https://mlinfrasdteam.com/en/blog/Articles on enterprise AI, GenAI, MLOps, regulation and AI in banking.enhttps://mlinfrasdteam.com/en/blog/eu-ai-act-risk-categories/https://mlinfrasdteam.com/en/blog/eu-ai-act-risk-categories/The EU AI Act sorts AI systems into four risk categories. What each means, classification examples from banking, HR and marketing, and the high-risk exceptions.Tue, 06 Oct 2026 09:00:00 +0300https://mlinfrasdteam.com/en/blog/what-is-shadow-ai/https://mlinfrasdteam.com/en/blog/what-is-shadow-ai/Shadow AI is employees using AI tools without approval. Why it happens, the risks it brings and how to bring it under control without simply banning it: 10 essential controls.Tue, 06 Oct 2026 09:00:00 +0300https://mlinfrasdteam.com/en/blog/mlops-maturity-levels/https://mlinfrasdteam.com/en/blog/mlops-maturity-levels/MLOps maturity determines how fast and reliably your models reach production. The levels in Microsoft's and Google's models, what characterises each level and the next step.Tue, 06 Oct 2026 09:00:00 +0300https://mlinfrasdteam.com/en/blog/what-is-ai-literacy/https://mlinfrasdteam.com/en/blog/what-is-ai-literacy/AI literacy means understanding AI, using it safely and recognising its risks. Its definition in the EU AI Act, what it covers and how to build it across your organisation.Tue, 06 Oct 2026 09:00:00 +0300https://mlinfrasdteam.com/en/blog/ai-maturity-model-levels/https://mlinfrasdteam.com/en/blog/ai-maturity-model-levels/AI maturity models show where your organisation stands and what to do next. Gartner, MITRE and Cisco models, 6 core dimensions, 4 levels and actions for each level.Tue, 06 Oct 2026 09:00:00 +0300https://mlinfrasdteam.com/en/blog/eu-ai-act-what-it-means-for-turkish-companies/https://mlinfrasdteam.com/en/blog/eu-ai-act-what-it-means-for-turkish-companies/The EU AI Act covers not only EU companies but any AI system whose output is used in the EU. Scope, risk categories, the updated 2026 timeline and penalties for Turkish companies.Mon, 05 Oct 2026 09:00:00 +0300https://mlinfrasdteam.com/en/blog/genai-in-banking-on-premise-or-cloud/https://mlinfrasdteam.com/en/blog/genai-in-banking-on-premise-or-cloud/Banks adopting GenAI must balance data localisation, security, model quality and cost. A comparison of on-premise, cloud and hybrid approaches, with a focus on Türkiye.Mon, 05 Oct 2026 09:00:00 +0300https://mlinfrasdteam.com/en/blog/employees-chatgpt-data-protection-10-rules/https://mlinfrasdteam.com/en/blog/employees-chatgpt-data-protection-10-rules/ChatGPT and similar tools save time at work, but careless use can lead to personal data breaches and leaks. Ten practical rules for employees, with a Turkish data protection lens.Mon, 05 Oct 2026 09:00:00 +0300https://mlinfrasdteam.com/en/blog/machine-learning-for-fraud-detection/https://mlinfrasdteam.com/en/blog/machine-learning-for-fraud-detection/Rule-based fraud systems can't keep up with new schemes. How machine learning improves fraud detection: approaches, imbalanced data, the right metrics and hybrid architectures.Mon, 05 Oct 2026 09:00:00 +0300https://mlinfrasdteam.com/en/blog/what-is-iso-iec-42001/https://mlinfrasdteam.com/en/blog/what-is-iso-iec-42001/ISO/IEC 42001 is the first international standard for AI management systems. Its structure, the 38 Annex A controls, how it relates to the EU AI Act and how to prepare for certification.Mon, 05 Oct 2026 09:00:00 +0300https://mlinfrasdteam.com/en/blog/how-to-validate-credit-scoring-models/https://mlinfrasdteam.com/en/blog/how-to-validate-credit-scoring-models/Validating a credit scoring model is more than checking the Gini coefficient. Conceptual soundness, discriminatory power, calibration, stability, explainability and monitoring.Mon, 05 Oct 2026 09:00:00 +0300https://mlinfrasdteam.com/en/blog/how-to-plan-corporate-ai-training/https://mlinfrasdteam.com/en/blog/how-to-plan-corporate-ai-training/Corporate AI training isn't a one-off presentation; it's a measurable capability programme. A five-step planning guide, from setting goals to measuring impact.Mon, 05 Oct 2026 09:00:00 +0300https://mlinfrasdteam.com/en/blog/what-is-mlops/https://mlinfrasdteam.com/en/blog/what-is-mlops/MLOps