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Hazal Şimşek

Hazal Şimşek

Industry Analyst
56 Articles
Stay up-to-date on B2B Tech

Hazal is an industry analyst at AIMultiple.

Research interests

Hazal focuses on

  • process intelligence including process mining
  • enterprise automation including IT automation and low-code no-code (LCNC) automation

Professional interests

She has experience as a quantitative market researcher and data analyst in the fintech industry.

Education

Hazal received her master's degree from the University of Carlos III of Madrid and her bachelor's degree from Bilkent University.

Latest Articles from Hazal

Enterprise SoftwareFeb 26

Top 50 Process Mining Use Cases & Applications

Recent reports project that process mining capabilities can boost process improvement efforts by 20%. Beyond theoretical benefits, examining real-life use cases and case studies bridges the gap between data potential and high-impact operational excellence, ensuring results-driven implementation across the organization.

CybersecurityFeb 26

Compare Top 20 LLM Security Tools & Free Frameworks in 2026

Chevrolet of Watsonville, a car dealership, introduced a ChatGPT-based chatbot on their website. However, the chatbot falsely advertised a car for $1, potentially leading to legal consequences and resulting in a substantial bill for Chevrolet. Incidents like these highlight the importance of implementing security measures to LLM applications.

Enterprise SoftwareFeb 20

Advanced Metering Infrastructure: 10+ Solutions & Case Studies

Advanced metering infrastructure (AMI) is an integrated system, including smart technology solutions with specific advanced capabilities. AMI captures interval data points to monitor and manage factors like voltage stability and frequency flections, maintaining power quality. This is why the interest in AMI has been at a gradual rise since 2022 (See Cover image).

AIFeb 19

Benchmark Best 30 AI Governance Tools in 2026

We analyzed ~20 AI governance tools and ~40 MLOps platforms that deliver AI governance capability to identify the market leaders based on quantifiable metrics. Click the links below to explore their profiles: Compare AI governance software AI governance tools landscape below shows the relevant categories for each tool mentioned in the article.

AIFeb 6

LLM Orchestration in 2026: Top 22 frameworks and gateways

Running multiple LLMs at the same time can be costly and slow if not managed efficiently. Optimizing LLM orchestration is key to improving performance while keeping resource use under control.

Agentic AIFeb 5

SAP AI Agents in 2026: Joule Studio Features & Case Studies

SAP predicts that AI agents could support up to 80% of the most-used business tasks in SAP. We evaluated SAP’s AI agent portfolio, related use cases, case studies, and supporting infrastructure to assess how agent capabilities are being positioned within enterprise workflows.

Enterprise SoftwareFeb 4

Top 15+ Production Planning Tools in 2026: Features & Reviews

We reviewed 30+ production planning tools across ERP and standalone vendors and shortlisted 15 tools based on current functionality, integration depth, and market relevance.

Agentic AIFeb 2

Agentic Search in 2026: Benchmark 8 Search APIs for Agents

Agentic search plays a crucial role in bridging the gap between traditional search engines and AI search capabilities. These systems enable AI agents to autonomously find, retrieve, and structure relevant information, powering applications from research assistance to real-time monitoring and multi-step reasoning.

AIJan 30

Benchmark of 16 Best Open Source Embedding Models for RAG

Most embedding benchmarks measure semantic similarity. We measured correctness. We tested 16 open-source models, from 23M-parameter to 8B-parameter embeddings, on 490,000 Amazon product reviews, scoring each by whether it retrieved the right product review through exact ASIN matching, not just topically similar documents.

AIJan 29

AI Compliance in 2026: Top 6 Challenges & Real-Life Failures

The rise in artificial intelligence (AI) usage is prompting new laws and ethical standards. South Korea recently became the first nation to fully enforce a comprehensive, standalone AI law. Because of these rapid shifts, 77% of companies view AI compliance as a top priority.