AI-Powered ATS for Streamlined Recruitment
Building an AI-based, all-in-one ATS to manage the entire recruitment lifecycle and connect recruiters with headhunters and candidates.
Building an AI-based, all-in-one ATS to manage the entire recruitment lifecycle and connect recruiters with headhunters and candidates.
On August 7, 2025, OpenAI announced GPT-5, the latest and most capable model in its ChatGPT product line. Positioned as a major leap over GPT-4o and other predecessors, GPT-5 delivers state-of-the-art performance across coding, mathematics, writing, health, and multimodal reasoning.
Legacy system aging and technical debt are significant barriers to DX (Digital Transformation), driving up operating costs and expanding security risks. Especially with mission-critical systems built on older technologies like COBOL or VB6, there are clear and urgent risks, such as difficulties securing engineers and potential maintenance failures.
AI agents are gaining attention as powerful tools for automating and streamlining operations. For technology-driven companies in particular, reducing repetitive tasks, accelerating data analysis, and enhancing customer support are critical to boosting competitiveness. However, many organizations face challenges such as “where to start” and “how best to deploy them” when considering adoption.
With the evolution of AI technologies, AI agent tools are becoming essential drivers of business process automation and operational efficiency.
Especially for technology-driven companies, reducing repetitive tasks, enhancing data analysis, and strengthening customer support are crucial sources of competitive advantage.
However, with so many tools available, selecting the one best suited to your organisation—and implementing it effectively—is no easy task.
Over the years of operation, enterprise IT systems tend to grow overly complex and outdated, losing maintainability and scalability—a problem known as “legacy.”
Many organisations still rely on older languages such as COBOL or VB6, which creates significant business risks.
Outdated operating systems with ended support, operations dependent on specific individuals, elevated security risks, and stubbornly high operating costs.
To fully realize digital transformation (DX), it is essential to resolve these issues and modernize to a flexible, cutting-edge IT foundation.
Artificial intelligence (AI) continues to evolve to meet a wide range of modern-day needs—workflow automation, data analysis, customer support, and more. Among the newest entrants, Claude, developed by Anthropic, has attracted attention as a large-language model (LLM) that prioritizes safety and ethics through a unique “Constitutional AI” approach. Competing with ChatGPT and Gemini, Claude positions itself as a highly trustworthy option for enterprises and researchers alike.
Virtual Reality (VR) is a technology that allows people to experience computer-generated virtual spaces as though they were real. By wearing VR goggles, users are immersed in a 360-degree world. Combining visual, auditory, and tactile feedback makes it possible to enjoy experiences that would be difficult—or even impossible—in the real world. As of 2025, VR is revolutionizing not only gaming but also medicine, education, tourism, real estate, and many other fields.
Smartphone ubiquity has made mobile apps indispensable to business. In particular, cross-platform development for both iOS and Android has attracted attention as a means to reduce costs and improve efficiency.
In this article, we introduce the features and real-world use cases of Flutter, React Native, .NET MAUI, Cordova, and Ionic, compare their strengths and challenges, and provide information to help you choose the best framework for your project.
Low-code development is rapidly gaining ground across enterprises as a practical approach to accelerate digital transformation. By using intuitive visual interfaces and minimizing the need for traditional programming, platforms like FlutterFlow, Bubble, OutSystems, and Mendix empower organizations to build scalable applications faster and at reduced cost. These platforms enable not only rapid prototyping and MVP launches but also system modernization and integration with legacy infrastructure.