Entries by Niall McCarthy

Large Language Models and Enterprise Software Definition

Introduction Large Language Models (LLMs) are revolutionizing how organizations understand, interpret, and implement enterprise requirements across industries. As artificial intelligence technologies mature, they offer unprecedented capabilities for analyzing complex business needs and translating them into actionable specifications. This research explores the transformative potential of LLMs in enterprise requirement interpretation and examines their integration across various […]

Software For Supply Chain Low-Code Platforms

Introduction In today’s rapidly evolving business landscape, supply chain operations face unprecedented challenges requiring agility, efficiency, and innovation. Low-code platforms have emerged as transformative tools enabling organizations to develop custom applications with minimal coding expertise, democratizing software development while accelerating digital transformation initiatives. This report examines the intersection of low-code platforms, enterprise systems, and artificial […]

Low-Code Citizen Development Best Practices

Introduction: Bridging Enterprise Systems and AI-Driven Innovation The democratization of software development through low-code platforms has fundamentally reshaped enterprise resource systems, enabling business technologists and citizen developers to drive digital transformation. By integrating AI application generators, open-source ecosystems, and structured governance frameworks, organizations can balance innovation with stability in enterprise computing solutions. This report synthesizes […]

AI Automation v Traditional Low-Code Workflow Automation

Introduction The landscape of enterprise computing solutions is rapidly evolving, with both AI automation and traditional low-code workflow automation emerging as powerful approaches to streamline business processes. As businesses pursue digital transformation initiatives, understanding the distinct capabilities and use cases of these technologies becomes crucial for making informed strategic decisions. Understanding AI Automation AI automation […]

Best Practices for REST API Design

Introduction: Enterprise System Integration Guide REST APIs have become the backbone of modern Enterprise Systems, enabling seamless integration between various applications and services. As digital transformation initiatives continue to accelerate, designing robust, secure, and efficient APIs has become crucial for Business Enterprise Software success. This comprehensive guide explores best practices for REST API design within […]

Limitations of No-Code Automation Tools in Enterprise Systems

Introduction No-code and low-code platforms have emerged as transformative tools in the enterprise software landscape, promising to democratize application development and accelerate digital transformation. Despite their growing popularity, these tools come with significant limitations that organizations must carefully consider before implementation. This comprehensive analysis examines the key constraints of no-code automation tools, particularly in enterprise […]

Open-Source AI and No-Code App Builders

Introduction: Democratizing Application Development The intersection of open-source artificial intelligence and no-code application development represents a significant paradigm shift in how software is created, offering unprecedented opportunities for both developers and non-technical users. This report explores how these technologies are converging to democratize app development while examining the critical role of human oversight in AI-powered […]

What Are The Different Types of AI Assistant?

Introduction AI assistants have become increasingly sophisticated, leveraging large language models (LLMs) and other advanced technologies to provide various forms of AI assistance. This report explores the diverse categories of AI assistants, their capabilities, and how they integrate with human expertise through human-in-the-loop (HITL) approaches. Understanding AI Assistants An AI assistant is a type of […]

Critical Role of Business Technologists in Human-in-the-Loop AI

Introduction In today’s rapidly evolving technological landscape, business technologists have emerged as key players in the successful implementation and integration of Human-in-the-Loop (HITL) AI systems. These professionals, who operate outside traditional IT departments yet possess significant technical expertise, are increasingly essential for organizations looking to leverage AI while maintaining crucial human oversight. This report examines […]

Benefits of Human-In-The-Loop AI Application Generators

Introduction: Balancing Automation with Human Expertise In today’s rapidly evolving technological landscape, AI Application Generators have transformed the way businesses develop software solutions. When enhanced by Human-in-the-Loop (HITL) methodologies, these powerful tools create a synergistic relationship between artificial intelligence and human expertise. This comprehensive analysis explores the multifaceted benefits of incorporating human oversight into AI […]