artificial intelligence

The Impact of Digitalization on Enterprise Scaling and Transformation

The paper reveals the essence of business scaling tools, which are considered as a set of interrelated technological, organizational and digital solutions. These tools are aimed at ensuring flexibility, efficiency and effectiveness in the process of expanding the activities of enterprises, especially when entering international markets. This includes, in particular, the use of digital platforms, ERP systems, cloud technologies, intelligent management systems, as well as demand forecasting and supply chain optimization models.

Key Trends and Challenges in the Global Ecosystem of Ai-Focused Startups

The modern global startup ecosystem is a dynamic and rapidly evolving environment that is crucial to economic growth and technological advancement. This article examines the key trends, challenges, and opportunities that shape the development of the global startup ecosystem. The research focuses on the impact of digital transformation, venture capital investment, and governmental policies on startup suc- cess. Additionally, the study explores regional disparities in startup growth, emphasizing the role of inno- vation hubs and accelerators in fostering entrepreneurial activity.

Automation of Formation of a Specialist's Professional Curriculum Based on Analysis of Vacancies and Text Data

The article explores the development and implementation of an automated system for constructing professionograms of artificial intelligence (AI) specialists using modern information technologies. Against the backdrop of an ever-evolving digital economy and rising demand for qualified AI professionals, the study highlights the need for accurate and scalable tools to identify and assess relevant competencies.

ARTIFICIAL INTELLIGENCE AND REIMAGINING OF PRODUCT COMPETITIVENESS: AN ANALYSIS OF EMERGING DETERMINANTS

Purpose. The primary objective of this research is to identify, classify, and analyze the emerging AI-driven factors that determine product competitiveness in the digital era. The study specifically explores how AI integration – through mechanisms such as deep personalization, real-time adaptability, and autonomous optimization – creates a new paradigm for achieving competitive advantage. It also develops strategic recommendations for firms seeking to enhance their market positions.

MODELING OF ARTIFICIAL INTELLIGENCE FOR REVENUE FORECASTING

In this study, it was analyzed the ability to forecast the revenues of major corporations such as Apple, Amazon, GE, IBM, and ExxonMobil using Random Forest and XGBoost machine learning algorithms, as well as Tableau as a benchmark analytics tool. The main objective was to assess the accuracy of these methods and their capability to predict financial indicators based on historical data. Google Colab was used as the computational environment, which enabled seamless integration of algorithms, handling of large datasets, and rapid model testing.

A UNIFIED SYSTEM FOR AI-GENERATED IMAGE AUTHENTICATION AND MANAGEMENT

This article presents the development of an image generation system that employs digital watermarking and metadata embedding technologies to determine whether an image has been generated by an AI model. The system acts as an intermediary service between providers (web services with generation models) and end users, ensuring seamless integration of these technologies. With the growing volume of AI-generated content, distinguishing such images from authentic ones has become increasingly challenging.

METHODOLOGY FOR IMPLEMENTING SELF-LEARNING FEEDBACK MODELS IN CRM SYSTEMS: COMPARATIVE ANALYSIS OF EFFECTIVENESS

The article proposes a methodology for implementing self-learning feedback models in Customer Relationship Management (CRM) systems. It examines the key issues of existing CRM systems, including insufficient adaptability to changes in customer behavior and limited capabilities for automatic data analysis.

The Impact of Artificial Intelligence on Human Cultural Rights

The article reflects on the impact of artificial intelligence on the realization of cultural human rights in the context of digital transformation. The author analyzes how the latest technologies affect access to cultural resources, participation in cultural life, and preservation of cultural heritage. Particular attention is paid to the theoretical, legal and ethical aspects of the use of AI in the field of culture.

Comparison of the use of AI services based on general natural language for generating images for fiction

The article describes a method of image generation with Artificial Intelligence services Dall-e, MidJourney and Stable Diffusion using text abstraction retrieved with Artificial Intelligence services ChatGPT, Claude, Copilot, PI, Gemini, that work with natural language.  The implementation of the new approach gives a significant gain in image quality and consistency with analysed text.  The methodology is based on using neural network API services instead of commonly used natural language algorithms to extract keywords or sentences.

Recommendations for Implementing Artificial Intelligence Tools in the Management of Tradeukrservice, Llc for Entry Into Foreign Markets

The article explores artificial intelligence (AI)-based tools and the potential for their application in enterprise management for entering foreign markets. The authors examine AI tools, highlighting their relevance in managing enterprises as they expand internationally, particularly for TradeUkrService LLC. The article identifies the main areas where AI systems can be applied during international market entry, highlighting their key benefits and drawbacks. It also addresses challenges the company may face in implementing AI tools in management when venturing abroad.