60 posts
AI consulting in human resources builds candidate screening, workforce analytics and learning together with bias control, explainability and KVKK/EU AI Act compliance.
AI consulting in agriculture builds an ROI-focused, sector-specific roadmap across precision farming, yield forecasting, disease and pest detection, irrigation and the supply chain.
AI consulting in telecommunications delivers measurable value in churn prediction, network optimization, customer service automation, fraud detection and personalization.
AI consulting in automotive turns predictive maintenance, quality, supply chain, connected vehicle and dealership sales automation use cases into value with a sector-aware roadmap.
AI consulting in construction and real estate turns BIM, visual site safety, project and cost forecasting, and property valuation use cases into measurable value — grounded in KVKK and sector rules.
AI consulting in tourism delivers value for hotels, travel companies, and agencies across dynamic pricing, guest experience, and demand forecasting. A consultant's guide.
AI consulting in the energy sector turns demand and generation forecasting, grid optimization and predictive maintenance use cases into value within the EPDK/KVKK frame.
Public sector AI consulting shows how to build transparent, accountable and explainable solutions across citizen services, administrative automation and public data governance.
Legal AI consulting turns contract review, legal research and document automation into value while safeguarding professional secrecy and compliance.
AI consulting for e-commerce ties personalization, demand forecasting, and customer-service automation to ROI and to KVKK/ETBİS compliance with a sector-aware playbook.
AI consulting in insurance ties underwriting automation, claims detection, pricing, and SEDDK/KVKK compliance into a single, measurable roadmap for insurers.
AI consulting in banking brings together use-case selection, BDDK/KVKK compliance and ROI. Why a sector-aware consultant matters and how the process works.
AI consulting questions: short, clear answers to the 30 most frequently asked questions about fees, choosing a consultant, process, contracts, and ROI, each linking to a deep guide.
Types of AI consultant: strategy, technical, training and compliance advisors plus the fractional AI leader. Which type fits which need, and can one consultant do it all?
How to write an AI consulting contract? A clause-by-clause template and checklist for scope, intellectual property, data/KVKK, SLA, fee and termination clauses. (Not legal advice.)
AI ethics is not a poster of principles; this guide turns each principle into a control point, a testable criterion, an assigned owner, and an auditable trail across the delivery lifecycle.
Metadata design is the foundation of retrieving the right chunk for the right user in RAG: the required field set, authorization scope, date and version fields, and filtered retrieval quality.
LLM monitoring is the discipline that makes a production language-model system's quality, cost, and performance visible through logging, tracing, and alerts. What to log and how to measure it.
What is automated decision-making, which decisions fall under KVKK, and how are the right to object, human intervention, and transparency ensured? A practical design guide.
A lack of data governance quietly drives AI projects into a dead end: ownership gaps, data quality problems, source ambiguity. A field observation with symptoms and minimum safeguards.
Where are AI regulations heading toward 2027? A qualitative, up-to-date guide to the EU AI Act rollout timeline, the Türkiye framework, and enterprise readiness.
How to prepare an AI risk assessment? A section-by-section guide and template: system description, data scope, risk scenarios, mitigations, human oversight, approval.
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.
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.
Enterprise AI adoption in Türkiye diverges by sector: regulated industries are cautious, manufacturing moves fast. Sector differences, maturity view, and common barriers.
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.
What is sovereign AI? Holding control over data, model, and infrastructure without outside dependency: data sovereignty, model independence, and local infrastructure.
How is enterprise RAG built? Pipeline layers, document preparation, retrieval, generation and quality measurement; a technical guide to enterprise RAG architecture and setup.
What is data governance? Data governance is the set of policies and processes that define the ownership, quality, security, and usage rules of data in an organization. This guide: a clear definition, the difference from data management, core components, the KVKK dimension, its role in AI projects, implementation steps, and FAQs.
The European Commission's supervision and enforcement powers over GPAI providers took effect on 2 August 2026. A practical roadmap for Turkish companies plus the KVKK link.
Stateless LLM calls aren't enough for agents. Short/long-term memory, episodic-semantic-procedural memory, and practical architecture in light of KVKK's Agentic AI guideline.
As of August 2, 2026 the EU AI Act GPAI enforcement powers and Article 50 transparency rules are live. What changed for Turkish firms, who is in scope, and a 90-day action list.
