Showing 313–336 of 510 articles, newest first.
What is data science? Data science is the discipline that turns raw data into knowledge and predictions to guide business decisions, using statistics, programming, and machine learning. This guide: a clear definition, why it matters, how the data analysis process works, what a data scientist does, the role of machine learning and Python, data science vs data analytics, Türkiye examples, KVKK, and FAQs.
What is data analytics? Data analytics is the discipline of processing raw data to extract meaningful patterns and decision-supporting insights. This guide: a clear definition, types of data analytics, data visualization, business intelligence, the difference from data science, examples, and FAQs.
What is RPA? RPA (Robotic Process Automation) is a technology that automates rule-based, repetitive digital tasks with software robots that mimic the steps a human performs at a screen. This guide: a clear definition, how RPA works, types of software robots, process mining, AI with RPA, use cases, KVKK/GDPR, limits and FAQs.
What is automation? Automation is the execution of a repetitive task or process by machines, software or rules without human intervention. This guide: a clear definition, how automation works, its types, workflow automation, RPA, hyperautomation, its difference from AI, efficiency, examples, limits, and FAQs.
What is MLOps? MLOps (Machine Learning Operations) is the engineering discipline that ties developing, deploying, monitoring, and updating machine learning models into a single repeatable process. This guide: a clear definition, why MLOps is needed, how it works, model deployment, CI/CD, model monitoring, MLOps vs DevOps, the LLMOps difference, GDPR, and FAQs.
What is machine learning? Machine learning is the branch of AI that lets a computer produce predictions or decisions by learning patterns from data, rather than being explicitly programmed with rules. This guide: a clear definition, how machine learning works, supervised and unsupervised learning, model training, examples, use cases, limits and FAQs.
What is KVKK? KVKK (Turkey's Personal Data Protection Law, Law No. 6698) is the legal framework that governs the processing of personal data belonging to natural persons in Türkiye. This guide: a clear definition, why it matters, how it works, the concepts of data controller and explicit consent, KVKK compliance in AI projects, comparison with GDPR, common mistakes, and FAQs.
What is a GPU? A GPU (Graphics Processing Unit) is hardware designed for parallel processing that runs the same operation across massive data simultaneously with thousands of small cores. This guide: a clear definition, how a GPU works, the difference from a CPU, VRAM, CUDA, its role as AI hardware, examples, limits, and FAQs.
What is GPT? GPT (Generative Pre-trained Transformer) is a family of transformer-based language models pre-trained on large text data that generate text by predicting the next word. This guide: a clear definition, how GPT works, the transformer and pre-training, the autoregressive model logic, GPT vs ChatGPT, OpenAI and versions, enterprise use, limits, and FAQs.
What is fine-tuning? Fine-tuning is the method of retraining a pre-trained AI model on a smaller, task-specific dataset to adapt it to a particular behavior, tone, or domain. This guide: a clear definition, how fine-tuning works, types like SFT and LoRA, preparing training data, the difference from RAG, sector examples, data protection, limits, and FAQs.
What is sentiment analysis? Sentiment analysis is a text classification technique that automatically determines the emotional attitude a text carries — positive, negative, or neutral. This guide: a clear definition, how it works, its types, customer feedback and social media analysis examples, methods, limits, and FAQs.
What is LLMOps? The discipline of running large language models in production: MLOps difference, prompt management, evaluation, LLM observability, cost optimization, guardrails, and a maturity model.
What is Natural Language Processing? NLP (Natural Language Processing) is the field of AI that enables computers to understand, interpret, and generate human language. This guide: a clear definition, how NLP works, text analysis and language models, classic vs modern NLP, applications, Turkish NLP challenges, and FAQs.
What is digital transformation? Digital transformation is when an organization fundamentally changes how it creates value by redesigning its processes, business model, and culture with digital technologies. This guide: a clear definition, the difference from digitization, process automation, AI transformation, a transformation roadmap, and FAQs.
What is a deepfake? A deepfake is a fake image, video, or audio recording in which AI realistically imitates a person's face, voice, or movements. This guide: a clear definition, how deepfakes are made, face swapping and voice cloning, deepfake detection, the disinformation risk, and the Türkiye/KVKK context, plus FAQs.
What is ChatGPT? ChatGPT is a generative AI chat assistant developed by OpenAI that produces text, answers questions, and completes tasks by conversing in natural language. This guide: a clear definition, how it works, its relationship to the GPT model, how to use ChatGPT, free vs paid, its limits, KVKK, and FAQs.
What is a chatbot? A chatbot is software that converses with a user in natural language to answer questions or complete a task. This guide: a clear definition, the difference between a rule-based bot and an LLM chatbot, how a chatbot works, conversation design, customer service use, GDPR/KVKK, setup steps, and FAQs.
What is big data? Big data is the set of data volumes — too large, fast, and varied for traditional tools to process in reasonable time — and the technologies that handle them. This guide: a clear definition, the 5Vs, data analytics, Hadoop, data lakes, the link to AI, KVKK, and FAQs.
What is computer vision? Computer vision is the field of AI that lets a machine perceive and understand the content of images and videos like a human. This guide: a clear definition, how it differs from image processing, how computer vision works, CNNs and deep learning, object detection and image classification, enterprise use cases, and FAQs.
What is an algorithm? An algorithm is a finite, unambiguous, step-by-step sequence of instructions followed to solve a problem or complete a task. This guide: a clear definition, everyday examples, flowchart representation, how to write an algorithm, complexity (Big O), machine learning algorithms, and FAQs.
What is deep learning? Deep learning is more than simply using neural networks with many layers. It is a way of learning representations from data, capturing patterns at multiple levels of abstraction, and optimizing complex decision systems end to end. This is why it has become central in computer
What is AGI? AGI (Artificial General Intelligence) is a theoretical, not-yet-existing level where a machine can learn and perform any cognitive task like a human. This guide: a clear definition, the difference from narrow AI, what human-level intelligence means, why AGI has not been reached, the debates, superintelligence, and FAQs.
What is generative AI? Generative AI is a type of AI that produces new content — text, images, audio, video, and code — using patterns learned from data. This guide: a clear definition, how it works, the role of large language models and diffusion models, types of content generation, enterprise use, and limits.
What is an AI agent? AI agents have become one of the most discussed topics in modern AI. But for most organizations, the real question remains: what is the difference between simple workflow automation and a truly agentic system? Is every LLM-powered automation an agent, or do agentic systems requi