Artificial intelligence (AI) has become an essential tool for businesses and industries, from healthcare to finance. However, the widespread adoption of AI has also led to fragmentation in the development of AI systems. This fragmentation can create challenges in terms of interoperability, transparency, and ethical considerations. In this article, we will explore the fragmentation challenge in AI and how the AISHE-System can help overcome these challenges. AI: Fragmentation Challenge in AI with AISHE Fragmentation in AI refers to the lack of standardization and interoperability between different AI systems. This can result in data silos, inefficiencies, and limited access to important information. Fragmentation can also lead to ethical concerns, such as bias and discrimination, which can have serious consequences for individuals and society. The AISHE-System, or Artificial Intelligence Highly Experienced System, is a platform designed to overcome the fragmentation ...