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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 SoftwareJun 17

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.

Agentic AIJun 15

Top 10 Agentic AI ERP Systems & 6 Solutions

Agentic AI ERP integrates AI agents into Enterprise Resource Planning systems. For example, an ERP agent might detect a shipping delay and autonomously reroute deliveries, notify customers, and update inventory.  Explore agentic AI ERP systems for enterprise-level and smaller and mid-sized businesses (SMBs): The list includes a mix of enterprise, and smaller and mid-market tools.

AIJun 15

Intelligence Density of 69 LLMs: Smarter or More Efficient?

We tracked 69 LLMs released between February 2023 and May 2026 and collected 10 public benchmarks to measure intelligence density. We divided the capability score by the resource the model consumes (active parameters, training compute, and inference price).

AIJun 15

Compare 20+ Responsible AI Platforms & Libraries

Responsible AI platform market includes two types of software:enterprise responsible AI platforms and open-source responsible AI frameworks and libraries. We listed some of the most recognized tools based on metrics such as review volume, feature sets, GitHub scores, and Fortune 500 references.

Enterprise SoftwareJun 12

Top 30+ DevOps Automation Tools: Evaluation of POC Metrics

DevOps success relies on two distinct capabilities: end-to-end orchestration and specialized automation. Select a category below to explore DevOps automation tool comparisons, practical benefits, and hands-on operational insights: Toolchain integration for end-to-end DevOps automation Toolchain integration is the practice of connecting various tools used in the DevOps lifecycle to create a seamless, automated workflow.

Enterprise SoftwareJun 11

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 AIJun 11

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.

Enterprise SoftwareJun 11

Top 10+ IT Process Automation Tools based on 85+ Tools

76% of IT leaders struggle with the complexity of the IT landscape, making it hard to choose right IT process automation tools.

Agentic AIJun 9

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.

AIJun 8

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.