Showing 385–408 of 510 articles, newest first.
In Türkiye, AI Engineer average is 50,500 TL (Eleman.net), Istanbul 75-110K TL, Senior 180K TL+. Globally, OpenAI/Anthropic/DeepMind L6+ roles hit $850K-$1.28M (Levels.fyi). LinkedIn AI Engineer demand YoY +74%. City, experience, equity, tax (Wise, sole-prop), and Türkiye-to-remote transition strategy — complete data report.
Microsoft 365 Copilot costs roughly 1,000-1,250 TL/user/month through Turkish CSPs. Is ~100K TL/month for a 100-person company actually worth it? An end-to-end decision-support guide covering Word/Excel/Teams/Outlook/Copilot Studio use cases, hard ROI math in TL, KVKK and Microsoft EU Data Boundary specifics.
After 15 years of Chrome dominance, the browser category is genuinely fracturing. I spent a week with ChatGPT Atlas, Perplexity Comet, and Dia in parallel: agent mode in realistic scenarios, Turkish search quality, KVKK risk, tab management, performance, and a decision matrix for who should use which — end-to-end practitioner guide.
The AI SDR market is moving from $4.39B in 2024 toward $47.12B by 2034. 11x.ai (Alice + Mike, $50-60K/yr), Artisan (Ava, $24K/yr, December 2025 LinkedIn-ban scandal), AiSDR ($750-2K/mo), and ColdReach (niche prospecting) each serve different B2B segments. This guide covers a deep 4-vendor comparison, a hands-on Turkish outbound quality test, KVKK compliance, Turkish B2B behavior, ROI math, and a 6-month Turkish SaaS pilot case study.
ChatGPT Search now serves 800M weekly users, and roughly 18% of all searches happen inside LLM interfaces. Generative Engine Optimization (GEO) is the discipline of becoming a cited source across ChatGPT, Perplexity, Gemini, and Google AI Overviews. This playbook covers: GEO vs SEO vs AEO, the 7 technical foundations (Schema, E-E-A-T, first 200 words, comparison tables, citation frequency, entity consistency, multi-format), a 50+ item audit checklist, measurement tools (LLMrefs, Profound, Otterly), and a Turkish B2B SaaS case study.
26% of Fortune 500 named a CAIO by 2026 (up from 11% in 2024). 50%+ now report directly to the CEO or board. A C-level playbook comparing CAIO vs CDO vs expanded CTO, the 7 core CAIO responsibilities, a full JD template, reporting structures (hub-and-spoke vs centralized vs federated), timing guidance for Turkish holdings, and fractional-CAIO alternatives for SMEs.
95% of AI projects never escape pilot purgatory. A C-level decision guide built on BCG's 10-20-70 rule, McKinsey State of AI 2025 data, a three-layer ROI measurement model (Utilization → Productivity → Business Outcome), a use-case prioritization matrix, and two anonymized Turkish enterprise cases.
Of FDA's 1,451 AI-enabled medical devices, 1,104 are in radiology; in January 2026 Aidoc earned single-CT multi-condition detection clearance. A complete healthcare AI playbook for Turkish hospitals: SaMD pathway, HL7 FHIR integration, the HIPAA + KVKK + ISO 27799 compliance matrix, and case studies from Acıbadem, Memorial, and Medipol.
A complete compliance playbook for Turkish banks: BDDK's AI Safe Testing and Validation Environment (AI Sandbox) launched February 2026 with ~30 banks and 100 CIOs, KKB's shared testing infrastructure, the EU AI Act's high-risk classification of credit scoring, and real-world use cases in credit scoring, fraud detection, AML and call center — with documented case studies.
KVKK's March 12, 2026 Agentic AI guidance redefines multi-step data processing, deepened black-box concerns, and responsibility allocation for agentic AI systems. Includes the 15-question assessment framework, a 7-step DPIA template, agentic-AI-specific risks, and banking and e-commerce case studies — a complete implementation guide for Turkish DPOs.
On August 2, 2026 the European Commission's full enforcement powers under the AI Act take effect: fines up to EUR 35M or 7% of global turnover, GPAI provider obligations, CE marking for high-risk systems, and EU representative designation. The Act applies extraterritorially to every Turkish company placing AI on the EU market — this guide is your end-to-end compliance roadmap.
If you sell on Trendyol/Hepsiburada or run your own Turkish e-commerce site: an end-to-end AI pipeline that turns a product link into a 30-second mobile-optimized ad reel. With Pika 2.2 + Runway Gen-4 + HeyGen + ElevenLabs + Suno you can produce one video for $3-8 — 60-100x cheaper than an agency. Includes Meta Advantage+ integration, 9:16 vertical format, KVKK + lip-sync caveats, and a real Trendyol seller case study.
