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
AI Risk Assessment: 4 AI Risks, Case Studies & Top Tools
As AI becomes central to business operations, AI risk assessment and mitigation is now a strategic priority. Discover four main types of AI risks supported by real-world examples, leading tools, and legal frameworks and policies that help organizations detect, assess, and mitigate AI risks effectively while maintaining compliance and trust.
LLM Automation: Top 7 Tools & 8 Case Studies
LLM automation refers to shift to intelligent automation tools that leverage LLMs, including AI agents, fine-tuned LLMs and RAG models to automate and coordinate tasks. Explore our comprehensive coverage for what LLM automation is, its top real-life applications and major tools.
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.
Synthetic Data Chatbot: Top 26 Tools to Test and Train Them
Synthetic data is expected to surpass real-world data as the primary source for AI training by 2030, and chatbots are no exception. Once mainly used to train bots when real conversations were scarce or sensitive, it’s now just as vital for testing, validating performance, stress-testing, and ensuring compliance when real logs aren’t safe or available.
Top 10+ Agentic Orchestration Frameworks & Tools
79% of executives are already adopting AI agents, although 19% of firms struggle with coordination. They cannot manage agents across different applications. Agentic orchestration offers the solution. Explore agentic orchestration is, its patterns, and the top frameworks that enable multi-agent collaboration.
Top 10 Agentic AI ERP Systems & 6 Solutions
Gartner predicts that by 2028, one-third of enterprise software will include agentic AI, making up to 15% of daily decisions autonomous. Agentic AI ERP refers to AI agents integrated into Enterprise Resource Planning systems, enabling data analysis, prediction, and autonomous actions.
AI Sandbox Risks & Wins: 30 Tools & 7 Real-Life Examples
Interest in AI sandboxes has surged in recent months. They provide secure environments to develop, test, and deploy AI models without risking sensitive data or system stability.
Top 29 DevOps Automation Tools for Efficient Workflows
35% of last year’s automation efforts were dedicated to DevOps automation, based on a recent report on IT automation. This reflects the growing need for tools that help development and operations teams automate their development process and efficiently implement DevOps practices.
Benchmark of 30 Finance LLMs: GPT-5, Gemini 2.5 Pro & more
Large language models (LLMs) are transforming finance by automating complex tasks such as risk assessment, fraud detection, customer support, and financial analysis. Benchmarking finance LLM can help identify the most reliable and effective solutions.
Compare IBM Tivoli Workload Scheduler
IBM Tivoli Workload Scheduler (TWS) was renamed IBM Workload Scheduler, part of the broader IBM Workload Automation suite (WLA), reflecting IBM’s shift toward hybrid cloud and advanced automation. Yet, Tivoli remains as a significant tool that is commonly used by enterprises across the globe.
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