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
Compare Top 53 Legal AI Software by Pricing
In the last 2 decades, I worked with enterprises as a consultant and tech vendor to deploy advanced analytics & AI solutions. I looked into more than 50 legal tech companies using generative AI and categorized the leading products. Click the category names below to see leading players in that category: Explore more details on…
100+ AI Use Cases with Real Life Examples
Exploring AI use cases can help companies identify 44% more opportunities and lower external funding needs by 39.5% before implementation. During my nearly 20 years of experience of implementing advanced analytics & AI solutions at enterprises, I have seen the importance of use case selection. I analyzed 100+ AI use cases, their real-life examples and…
LLM Orchestration: 22 Frameworks and Gateways
Optimizing LLM orchestration is key to improving performance while keeping resource use under control. To evaluate how different orchestration approaches perform in practice, we benchmarked: Discover selected LLM orchestration tools, including developer frameworks and enterprise gateways: LLM Orchestration involves managing and integrating multiple Large Language Models (LLMs) to perform complex tasks efficiently. It ensures smooth…
AI Compliance: Top 6 challenges & Real-life failures
The rise in artificial intelligence (AI) usage is prompting new laws and ethical standards. South Korea became the first nation to fully enforce a comprehensive, standalone AI law.18 Explore what AI compliance is, why it matters now, its challenges, and real-life examples where models fail to meet legal standards: AI compliance refers to the process…
10+ Agentic AI Trends and Examples
We reviewed and compared Agentic AI trends from several major industry reports, benchmarks, and vendor disclosures. The sources point out that the future of agentic AI is about integrating AI deeply and transforming business approaches by restructuring current frameworks. Key takeaways: As organizations scale their AI and analytics initiatives, maintaining high data quality across pipelines…
SAP AI Agents: Joule Studio case studies
SAP predicts that AI agents could support up to 80% of the most-used business tasks in SAP. 36 We evaluated SAP’s AI agent portfolio, related case studies, and supporting infrastructure and identified three shifts shaping SAP’s AI agent strategy: The table shows some other enterprise AI agent builder providers that can be an alternative to…
Best 50+ Open Source AI Agents Listed
Everyone has been building AI agents so after hands-on testing with popular AI coding agents, AI agent builders and tools use benchmarks to evaluate their real-world capabilities, we put together a curated list of the best 50+ open source AI agents. Click the category headers to jump straight to our top picks: Agent development &…
Discover 8 SAP BTP Generative AI Tools & Examples
SAP is expanding its generative AI capabilities through the SAP BTP platform to support enterprise use cases. Learn about the structure of SAP’s Generative AI Hub, its supporting tools, and real-world benefits for enterprises. The chart below maps each SAP BTP AI tool by how many business scenarios it covers and how quickly they can…
WLA Migration: Best Practices & Vendor Approaches
67% of organizations are transitioning to more functional workload automation tools, as the right choice can improve operational efficiency by 56% and reduce costs by 39% according to the State of IT Automation Report.55 Explore workload automation (WLA) migration, best practices, what to pay attention to, and the differing approaches from different vendors. WLA (Workload…
Compare IBM Tivoli Workload Scheduler
IBM Tivoli Workload Scheduler (TWS) was renamed IBM Workload Scheduler, part of the broader IBM Workload Automation suite (WLA), shifting toward hybrid cloud and advanced automation features. Follow the links below to IBM Tivoli alternatives’ benefits and case studies: IBM Tivoli Workload Scheduler (TWS) is an enterprise job scheduling and workload automation solution for platforms…
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