Architecting Human-AI Relationships: Governance Frameworks for Emotional AI Integration

Building enterprise resilience through psychologically-informed AI transition strategies By Sarah Dyson, Harrisburg University of Science and Technology As AI systems become increasingly sophisticated and emotionally expressive, enterprise architects f…

When Machines Dream: Quantum Consciousness and the Future of AI

By Stuart Dee While neuroscientists debate quantum consciousness, engineers are building something extraordinary, computers that think with light instead of electricity. Photonic quantum computers represent a radical departure from traditional silicon-…

Enterprise Architecture: A Guide to State Government Continual Transformation

The National Association State Chief Information Officers (NASCIO) has released the second of a series of reports on business architecture, making “the case for enterprise architecture as a necessary discipline for planning and organizing continu…

Excerpt on Multi-Agent Systems (Agentic AI) from the eBook ‘Mastering AI Ethics and Safety’

By Walson Lee (Editor’s Note: What follows is an excerpt from “Mastering AI Ethics and Safety.” The book can be purchased here.) Introduction The rapid advancement of Artificial Intelligence presents both unprecedented opportunities a…

It’s Time to Get Comfortable with Uncertainty in AI Model Training

It’s obvious when a dog has been poorly trained. It doesn’t respond properly to commands. It pushes boundaries and behaves unpredictably. The same is true with a poorly trained artificial intelligence (AI) model. Only with […]

Bridging the Digital Divide: Understanding APIs – Part 1

(What follows is Part 1. Part 2, which addresses “Benefits and Challenges of Each Approach” will appear on 5/21) By Bala Kalavala, Chief Architect & Technology Evangelist Event-Driven Architecture (EDA) and Data-Driven Architecture (DDA…