Today, while our Smart Products (like wireless devices, mobile phones, computers, TVs, etc.) are becoming smarter and their size shrinking, we are witnessing an increased use of AI in knowledge engineering for developing such “smart” features, logics, and behaviors. There is a series of ongoing intensive debates in computer Science research communities on the importance of AI & KE for formulating this new smarter business world.
In recent years, the conventional techniques of product development approaches have evolved into utilizing more and more of AI and generative knowledge-based techniques to handle and solve their lean issues & enhance productivity. As a result, the new AI & KE approaches have found many application-grounds and opportunities not only in the popular economic worlds of New Product Development (NPD) but also in other emerging areas such as education, urban planning, process planning, manufacturing, governance, healthcare, and so on.
Today, many American and international organizations are adopting AI and Knowledge Engineering techniques, tools, and their process frameworks for gaining key strategic advantages over their competitors, and for obtaining supremacy in collaborative product/process development and global competitiveness.