AI Frameworks and Tools for Software Development

The rapid advancements in artificial intelligence (AI) are transforming how organizations approach software development, creating both opportunities and challenges in the workplace. As AI tools become more mainstream, understanding their role, as well as the responsibilities of users, is crucial for ensuring their effective integration into software development processes. A clear framework for introducing AI in Information Systems Management can significantly enhance the efficiency and effectiveness of development teams and their external stakeholders. AI Frameworks and Tools for Software Development presents the best practices, research findings, and guidelines for using AI frameworks and tools in software development. It provides a holistic understanding of these key processes, functions, and workflows that are essential for effective Software Development Lifecycle (SDLC). Covering topics such as industrial automation, knowledge management, and code reusability, this book is an excellent resource for software developers, computer scientists, professionals, researchers, scholars, academicians, and more.

Rahul Patel is a seasoned Cyber Security professional with over 25 years of experience defending the Availability, Confidentiality, and Integrity of information assets in the banking industry and government. He is presently leading security and risk management efforts at the local government agency. Patel's responsibilities include identifying and evaluating risks and driving the implementation of solutions to mitigate information security exposures through continuous research of the latest security vulnerabilities, threats, capabilities, and mitigation techniques. Patel holds a PhD in Management of Information Systems from Northcentral University and several industry certifications including PMP, CISM, CISSP.