Building Intelligent Information Systems Software shows scientists and engineers how to build applications that model complex information, data, and knowledge without the need for coding. Traditional software development takes time and leads to inflexible, complicated applications that almost, but don’t exactly, meet the intended needs. Requirements can change, sometimes mid-development, and adapting existing systems can be difficult. Individual solutions can be incompatible, leading to information silos and inefficiency throughout an organization. This book offers a solution – the Information Unit Model, an innovative architecture for translating domain knowledge into applications. By encapsulating the complexities of computing, the Unit Model allows engineers to focus on business or experimental needs. Author Tom Feigenbaum, inventor of the Unit Modeler, demonstrates this innovative software architecture for rapid application design and development. His approach promotes repurposing pre-existing tools and libraries, and collaborating across the cloud, to promote information sharing and efficient development practices. Each concept is illustrated with examples including file management, data management, and 3D visualization.
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Tom Feigenbaum is Founder, Chief Executive Officer, and Chief Technologist of Ke Labs. He designed and built the initial versions of, and continues to serve as the primary architect of, the Unit Modeler® technology upon which the examples in this book are built. With a lifelong interest in the field of artificial intelligence and the goal of making software more intelligent, Feigenbaum conceived the Information Unit Model as a language that intuitively describes the components of intelligent, information-based software applications. He has been a programmer and developer throughout his career, including GUI, graphics, network communications, databases, video, and inter-process communications. Prior to establishing Ke Labs, Feigenbaum founded ProSolv to develop educational software for physics and math as well as enterprise-level information management solutions for the clinical analysis and management of digital medical images within healthcare provider organizations.
Building Intelligent Information Systems Software shows scientists and engineers how to build applications that model complex information, data, and knowledge without the need for coding. Traditional software development takes time and leads to inflexible, complicated applications that almost, but don’t exactly, meet the intended needs. Requirements can change, sometimes mid-development, and adapting existing systems can be difficult. Individual solutions can be incompatible, leading to information silos and inefficiency throughout an organization. This book offers a solution – the Information Unit Model, an innovative architecture for translating domain knowledge into applications. By encapsulating the complexities of computing, the Unit Model allows engineers to focus on business or experimental needs. Author Tom Feigenbaum, inventor of the Unit Modeler, demonstrates this innovative software architecture for rapid application design and development. His approach promotes repurposing pre-existing tools and libraries, and collaborating across the cloud, to promote information sharing and efficient development practices. Each concept is illustrated with examples including file management, data management, and 3D visualization.
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