Deep Dive
Are AI Certificates Worth It? Their Value in Türkiye
Is an AI certificate worth it and what is its value in hiring? A decision guide on certificate value, portfolio versus certification, and your learning investment.
30 minSkills
Blog archive
Showing 73–96 of 540 articles, newest first.
Comparison
Organization Design in AI Transformation: Centralized or Distributed?
Which AI operating model is right for you? A consultant's comparison of centralized, distributed, and federated models — the center of excellence, role split, and the maturity-based decision guide.
30 minStrategy
Explainer
What Is Few-Shot Prompting? Guiding a Model by Example
What is few-shot prompting? It is the technique of guiding a model by showing it a few examples of the task. How many examples, how to pick them, and the difference from zero-shot, in this guide.
30 minPrompt
Deep Dive
Hybrid Search: Combining Semantic and Keyword Retrieval
What is hybrid search? A method that combines semantic (vector) search with BM25 keyword search, fusing scores to raise retrieval quality and hit rate in RAG systems.
30 minRAG
Deep Dive
On-Premise and Sovereign AI Infrastructure: From Setup to Operations
How to build on-premise AI infrastructure? Hardware, model serving, scaling, monitoring, updates and the real operational burden — an enterprise decision guide.
30 minLLMs
Analysis
KVKK and Artificial Intelligence: The Current Debate Topics
KVKK and AI debates: consent versus legitimate interest, automated decisions, using data for model training, and cross-border data transfer, in a comprehensive guide for organizations.
30 minGovernance
Field Note
Field Note: What I Encountered in AI Approval Processes in Regulated Sectors
Regulated-sector AI approval is a multi-stage process through security, compliance and legal layers. Requested documents, approval duration and ways to speed it up.
9 minGovernance
Comparison
What Is the Difference Between an AI Agent and a Chatbot?
What is the difference between an AI agent and a chatbot? A chatbot talks and answers; an AI agent plans toward a goal, uses tools, and completes multi-step tasks autonomously.
6 minAgents
Article
Data Labeling Strategy for Computer Vision Projects
Data labeling strategy for computer vision projects: label schema, annotator agreement, how much data, active learning and quality control.
8 minUse Cases
Article
Building a Corporate AI Academy: From Curriculum to Measurement
How do you build a corporate AI academy? From curriculum to measurement: role-based learning paths, an internal training program, AI literacy, and impact measurement.
11 minSkills
Analysis
Enterprise AI Adoption in Türkiye: A Sector-by-Sector View
Enterprise AI adoption in Türkiye diverges by sector: regulated industries are cautious, manufacturing moves fast. Sector differences, maturity view, and common barriers.
7 minTurkey
Article
Enterprise AI Training Program Design: A Role-Based Curriculum
How to design enterprise AI training, how many hours are enough, and how to separate roles? A guide to role-based curriculum, learning objectives, and duration decisions.
9 minSkills
Guide
On-Premise LLM Setup: A Hardware Sizing Guide
How to size hardware for an on-premise LLM: a practical guide to VRAM math, quantization, concurrent users, GPU count and server sizing for enterprise deployments.
9 minLLMs
Guide
Agentic AI: The Architecture and Limits of Autonomous Task Execution
What is agentic AI, how does an agent work, and where should it not be used? Autonomous task architecture with planning, tools, memory, and human approval.
12 minAgents
Article
Is AI Taking Jobs? A Realistic, Occupation-Level Assessment
Is AI taking jobs? A realistic, task-level and occupation-level assessment against the AI unemployment fear: roles that vanish, transform, and are newly born.
6 minUse Cases
Field Note
Field Note: Where Document Preparation Wastes the Most Time
Document preparation experience repeats one lesson: time is lost not in the model but in the documents. A field note on scans, old versions, access and missing metadata.
9 minStrategy
Article
Writing a System Prompt: Role, Constraint, and Format Layers
Writing a system prompt means building the role, constraint, and output-format layers correctly. We break the prompt structure down layer by layer.
6 minPrompt
Deep Dive
Enterprise AI Governance: Policy, Audit, and Accountability
What is AI governance? The control system that frames enterprise AI with a usage policy, a responsibility matrix, and an audit trail — with a component table.
13 minGovernance
Guide
How to Read Model Comparisons? An LLM Benchmark Reading Guide
How to read LLM benchmark scores? A practical guide to reading model comparisons with an eye on data contamination, real performance, and the evaluation limit.
6 minLLMs
Article
Presenting AI Investment to the Board: Argument Structure
How to build an AI investment pitch? The argument structure that earns board buy-in: problem-cost link, alternatives, conservative benefit, and risk transparency.
8 minStrategy
Explainer
What Is Sovereign AI? Data Sovereignty and Model Independence
What is sovereign AI? Holding control over data, model, and infrastructure without outside dependency: data sovereignty, model independence, and local infrastructure.
6 minGovernance
Guide
Tool Definition in Agent Architecture: How to Write a Good Tool Schema
How do you do tool definition in agent architecture? A good tool schema: a clear name, a description that says when to use it, well-typed parameters, and readable errors.
7 minAgents
Guide
LLMOps: Getting a Model to Production and Keeping It There
What is LLMOps? The operations discipline of taking a language model application to production and keeping it reliable with monitoring, evaluation, versioning, and cost control.
11 minLLMOps
Article
Which Skills Are Gaining Value in the AI Age?
The AI skills gaining value in the AI age: judgment, context-building, verification, and deep domain expertise that machines cannot imitate. A short guide.
6 minSkills