Generative Analysis
Download Generative Analysis PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Generative Analysis book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Artificial Intelligence for Financial Risk Management and Analysis
Author: Derbali, Abdelkader Mohamed Sghaier
language: en
Publisher: IGI Global
Release Date: 2025-04-08
The revolution of artificial intelligence (AI) impacts various business sectors, including accounting and finance. Machine intelligence is on the rise in human interaction, as novel technologies automate tasks and enhance human capabilities at an increasingly rapid rate. While AI has the potential to assist in the identification and management of risks, such as in financial risk measurement, analysis, and management, the disruptive nature of these emerging technologies introduces new and complex scenarios. Utilizing these technologies to facilitate decision-making processes could result in biased, inequitable, and unreliable decisions, giving rise to concerns regarding data, privacy, and security. Further research is necessary to understand the implications of AI in financial practices. Artificial Intelligence for Financial Risk Management and Analysis delves into the most recent advancements in AI technologies that facilitate risk analysis and decision-making. It examines the potential risks these technologies pose to individuals, businesses, and establishments. Covering topics such as firm management, automation, and long short-term memory (LSTM) networks, this book is an excellent resource for financial advisors, banking professionals, computer scientists, professionals, researchers, academicians, and more.
Generative Analysis
Author: Jim Arlow
language: en
Publisher: Addison-Wesley Professional
Release Date: 2025-06-30
Learn Generative Analysis--a New Method of Object-Oriented Analysis--to Keep Pace with How Generative AI Is Transforming the Face of Software Engineering Generative AI is revolutionizing software engineering--many aspects of manual coding are becoming automated, and the skills needed by software engineers, developers, and analysts are evolving. Anyone who writes or works with code will need to produce precise analysis artifacts to feed the AI code-generation process. Enter generative analysis: a precise, structured way for software engineers, programmers, and analysts to transition to this new, AI-enhanced software engineering world. In Generative Analysis, experts Jim Arlow and Ila Neustadt leverage Literate Modeling, M++, and multivalent logic to lay out a step-by-step approach to object-oriented analysis that produces clear and unambiguous results suitable for further processing into code by generative AI systems such as Copilot, ChatGPT, and Gemini. Prepare for the challenge of the future by understanding the flexibility you already have at hand using generative analysis. Gain a new perspective on the shift to generative AI-based programming models Understand how generative analysis artifacts feed generative AIs to generate code and UML models Explore techniques that feed into and refine each other until a precise analysis definition of a software system is achieved Recognize milestones and end points to eliminate "analysis paralysis" Learn to work at the right level of abstraction to leverage the most power from generative AI Gain understanding from real-world, detailed examples of prompts and AI responses This guide teaches advanced, precise, and sophisticated analysis techniques that will allow you to thrive in the new world of software engineering with generative AI. Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Morphological Analysis of Cultural DNA
This volume describes research in computational design which implements shape grammars or space syntax for morphological analysis, applying these scientific and rule-based methodologies to cultural aspects of the field. The term ‘cultural DNA’ describes the effort to explore computational design from the perspectives of a meme, a socio-cultural analogy to genes. Based on the 1st Cultural DNA Workshop, held at KAIST, Daejeon, Korea in 2015, the book considers whether there is such a thing as a ‘cultural DNA’ common throughout various domains, and if so how computer-assisted tools and methodologies play a role in its investigation. Following an introduction covering some fundamental theories of cultural DNA research, part two of the book describes morphological analysis in architecture, with examples from Malaysia and China. Part three then moves up to morphological analysis at the urban scale, including discussion of morphological evolution in France, development of a model Korean city, and introducing a rule-based generative analysis approach for urban planning. Part four considers methods for analysing the DNA of other cultural artefacts such as online games, novels, cars, and music, and part five introduces the tools under development that aid morphological cultural DNA research including topics about shape grammar, building information modeling (BIM), cultural persona, and prototyping. The book will be of significant interest to those involved in the cultural aspects of urban and architectural design, cultural informatics and design research.
