Whitepaper: The use of AI is on the rise in the financial sector. Utilizing machine learning algorithms to make decisions and predictions based on the available data can be highly valuable. AI offers benefits to both financial service providers and its customers by improving service and reducing costs. Examples of AI use cases in the financial sector are: identity verification in client onboarding, transaction data analysis, fraud detection in claims management, anti-money laundering monitoring, price differentiation in car insurance, automated analysis of legal documents, and the processing of loan applications.
This module for Involving Anthropology presents an account of one of the plenary debates held at the International Union of Anthropological and Ethnological Sciences (IUAES) World Congress held at Manchester University, 5-10 August 2013. The module begins with a brief introduction to provide the context for the debate, which included two speakers for (Amita Baviskar and Don Nonini) and two speakers against (Helen Kopnina and Veronica Strang) the motion: ‘Justice for people must come before justice for the environment’. The introduction is followed by an edited transcript of John Gledhill’s welcome and introduction, the texts of the arguments made by each speaker for and against the motion (with the exception of Veronica Strang, whose presentation is being published elsewhere a summary of the comments and questions subsequently invited from the floor of the hall, and then a transcript of the responses of the presenters. https://doi.org/10.1080/00664677.2015.1102229 https://www.linkedin.com/in/helenkopnina/
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The subject of this textbook is a methodical approach on the complex problem-solving process of conceptual structural design, leading to a controlled build-up of insight into the behaviour of the structure and supporting the actual successive design decisions during the conceptual design phase on the basis of a coherent set of solution components.
