Keesan from IonQ discusses the imminent arrival of "Q-Day"—the moment quantum computers will break current public-key encryption. He explains the fundamentals of quantum computing, including superposition and entanglement, details the hardware roadmap that places this threat within the decade, and explores the promising applications of this new computing paradigm in AI, drug discovery, and materials science, issuing a call to action for software engineers to get involved.

Jan 29, 2026

Securing AI for the Quantum Era: A CISOs Cyber Security Guide

Explore the significant security risks posed by Agentic AI and quantum computing, from data breaches of sensitive information to the breakdown of modern cryptography. Learn proactive strategies for governing AI and preparing for a quantum-safe future.

Dec 29, 2025

Cybersecurity Trends in 2026: Shadow AI, Quantum & Deepfakes

Explore Jeff Crume's cybersecurity predictions for 2026 and beyond, detailing the dual impact of AI in security, the rise of autonomous AI agents, the futility of deepfake detection, and the critical importance of post-quantum cryptography and passkeys for future defense.

Jul 24, 2025

The Quantum Advantage Is Real—But Where's the Infrastructure?

While general-purpose quantum computers are a decade away, specialized quantum accelerators are already tackling high-speed inference for AI problems in finance and pharma. This summary explores the practical use cases, the immense data ops and MLOps challenges due to the 'no-cloning theorem,' and the need for a new modeling paradigm based on topological data analysis.