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Hazal Şimşek

Hazal Şimşek

Industry Analyst
92 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 Software
Feature Comparison
Aug 4

Compare Top 5 Stonebranch Alternatives

Stonebranch is a SaaS workload automation solution with a wide range of community-driven pre-packaged integrations. However, Stonebranch alternatives may suit specific users. Follow the links below to see these Stonebranch alternatives’ benefits and case studies: ~30 WLA tools exist in the workload automation software landscape. We analyze each competitor’s features, user reviews and market presence…

Agentic AI
Insight
Aug 4

Top 10 Agentic AI ERP Systems & 6 Solutions

Agentic AI ERP integrates AI agents into Enterprise Resource Planning systems. For example, an ERP agent might detect a shipping delay and autonomously reroute deliveries, notify customers, and update inventory. Explore agentic AI ERP systems for enterprise-level and smaller and mid-sized businesses (SMBs): The list includes a mix of enterprise, and smaller and mid-market tools.…

Agentic AI
Benchmark
Aug 4

Agentic Search in 2026: Benchmark 8 Search APIs for Agents

Agentic search plays a crucial role in bridging the gap between traditional search engines and AI search capabilities. Search APIs are the first layer of an agentic tool, where performance caps the quality of everything downstream. We benchmarked 8 search APIs across 100 real-world AI/LLM queries, evaluating 4,000 retrieved results with an LLM judge that…

Agentic AI
Insight
Aug 4

4 Agentic AI Design Patterns & Real-World Examples

Agentic AI design patterns enhance the autonomy of large language smodels (LLMs) like Llama, Claude, or GPT by leveraging tool-use, decision-making, and problem-solving. This brings a structured approach for creating and managing autonomous agents in several use cases. An agent is considered more intelligent if it consistently chooses actions that lead to outcomes more closely…

Agentic AI
Open World Evaluation
Aug 4

The 7 Layers of Agentic AI Stack [2026]

The rise of agentic AI has introduced a technology stack that extends well beyond simple calls to foundation-model APIs. Unlike traditional software stacks, where value often concentrates at the application tier, the agentic AI stack distributes value more unevenly. Some layers offer strong opportunities for differentiation and moat building, while others are rapidly becoming commoditized.…

Enterprise Software
Open World Evaluation
Jul 29

Compare Top 7 Meter-to-Cash Solutions

Utilities must accurately track energy consumption, generate bills, and collect payments across millions of customers. However, fragmented systems, legacy infrastructure, and complex billing processes can make the meter-to-cash (M2C) cycle inefficient and error-prone. Meter-to-cash solutions help utilities automate the entire process from meter data collection to invoicing and payment reconciliation, improving billing accuracy, operational efficiency,…

Enterprise Software
Feature Comparison
Jul 29

Top 7 Alternatives to Automic Automation

Automic Automation is a prominent workload automation tool in the WLA market. However, given businesses’ unique and often niche requirements, it is essential to explore several alternatives. Assess each competitor’s user reviews and indicators of their market presence to determine their strengths and benefits: * See sections below for each product for rationale Automic Automation,…

Enterprise Software
Insight
Jul 29

15+ Use Cases & AI Applications of Augmented Reality

Augmented Reality (AR) is a digital media platform that allows the user to integrate virtual context into the physical environment in an interactive, multi-sensory way. Implementing AI enhances the AR experience by allowing deep neural networks to replace traditional computer vision approaches, and add new features such as object detection, text analysis, and scene labeling.…

Enterprise Software
Open World Evaluation
Jul 29

Top 5 SAP BTP Automation Platforms

SAP BTP combines data and analytics, AI, application development, automation, and integration in a unified environment. It is a platform optimized for SAP applications in the cloud. The platform is significant in its reach, given that SAP customers account for 87% of total global commerce28. Follow the links to explore benefits and case studies of…

Enterprise Software
Open World Evaluation
Jul 29

Compare Top 15 Data Orchestration Tools

The data orchestration tools include: Discover the leading data orchestration tools to start orchestrating your data pipelines and data warehouses: Note: WLA is short for workload automation. The shortlisted open source and enterprise data tools are plotted below: Discover how we shortlisted these tools. The features below are based on B2B review platforms. Stonebranch UAC…