The future of autonomous systems, LLMs and agent-based workflows, distilled for enterprise leaders.
AI contract review scans dozens of pages in seconds to flag risky clauses and compliance gaps. Learn how AI contract analysis works, which risks it catches, and what it delivers for legal teams.
The rapid advancement of digital technologies has led to the emergence of new tools for understanding and influencing human behavior. Artificial intelligence is at the forefront of these tools. While a significant portion of research in child psychology focuses on examining child behavior, parental attitudes are one of the most critical factors shaping child development. This article explores how artificial intelligence can indirectly contribute to child psychology by analyzing parental behavior. It examines approaches such as AI-powered parenting coaching, analysis of parental communication, and personalized psychological guidance. Furthermore, it discusses the ethical dimensions of these technologies and how they may transform parenting processes in the future.
This study proposes a Retrieval-Augmented Generation (RAG)-based artificial intelligence system capable of transforming legal problems expressed by citizens in natural language into formal petitions adhering to official writing conventions. While current large language models demonstrate significant linguistic proficiency in legal text generation, they exhibit limitations in contextual accuracy and the production of regulation-based references. The proposed system semantically indexes legal legislation texts, matching user queries with relevant regulations and generating text solely based on the retrieved context. This approach reduces the risk of hallucination, thereby increasing reliability in legal text production. The system analyzes user input to determine the type of event, selects appropriate legal grounds, and generates petition outputs in a formal format. This study highlights the importance of context-based generation architecture in the design of digital legal support systems and presents a viable model for citizen-centric artificial intelligence applications.
For many years, accounting departments have operated under a heavy operational burden, grappling with intensive data entry, document processing, and regulatory compliance. However, with the increasing accessibility of artificial intelligence technologies, the accounting function is evolving from a mere record-keeping entity into a strategic role that provides decision support. This article explores how AI can be positioned within accounting processes and how it can offer businesses advantages in terms of cost, speed, and accuracy, all from a business perspective.
The steel industry is characterized by high price volatility and susceptibility to global economic influences, necessitating rapid and accurate analysis. However, data collection and evaluation processes within the sector are largely conducted manually. This study examines the structure of an AI-powered analysis and decision support system specifically developed for the steel market, and its potential contributions to the industry. By integrating automated data collection, analytical modeling, and AI-based interpretation mechanisms, the system offers companies a time-saving, accessible, and strategic solution.
This article explores the potential of using open-source satellite data and fundamental artificial intelligence methods to identify prospective archaeological sites. In situations where traditional excavation methods are limited by cost and time constraints, remote sensing and machine learning techniques offer a supportive tool for the preliminary exploration process. Through spectral analyses and anomaly detection methods performed on freely available satellite data, such as Sentinel-2, the likelihood of subsurface anthropogenic structures can be determined. This study proposes a low-cost and accessible approach to digital archaeology.
A smart digital guide application model is proposed that displays nearby places on a map based on the user's current location and provides AI-powered summary information about selected points of interest. Unlike classic map applications, the developed system not only lists places but also generates concise, natural language answers to questions such as "What is it famous for?", "What feature is most liked?", and "Why should I go, in short?" about the location the user clicks on. By combining location services with large language models, the application aims to provide a dynamic, contextual, and user-friendly experience. This model offers a next-generation digital guide solution in tourism technologies based on an AI-driven content understanding and summarization approach.
Relationship conflicts often escalate due to a lack of communication, misunderstandings, and heightened emotions. AI-powered marital mediators help couples address their issues on a healthier footing by offering impartial analysis, empathetic listening, and data-driven assessments. This technology provides a robust pre-support mechanism to traditional counseling processes, thanks to its advantages of impartiality, confidentiality, accessibility, and systematic analysis.
Depremler engellenemez ve mevcut bilimsel imkânlarla kesin zaman tahmini yapılamaz. Ancak afetlerin yıkıcı etkisi, doğru veri analizi ve sistematik müdahale planlaması ile önemli ölçüde azaltılabilir. Bu makale, yapay zekanın deprem tahmini iddiası yerine; risk önceliklendirme, hasar analizi, kaynak optimizasyonu ve senaryo simülasyonu alanlarında nasıl stratejik bir karar destek aracı olarak kullanılabileceğini ele almaktadır. Amaç, yapay zekayı bir kehanet aracı değil, şehir ölçeğinde direnç ve hazırlık kapasitesini artıran bir yönetim katmanı olarak konumlandırmaktır.
This article examines the rising role of artificial intelligence in the business world and the new relationship it is forging with employees. No longer merely a technological tool, artificial intelligence is evolving into a digital “colleague” that provides support to employees across various sectors. The article highlights how AI boosts efficiency by taking over repetitive tasks, while underscoring the enduring importance of human skills such as empathy and strategic thinking. Furthermore, it is noted that for artificial intelligence to become a true colleague, it must integrate into business processes and play an active role in areas such as task tracking and data management.
This article examines the impact of AI-powered automation systems on the contemporary business world and daily life. Automation enables the execution of repetitive tasks by systems without the need for human intervention. When combined with artificial intelligence, automation not only accelerates processes but also provides more efficient solutions through its learning and decision-making capabilities. Its usage is becoming increasingly prevalent in corporate sectors such as customer service, human resources, manufacturing, and logistics. In daily life, smart assistants, navigation applications, and smart home systems are simplifying the lives of individuals. It is anticipated that AI-powered automation will continue to evolve, making significant contributions from both economic and social perspectives in the future.
This article examines the role and importance of artificial intelligence in the healthcare industry. Today, AI-powered systems are utilized in a wide range of areas, from the early diagnosis of diseases to the development of personalized treatment methods. Thanks to smartphones and digital health applications, artificial intelligence can provide health guidance, acting much like a doctor carried in one's pocket. However, it is not possible for artificial intelligence to completely replace doctors; rather, it enhances healthcare services as a supportive tool. It is predicted that artificial intelligence will make the healthcare industry more efficient, faster, and safer in the future.
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