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
Transform OT Automation with IT/OT Convergence
Software-driven disruption is reshaping OT automation by enabling flexible, hardware-agnostic platforms to handle traditional control functions, while new protocols like OPC UA aim to modernize OT communication through richer, more standardized data exchange.
How to Manage Hybrid IT Infrastructure: Top 30 Tools
Manual hybrid IT infrastructure management is inefficient. Managed hybrid infrastructure services use automation, orchestration and standardized frameworks to simplify operations and ensure system reliability. Explore top hybrid IT infrastructure management tools and their pricing below: We sourced score information from leading B2B user review platforms and pricing from the tools’ websites.
Compare Top 15+ Production Planning Tools by Features
While examining the production planning tools market, we found that much of the available information is outdated, failing to reflect the latest advancements and deployment options. To provide a clearer view, the market can be categorized into key segments: Note that the rating data is gathered from top B2B user review websites.
Compare Top 13 LLM Orchestration Frameworks
Leveraging multiple LLMs concurrently demands significant computational resources, driving up costs and introducing latency challenges. In the evolving landscape of AI, efficient LLM orchestration is essential for optimizing performance while minimizing expenses. Explore key strategies and tools for managing multiple LLMs effectively.
Oracle AI Agents with Top 14 Use Cases & 5 Benefits
Generative AI is transforming industries, with 72% of companies deploying AI solutions. Oracle leverages advanced generative AI agents combining large language models, natural language processing and retrieval-augmented generation (RAG) to execute complex , multi-step workflows, and integrate with existing business processes. Explore what Oracle AI agents are, how they work, their use cases, and their benefits.
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.
3 Types of EBS Migration: Best practices & Key Benefits
Oracle EBS is a popular suite of business applications that was released by Oracle Corporation in 2001 to manage and automate various business processes. Oracle EBS migration refers to the migration process for Oracle EBS. This migration may include types like: 1.
Oracle EBS: Features, Pros & cons
Although Oracle Fusion Applications (Oracle Cloud ERP) was released in 2011, many businesses still rely on Oracle E-Business Suite (EBS), as shown by the Google Trends graph, which highlights the ongoing popularity of Oracle EBS compared to Oracle Cloud ERP (see Figure 1).
Oracle Cloud Infrastructure: Azure & OpenAI's Preferred Cloud
Oracle Cloud Infrastructure (OCI) has emerged as a leader among alternative cloud providers, with a 49% growth in Q3 2024. This growth is driven by OCI’s strong integration with enterprise applications, appealing to businesses seeking robust cloud solutions. However, OCI faces challenges, including a steep learning curve, complex setup, and occasional performance slowdowns.
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.
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