Artificial intelligence (AI) is a key to strategic operational efficiency and competitiveness for enterprises. In this context, Grok, developed by xAI, has rapidly attracted attention in the enterprise solutions space as a large language model (LLM) equipped with real-time data processing and advanced reasoning capabilities.

Generative AI has become a core driver of operational efficiency and innovation in enterprises. Among these models, Claude — the large language model (LLM) developed by Anthropic — has attracted attention for prioritizing safety and human-centered design. Its unique approach, Constitutional AI, aims to produce ethically guided and more transparent responses.

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.

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.

Artificial Intelligence (AI) is revolutionizing the software development landscape, and GitHub Copilot, a collaboration between GitHub, OpenAI, and Microsoft, is at the forefront of this change. More than just a code completion tool, Copilot has evolved into a full-fledged development assistant offering code generation, review support, and learning assistance.

The evolution of AI technology has reached a critical point for IT decision-makers in Japanese enterprises. According to the "DX Trends 2024" by Japan's Information-technology Promotion Agency (IPA), only 19.2% of Japanese companies report having implemented generative AI, a rate that remains virtually unchanged from 2022. In contrast, adoption in the U.S. stands at 40.4%, revealing a significant gap. Barriers include cost, implementation complexity, and legal compliance.