No results found.
Hazal Şimşek

Hazal Şimşek

Industry Analyst
77 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 SoftwareDec 2

Benchmark TOP 5 SAP Job Scheduling Software

SAP job scheduling solutions can facilitate process management in SAP systems by solving challenges like: Compare top SAP batch scheduling tools based on their capabilities, pros and cons: Sorting: The tools are sorted by their number of reviews except for the sponsors that are listed at the top with a link to their website.

Agentic AIDec 2

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.

Enterprise SoftwareDec 1

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.

Enterprise SoftwareDec 1

Top 10 Batch Scheduling Software: Features, Pros & Cons

Enterprise batch scheduling software automates repetitive IT tasks, freeing internal teams to focus on higher-value work. However, there are tens of solutions with different costs. For: Batch scheduling market leaders Leading batch job scheduling tools, ranked by score. Note that sponsors are prioritized in the original list.

Agentic AINov 26

SAP AI Agents: 20 Joule use cases, features & case studies

SAP predicts that AI agents could support up to 80% of the most-used business tasks in SAP. These agents go beyond automating tasks by solving problems and offering innovative solutions, acting like an extra “brain” for enterprise operations.

Enterprise SoftwareNov 25

10 Tools to Automate SAP Meter to Cash Process

One of the biggest challenge for utility service providers is the increasing complexity of managing multiple tariff structures and customer billing arrangements. Utility providers can overcome this complexity by streamlining their SAP meter-to-cash process which can ensure accurate billing and customer satisfaction.

AINov 25

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.

Enterprise SoftwareNov 19

Discover 8 SAP BTP Generative AI Tools

70% of 500 top-tier IT leaders indicated that they plan to prioritize generative AI for their businesses in the next year according to generative AI stats. 80% of big tech firms have already invested in generative AI. SAP is expanding its generative AI capabilities through the SAP BTP platform to support enterprise use cases.

Enterprise SoftwareNov 18

Compare Top 15 Data Orchestration Tools

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.

AINov 17

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.