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Hazal Şimşek

Hazal Şimşek

Industry Analyst
57 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 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.

Enterprise SoftwareFeb 2

Compare Top 20+ IT Orchestration Tools

Orchestration tools market includes sub-categories. See leading software in each category: Browse the complete list below, arranged alphabetically, except for sponsored tools which appear at the top: *The table above lists the products in alphabetical order, with the exception of the sponsors.

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.

AIJan 28

Top 20 AI GRC Software & Technologies in 2026

As AI systems integrate into business processes, organizations face growing AI governance, risk, and compliance needs. In our prior research, we tested AI risks in practice with an AI bias benchmark, finding persistent bias around race, gender, and socioeconomic assumptions in several models.

Agentic AIJan 28

Top 10+ Agentic Orchestration Frameworks & Tools

We benchmarked four major agentic frameworks using an identical five-agent travel-planning workflow and consistent LLM settings. Each framework was executed 100 times, and we measured pipeline latency, token usage, agent-to-agent transitions, and the agent-to-tool execution gap to isolate true orchestration overhead. Agentic orchestration benchmark All frameworks successfully completed the task across 100 run each.

Enterprise SoftwareJan 22

3 Types of EBS Migration: Best practices & Key Benefits in 2026

Oracle EBS is a well-known suite of business applications that was released by Oracle Corporation in 2001 to manage and automate various business processes. The term “Oracle EBS migration” describes the Oracle EBS migration procedure. This migration could consist of the following types:  Oracle EBS migration refers to the migration process for Oracle EBS.

Enterprise SoftwareJan 6

Compare Top 15 Data Orchestration Tools

The data orchestration tools include: These tools can enhance data pipelines, improve data quality, and address version control challenges, enabling companies to use 60-75% of their otherwise unused data, as big data stats show.

AIJan 2

Compare 20+ Responsible AI Platforms & Libraries

Responsible AI platform market includes two types of software. Follow the links to learn more: Enterprise-focused responsible AI platforms such as: Open-source responsible AI libraries that deliver specific functionality (e.g.