Sora 2, Veo 3, Runway Gen-4, and Kling 2.6 — I benchmarked the four leading 2026 AI video models with five identical prompts: Cappadocia balloons, an e-commerce product ad, character consistency, Turkish lip-sync, and a parkour action sequence. A field report on price, audio sync, character fidelity, Turkish e-commerce usage, the OpenAI Sora API shutdown news, and Chinese alternatives (Hailuo, Vidu, Seedance) — with 25+ sources.
Claude Code (Anthropic), Cursor (Composer 2.5), and Windsurf (Cascade) — the three major AI coding assistants as of May 2026. SWE-bench Verified and SWE-bench Pro scores, pricing (Pro $20, Max $200, Cursor Business $40, Windsurf Pro $15), agent modes, hybrid setup recommendations, and adoption guidance for Turkish engineering teams.
How do you connect Claude Code, Cursor, and VS Code to enterprise tools through the Model Context Protocol (MCP)? Step-by-step setup, prompt examples, token economics, and a TypeScript guide for writing custom MCP servers across GitHub, Linear, Slack, PostgreSQL, Salesforce, BigQuery, Figma, Notion, Confluence, and Filesystem.
Anthropic's Multi-Agent Research system beat single-agent Claude Opus by 90.2% on internal research evals using an orchestrator-worker pattern. This guide covers lead agent + parallel subagent architecture, structured artifact handoffs, planner-generator-evaluator loops, Claude Agent SDK with .claude/agents/, cost caps, deadlock prevention, comparisons with CrewAI/LangGraph/AutoGen, and a Turkish law-firm contract-analysis case.
Launched by Anthropic in November 2024, the Model Context Protocol (MCP) became the 'USB-C of AI' in 2026 — with 5,000+ servers, adoption by OpenAI, Google, Microsoft, and Salesforce, and its own Wikipedia page. This guide covers MCP's three primitives, transport layer, OAuth 2.1, building your own server, security risks, and Turkish-market opportunities for Yargıtay/BIST/KVKK-style MCPs.
MMLU, HumanEval, SWE-bench Verified/Pro, ARC-AGI-2, GPQA Diamond, AIME, LiveCodeBench v6, Terminal-Bench 2.0, OSWorld, HLE, plus Turkish benchmarks (TR-MMLU, TUMLU) — what each one measures, the frontier thresholds, contamination and cherry-picking risks, and practical meaning for CTOs, investors, and engineers. 32+ references.
We benchmarked GPT-5.5, Claude Opus 4.7 and Gemini 3.1 Pro on Turkish workloads end to end: TR-MMLU and TUMLU benchmark numbers, a 50-prompt real-world test across legal, finance, code, creative writing and Q&A, an A/B in a Turkish enterprise, TL-based cost analysis and a decision matrix for picking the right model for each Turkish task. 35+ references.
An enterprise decision matrix between self-hosted LLM and API: ~500M tokens/day break-even, H100/H200/B200 GPU cost, quantization impact, KVKK + BDDK + ITAR/EAR constraints, AI sovereignty strategy, and three anonymized Turkish sector cases (banking, healthcare, SMB) on hybrid architecture. 2026 reference guide for Turkish enterprises.
A 2026 snapshot of the Turkish open-source LLM ecosystem: Trendyol-LLM, Cosmos-Llama, KanarYa, Kumru AI, the TÜBİTAK BİLGEM domestic model, and the T3 AI Baykar defense model. Detailed decision guide covering MMLU-TR and TUMLU benchmarks, licensing, tokenization gap, VRAM requirements, self-hosting needs, and which model to pick for which use case.
Prompt engineering is dead, context engineering is alive. Anthropic's 90% cost-cutting prompt caching, GPT-5.5's 272K input threshold, Claude Opus 4.7's 1M context, and agent runtime state management are rewriting AI engineering in 2026. Turkish token efficiency, KVKK-compliant state stores, the 'Don't Break the Cache' principle.
Naive RAG's six fatal weaknesses are fully solved in 2026 by agentic RAG. A production-grade RAG with plan/reflect/verify loops, hybrid retrieval, and claim-verification built on the LangGraph v0.4 state-graph used by Klarna, LinkedIn, and Uber — plus a KVKK-compliant Turkish bank case study and cost-latency tradeoffs.
30 ChatGPT prompts for Turkish lawyers - monopoly-depth prompt library. 10 categories covering legal drafting, contract analysis, case research, client preparation, KVKK compliance, employment law, family law, criminal law. Each prompt: Turkish legal framework (TBK, TCK, IK), real article references, limitations, when lawyer verification mandatory, KVKK confidentiality warnings, model recommendations.