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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 SoftwareSep 28

Compare Top 10 Control-M Alternatives by Pros & Cons

Control-M is one of the WLA feature leaders according to AIMultiple’s analysis based on 7 different data sources.

Enterprise SoftwareSep 28

Compare 20+ Cloud Orchestrators

82% of organizations stated in a survey that they plan to replace their legacy automation tools or add cloud orchestration software. Yet, picking the correct cloud orchestration tool is a challenge since there are more than 20 cloud orchestrators and various tool types.

Enterprise SoftwareSep 28

Compare Top 10 Azure Scheduler Alternatives: Pros & Cons

Azure scheduler is a cloud-based service from Microsoft that can run jobs on a centralized platform. However, Azure scheduler alternatives can offer better performance for external integrations, multi-cloud support and advanced features, such as troubleshooting complex jobs.

Enterprise SoftwareSep 23

Compare Top 5 Winshuttle Competitors

Winshuttle is a leading platform for SAP data management and automation however, users complain its high cost and performance issues. See Winshuttle’s features, pros and cons drawn from user experience, and top 5 Winshuttle alternatives: Overview of Winshuttle Winshuttle is a software platform for master data management and process automation in enterprise environments.

Enterprise SoftwareSep 23

ActiveBatch: Pros, Cons & Features

ActiveBatch is a leading workload automation software and enterprise job scheduling tool, designed to orchestrate jobs and workflows across systems. According to AIMultiple’s analysis of WLA market, ActiveBatch stands out as a market leader based on both the volume of user reviews and their average ratings.

AISep 22

Enterprise AI Company Landscape Breakdown

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.

AISep 19

AI Compliance: Top 6 challenges & case studies

The rise in artificial intelligence (AI) usage is prompting new laws, regulations, and ethical standards. Therefore, 77% of companies view AI compliance as a top priority, and 69% have already adopted responsible AI practices to check for AI compliance status and identify potential compliance risks in their business.

DataSep 17

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.

Enterprise SoftwareSep 11

Advanced Metering Infrastructure: 10+ Solutions & Case Studies

Advanced metering infrastructure (AMI) is an integrated system, including smart technology solutions with specific advanced capabilities. AMI captures interval data points to monitor and manage factors like voltage stability and frequency flections, maintaining power quality. This is why the interest in AMI has been at a gradual rise since 2022 (See Cover image).

Enterprise SoftwareSep 11

40+ Best Batch Processing Applications You Must Know

According to big data statistics, 90% of business leaders consider data and analytics as key to their organization’s digital transformation. Yet, they can only use 12% of their data. Such stark differences between goals and current capabilities exist in numerous tech domains and batch processing can help close these gaps.

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Hazal Şimşek | AIMultiple: High Tech Use Cases & Tools to Grow Your Business