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
How to Manage Hybrid IT Infrastructure: Top 30 Tools [2026]
Manual hybrid IT infrastructure management is inefficient. Managed hybrid infrastructure services use automation, orchestration and standardized frameworks to simplify operations and ensure system reliability. Explore top hybrid IT infrastructure management tools and their pricing below: We sourced score information from leading B2B user review platforms and pricing from the tools’ websites.
Compare Top 15 Data Orchestration Tools in 2026
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.
Compare 20+ Responsible AI Platforms & Libraries in 2026
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.
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.
Agentic Search: 8 AI Web Data Tools in 2026
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.
RAG Monitoring Tools Benchmark in 2026
We benchmarked leading RAG monitoring tools to assess their real-world impact on latency and developer experience. Our results show that: Results & Analysis The following table summarizes the latency performance of the RAG pipeline under different monitoring instrumentations: Key finding: All tools are production-ready All tested observability platforms introduce negligible latency overhead.
Benchmark of 11 Best Open Source Embedding Models for RAG
Most embedding benchmarks measure semantic similarity. We measured correctness. We tested 11 open-source models 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. Open source embedding models benchmark overview We evaluated retrieval accuracy and speed across 100 manually curated queries.
Compare Top 20 LLM Security Tools & Free Frameworks
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.
Top 7 Machine Learning Process Mining Use Cases with GenAI
For more than a decade, machine learning process mining has been used to enhance traditional methods. Today, vendors promote process mining AI with features such as predictive analytics and recent generative AI integrations, but many business leaders still struggle to see how these capabilities translate into practical benefits.
19 Best Process Analysis Tools & Techniques in 2026
Process analysis is the first step to process visualization, improvement and management, which is why process analysis has been gaining popularity, as Figure 1 shows. Despite the increasing interest, only 15% of business processes are analyzed and managed properly as BPM statistics show.
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