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…

Developing Small Language Models (SLM) for Domain-Specific Solutions

Enhancing Cost-Effectiveness and Ensuring Security and Compliance Dr. Magesh Kasthuri, Distinguished Member and Chief Architect, Wipro Limited In today’s fast-paced digital world, the development of language models tailored to specific domains or…

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…