AI in e-commerce moved from recommendation to action. Conversational commerce, autonomous purchasing, ROI figures, and compliance with Turkey’s August 1, 2026 advertising rules and KVKK.
On August 2, 2026 the Commission's GPAI enforcement powers took effect. Fines reach EUR 15M/3%; a practical compliance roadmap for companies touching the EU market from Turkey.
Text RAG misses tables, charts, and layout. A field guide to multimodal RAG architectures (ColPali, vision embeddings), evaluation, and KVKK.
AI adoption in law doubled. A field guide to contract review, controlling hallucination with RAG, human judgment, and KVKK.
A field guide to the EU AI Act Article 50 transparency rules in force on August 2, 2026: chatbot disclosure, deepfake marking, and the KVKK intersection.
Employees are already pasting company data into unsanctioned AI tools. Why banning fails, a governance-first approach, and the KVKK generative-AI workplace guideline.
We compare Qdrant, Pinecone, Weaviate, Milvus and pgvector on scale, latency, hybrid search and KVKK. A 2026 decision flow, table, and selection checklist.
There is no single best model in 2026: how to match GPT-5.6, Claude Opus 4.8, Fable 5, Gemini 3.1 and open models to the job, plus routing and KVKK guidance.
Claims automation, underwriting, fraud detection and policy RAG. AI use cases in insurance and KVKK obligations for high-risk automated decisions.
RAG or long context in the million-token era? A practical guide to hybrid architecture, BM25 + vector, RRF, reranking, contextual retrieval, and the KVKK angle.
In production, prompts are living software assets. Registry, semantic versioning, evaluation, observability, rollback, and KVKK/EU AI Act compliance.
Choose SFT, DPO/ORPO/KTO or RFT/GRPO by the data you have. A 2026 fine-tuning guide: method table, RAG comparison, KVKK, and a project checklist.
Shadow AI is a daily reality for most employees in 2026. Banning backfires: a discovery playbook, risk table, 30/60/90 plan, and KVKK and EU AI Act guidance.
On August 2, 2026 GPAI enforcement powers go live. Scope, provider-vs-deployer, Article 50 transparency, and a concrete compliance checklist for Turkish companies.
Short- and long-term memory architecture for AI agents: vector DBs, summary buffers, decay policies, the ACE loop, failure modes, and KVKK-ready compliance patterns.
The secret to agentic AI success is discipline, not the model. Four bottlenecks in pilot-to-production, maturing frameworks, and KVKK/EU AI Act governance.
On August 2, 2026 GPAI enforcement powers go live: 3% fines, transparency rules, and the Digital Omnibus deferral. A practical countdown guide for Turkish companies.
Agentic commerce is the third wave: agents research and buy on the user's behalf. Google 'Buy for me', 4x conversion, the trust problem, and KVKK personalization limits.
EU AI Act GPAI obligations become enforceable on 2 August 2026. A guide to technical documentation, copyright, data summaries, and KVKK compliance for model providers and fine-tuners.
Agentic AI in e-commerce: conversational product discovery, autonomous customer service, and personalization. A 2026 Turkish field guide to building it all within KVKK limits.
With the Digital Omnibus, the EU AI Act's high-risk obligations were delayed to 2027-2028. Is this a cancellation or a reprieve? A practical roadmap for Turkish exporters.
AI in Turkish e-commerce is no longer an experiment. I cover demand forecasting, recommendation engines, agentic customer service and KVKK compliance with field scenarios.
What is a Turkish LLM and why is Turkish hard for AI? A comprehensive enterprise guide to morphology, tokenization, model selection, language support and Turkish NLP tasks.
On-prem LLM deployment guide: hardware requirements, GPU and VRAM, quantization savings, the serving stack, and on-prem vs API total cost of ownership calculation.
Open source LLM comparison: the strengths, licenses, sizes, Turkish performance of Llama, Qwen, Mistral and DeepSeek, plus an enterprise model selection framework.
GPAI enforcement starts August 2, 2026 with fines up to 3% of turnover or €15M. A 6-week compliance sprint for Turkish companies and the KVKK link.
Shopping agents, conversational commerce, and dynamic pricing drive conversion — how do you keep the KVKK balance? E-commerce use cases and risk mitigation.
KVKK practice in AI projects: the duty to inform, explicit consent, legitimate interest, VERBİS, the data-processing inventory, and DPIA explained step by step with templates.