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…

Stakeholder Engagement in Enterprise Architecture: Enablers and Barriers in the Private Sector

(Editor’s Note: What follows is the introduction from an academic paper written by Maryam Alshehri, Rod Dilnutt, Sherah Kurnia and ABM Nayeem of the School of Computing and Information Systems at the University of Melbourne, […]

Finding the Right Architecture for AI-Powered ESG Analysis

By Oliver Cronk and David Rees, Scott Logic The ESG Data Challenge: When Rules-Based Systems Fall Short The sustainable investment sector faces a critical and growing challenge: effectively monitoring and validating Environmental, Social, and Governanc…

Multi-Agent Communication Protocols in Generative AI and Agentic AI: MCP and A2A Protocols

By Dr. Magesh Kasthuri, Distinguished Member and Chief Architect, Wipro Limited, and Dharanidharan Murugesan, Technical Lead, Wipro Limited In the landscape of Generative AI and Agentic AI solutions, the need for efficient and robust multi-agent […]

Simplifying AI Architecture: How Model Context Protocol Brings Efficiency: Why Do We Need a Model Context Protocol?

By Shammy Narayanan While modern Large Language Models (LLMs) are already equipped with tools or function-calling capabilities to access external resources like databases and custom business logic, introducing a Model Context Protocol (MCP) adds a […]