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…

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 […]