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
18 Process KPIs to Monitor Process Performance
Efficient process management can boost productivity by 30-50%, yet improvement and automation efforts are rarely monitored, as BPM stats show. Setting realistic process KPIs (key performance indicators) is time-consuming and error-prone, and analysts often struggle to quantify the benefits of their improvements.
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.
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 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.
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.
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.
6 Process Mining Trends & 20 Stats to Watch for
Process mining has evolved into a mainstream approach to discover and improve business processes, and its market is projected to grow by 40-50% by passing $1 billion in 2022. It is being applied to numerous sectors and departments, ranging from healthcare to logistics.
CPFR: TOP 21 Tools, 6 Case Studies & 5 Benefits
The global market for demand planning solutions, including CPFR (collaborative planning, forecasting, and replenishment) software is growing with the need for real-time data sharing, cloud platforms, and AI-driven forecasting to build more integrated and resilient supply chains.
Compare 15+ Script Scheduler Providers
Script scheduling tools are essential in IT automation, running scripts based on schedules or triggers. They can be categorized into: Selecting an appropriate tool involves considering project requirements, scalability, and prioritized functionality. Check out highlights script schedulers and enterprise alternatives before taking your decision. Script schedulers This section covers script-specific scheduling tools and methodologies.
Compare Top 10 Service Orchestration Platforms
Gartner predicts that by 2025, 80% of organizations will replace automation tools with service orchestration and automation platforms (SOAPs). These platforms orchestrate complex automation workflows and help implement business services that span multiple cloud environments. With their ability to manage automated processes, SOAPs reduce operational overhead and boost agility.
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