is the discipline of getting machine learning models into production reliably, and keeping them there. Its components, maturity levels, LLMOps and how it differs from AIOps.Mon, 05 Oct 2026 09:00:00 +0300https://mlinfrasdteam.com/en/blog/deploying-llms-on-premise/https://mlinfrasdteam.com/en/blog/deploying-llms-on-premise/You can use large language models without your data leaving the building. Model choice, GPU sizing, serving software, security and the cost case for on-premise LLM deployment.Mon, 05 Oct 2026 09:00:00 +0300https://mlinfrasdteam.com/en/blog/prompt-engineering-8-techniques-for-work/https://mlinfrasdteam.com/en/blog/prompt-engineering-8-techniques-for-work/When one person gets mediocre results from an AI tool and another gets excellent ones, the difference is usually the prompt. Eight prompting techniques you can use at work today.Mon, 05 Oct 2026 09:00:00 +0300https://mlinfrasdteam.com/en/blog/what-is-rag-enterprise-ai-assistant/https://mlinfrasdteam.com/en/blog/what-is-rag-enterprise-ai-assistant/RAG lets language models answer based on your organisation's own documents. How it works, how it differs from fine-tuning, what to watch when building it and how to measure quality.Mon, 05 Oct 2026 09:00:00 +0300https://mlinfrasdteam.com/en/blog/which-ai-training-do-employees-need/https://mlinfrasdteam.com/en/blog/which-ai-training-do-employees-need/Executives, HR specialists, analysts and developers all need different AI training. A practical guide to matching each role with the right programme.Mon, 05 Oct 2026 09:00:00 +0300https://mlinfrasdteam.com/en/blog/turkiye-ai-action-plan-2026-2030/https://mlinfrasdteam.com/en/blog/turkiye-ai-action-plan-2026-2030/Türkiye's AI Action Plan, in force since 18 August 2026, creates no direct obligations for companies but sets the direction. What is changing, and what should companies do now?Mon, 05 Oct 2026 09:00:00 +0300https://mlinfrasdteam.com/en/blog/what-are-ai-agents/https://mlinfrasdteam.com/en/blog/what-are-ai-agents/AI agents don't just chat; they use tools and run workflows. How agents differ from chat assistants, enterprise use cases, the risks and how to get started.Mon, 05 Oct 2026 09:00:00 +0300https://mlinfrasdteam.com/en/blog/what-executives-need-to-know-about-ai/https://mlinfrasdteam.com/en/blog/what-executives-need-to-know-about-ai/Executives don't need to build models, but to make good AI investment decisions they need to understand these seven topics: value, data, cost, risk, regulation and people.Mon, 05 Oct 2026 09:00:00 +0300https://mlinfrasdteam.com/en/blog/how-to-measure-the-impact-of-ai-training/https://mlinfrasdteam.com/en/blog/how-to-measure-the-impact-of-ai-training/Participant satisfaction doesn't show whether AI training worked. A four-level measurement framework based on the Kirkpatrick model, sample metrics and a 30-60-90 day plan.Mon, 05 Oct 2026 09:00:00 +0300https://mlinfrasdteam.com/en/blog/how-to-build-an-ai-team/https://mlinfrasdteam.com/en/blog/how-to-build-an-ai-team/Which roles does your first AI team need, in what order should you hire, and which operating model fits: centralised, federated or hybrid?Mon, 05 Oct 2026 09:00:00 +0300https://mlinfrasdteam.com/en/blog/how-to-write-an-ai-acceptable-use-policy/https://mlinfrasdteam.com/en/blog/how-to-write-an-ai-acceptable-use-policy/Your employees are already using AI tools. The sections of a short, workable AI usage policy, a sample data classification table and the most common mistakes.Mon, 05 Oct 2026 09:00:00 +0300https://mlinfrasdteam.com/en/blog/why-ai-projects-fail/https://mlinfrasdteam.com/en/blog/why-ai-projects-fail/Most AI projects never make it past the pilot or fail to create value in production. The six most common mistakes, and how to avoid each one.Mon, 05 Oct 2026 09:00:00 +0300https://mlinfrasdteam.com/en/blog/10-questions-before-starting-an-ai-project/https://mlinfrasdteam.com/en/blog/10-questions-before-starting-an-ai-project/Before budgeting for an AI project, answer these 10 questions on the problem, value, data, legal basis, users, integration, cost and scale. A checklist you can use with your teams.Mon, 05 Oct 2026 09:00:00 +0300