Hazal Şimşek
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
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.
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.
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.
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.
Oracle AI Agents with Top 14 Use Cases & 5 Benefits
Generative AI is transforming industries, with 72% of companies deploying AI solutions. Oracle leverages advanced generative AI agents combining large language models, natural language processing and retrieval-augmented generation (RAG) to execute complex , multi-step workflows, and integrate with existing business processes. Explore what Oracle AI agents are, how they work, their use cases, and their benefits.
Enterprise AI Company Landscape Breakdown in 2026
Artificial intelligence is revolutionizing every industry with various use cases. Demand for AI products grows as more companies shift their legacy systems with digital products to survive in the competitive business landscape. However, the AI vendor landscape is crowded, and most executives or decision-makers have limited knowledge of the AI landscape.
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