generative ai

How can generative ai empower tourism organisations’ decision-making? the genai-modulated appraisal tendency framework

The memory that walks out the door: Generative AI and the knowledge depletion spiral in permacrisis

Trust, gating, delegation, and identity: Human-factor dynamics in a 16-month single-developer trace of generative-AI-assisted development

Beyond accuracy in crop classification: calibration, selective prediction, and robustness

Introduction: Near-perfect crop-label accuracy can conceal uncertainty, perturbation sensitivity, and weak explanations. This study evaluates these reliability dimensions without treating benchmark classification as an agronomic recommendation. Materials and methods: Ten classifiers were evaluated using five matched st...

Data Quality, Feature Engineering, and Model Reliability in Large-Scale AI Multi-Agentic Systems

Large-scale artificial intelligence (AI) systems increasingly operate not as a single monolithic model but as a population of interacting, specialized agents separate models or decision-making components responsible for functions such as pricing, fraud detection, ranking, routing, and customer support that share underl...

Scalable Real-Time Data Pipelines for AI and Machine Learning–Driven Enterprise Systems

The growth of enterprise data volumes across the 2000s and 2010s pushed traditional batch-oriented data processing infrastructures past their practical limits, motivating a sustained shift toward distributed, stream-based architectures capable of supporting real-time analytics and machine learning (ML). This article sy...

AI and your brain: every study on AI use and thinking

Full interactive study, all charts and the latest version: https://iqmetrics.org/research/ai-and-your-brain/ The evidence is split, and it depends on how the AI is used. Of 56 studies published from 2023 to October 2026 that tested what generative AI does to people's own thinking, 19 found worse results, 16 better, 17...

gee-mpc-sentinel2-validation: tools to check the combination of Sentinel-2 L2A from Google Earth Engine and Microsoft Planetary Computer

Python package to check, before combining Sentinel-2 L2A from Google Earth Engine (GEE) and Microsoft Planetary Computer (MPC), whether both catalogues hold the same scenes and the same L2A generation, and how much monthly medians and annual composites of NDVI, EVI and NDWI change with the scene universe. Version 1.1.0...

SAP AI Core Enterprise Reference Architecture

SAP AI Core provides enterprise capabilities for executing, managing, and operationalizing Artificial Intelligence workloads within SAP Business Technology Platform landscapes. Enterprise adoption requires a reference architecture that connects model runtime, data, applications, identity, security, integration, observa...

Beyond AI Use: How AI Literacy Is Linked to Critical Thinking through AI-Assisted Problem-Solving Ability and AI Reliance

With the widespread adoption of generative artificial intelligence in English as a Foreign Language (EFL) learning, helping learners use AI effectively to solve language-related problems while maintaining independent judgment and critical thinking has become a key issue in technologyenhanced language education. However...

Enterprise Agentic AI Reference Architecture

Agentic AI extends Generative AI from response generation to goal-oriented digital execution. Enterprise agents can interpret objectives, plan tasks, retrieve knowledge, invoke tools, call APIs, maintain memory, coordinate with other agents, and adapt execution based on intermediate results. These capabilities require...

Empowering Clients: Transformation of Design Processes Due to Generative AI