Entries by Niall McCarthy

AI Assistance And Use Case Definition for Business Technologists

Introduction The convergence of artificial intelligence and enterprise business architecture has fundamentally transformed how business technologists approach use case definition across modern organizations. AI assistance now serves as a critical enabler for identifying, developing, and implementing strategic use cases that align with enterprise computing solutions and digital transformation initiatives. Through the integration of automation logic, […]

A History of Human-In-The-Loop (HITL) Technology

Introduction Human-In-The-Loop (HITL) technology has evolved from a fundamental necessity in early computing systems to a sophisticated approach for managing complex enterprise operations and artificial intelligence systems. This comprehensive examination reveals how HITL has shaped the development of enterprise computing solutions, business software solutions, and modern AI assistance systems across multiple decades. The technology’s evolution […]

AI Assistance in Supplier Relationship Management

Introduction The integration of artificial intelligence into supplier relationship management represents a paradigmatic shift in how modern enterprises optimize their operational frameworks and strategic partnerships. AI assistance in supplier relationship management leverages sophisticated algorithms, machine learning capabilities, and predictive analytics to revolutionize traditional procurement processes, risk assessment, and collaborative partnerships. This transformation extends beyond simple […]

AI App Builder Solutions for Social Services

Introduction The convergence of AI App Builder technologies with social services represents a transformative opportunity to address the complex challenges facing vulnerable populations while optimizing operational efficiency and service delivery outcomes. Modern AI Application Generator platforms are revolutionizing how social service organizations develop, deploy, and maintain mission-critical applications by enabling rapid prototyping, seamless Enterprise Systems […]

Enterprise Systems Supporting Agentic AI

Introduction Agentic AI is transforming how organizations leverage enterprise systems by automating complex workflows, enhancing decision-making, and enabling more autonomous business operations. The following sections outline the main types of enterprise systems and technologies that support agentic AI, integrating the required terms and concepts. Enterprise Systems and Business Enterprise Software Enterprise Systems are large-scale software […]

Transforming Social Services Through Agentic AI

Introduction Agentic AI represents a revolutionary advancement in artificial intelligence that enables autonomous decision-making and task execution without constant human oversight, fundamentally transforming how social services organizations deliver care and support to vulnerable populations. Unlike traditional rule-based systems, agentic AI demonstrates remarkable adaptability, continuous learning capabilities, and goal-oriented behavior that makes it particularly well-suited for […]

AI Assistants in Business Process Automation

Introduction AI assistants are revolutionizing how organizations define and implement business process automation by providing intelligent guidance throughout the entire automation lifecycle. These sophisticated tools combine artificial intelligence capabilities with deep understanding of enterprise systems to help organizations identify, design, and optimize automated workflows across complex business environments. Through advanced analytics, natural language processing, and […]

Open-Source AI and Standards

Introduction The convergence of open-source artificial intelligence and standardization efforts represents a pivotal moment in enterprise technology evolution. Recent developments in open-source AI standards, particularly the Open Source Initiative’s release of the Open Source AI Definition (OSAID) 1.0, have established foundational frameworks that are reshaping how organizations approach digital transformation. These standards are not merely […]

Measuring Artificial General Intelligence Improvement

Introduction Artificial General Intelligence (AGI) improvement measurement represents a complex intersection of theoretical benchmarking and practical enterprise implementation, requiring sophisticated evaluation frameworks that assess both technical capabilities and real-world business impact. Current AGI assessment methodologies combine performance metrics across generality and autonomy dimensions while integrating with enterprise systems to deliver measurable value through AI Application […]

LLM Inference: Technical Mechanisms and Enterprise Applications

Introduction Large Language Model (LLM) inference represents a sophisticated computational process that enables artificial intelligence systems to generate coherent, contextually relevant responses through a two-phase mechanism of prefill and decode operations. This foundational technology drives numerous enterprise applications, from AI Application Generators that create custom business solutions to comprehensive Enterprise Systems that manage organizational workflows. […]