Practical Analytics 2nd Edition Ebook
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Artificial Intelligence and Taxation Law
This book identifies how artificial intelligence (AI) systems can be used as part of decision processes within international tax and transfer pricing disputes. The issue of double taxation and its impact on economic development continues to escalate as globalization causes states to interact on a growing scale. In recent years, AI applications have shown potential to solve this issue, particularly in reference to the length of time taken to resolve cases of double taxation in the field of transfer pricing. These cases can typically take at least two or more years to resolve, resulting in high cost to taxpayers and tax administrations. The book identifies the current legal frameworks available to prevent and solve tax and more specific transfer pricing disputes and details their advantages and disadvantages. Providing an analysis of what AI can offer to different legal principles, it shows how this can challenge existing rules, and the changes this requires within the legal framework. The book provides an overview of the challenges and opportunities that lie at the intersection of AI systems and the domain of international law, providing case studies to demonstrate its practical applications. It asks and answers the fundamental question: Can AI, or more specifically machine learning (ML), replace human decisions within the resolution of international tax and transfer pricing disputes? The book will be of interest to researchers in the field of tax law, data protection law, consumer protection law, intellectual property law and artificial intelligence.
Data-Driven Organization Design
Author: Rupert Morrison
language: en
Publisher: Kogan Page Publishers
Release Date: 2021-10-03
SHORTLISTED: CMI Management Book of the Year 2017 - Management Futures Category Understand how to drive business performance with your organizational data and analytics in the second edition of Data-Driven Organization Design. Using data and analytics is a key opportunity for businesses to transform performance and achieve success. With a data-driven approach, all the elements of the organizational system can be connected to design an environment in which people can excel and attain competitive advantage. Data-Driven Organization Design provides a practical framework for HR and organization design practitioners to build a baseline of data, set objectives, carry out fixed and dynamic process design, map competencies, and right-size the organization. It shows how to collect the right data, present it meaningfully and ask the most relevant questions of it to help complex, fluid organizations constantly evolve and meet moving objectives. This updated second edition contains new material on organizational planning and analysis, role design and job architecture, position management lifecycle and delta reporting. Alongside this, new case studies and examples will show how these approaches have been applied in practice. Whether planning a long-term transformation, a large redesign or an individual small project, Data-Driven Organization Design will demonstrate how to make the most of your organizational data and analytics to drive business performance.
Software Methodologies
This comprehensive reference uses a formal and standard evaluation technique to show the strengths and weakness of more than 60 software development methodologies such as agile, DevOps, RUP, Waterfall, TSP, XP and many more. Each methodology is applied to an application of 1000 function points using the Java language. Each methodology produces a characteristic set of results for development schedules, productivity, costs, and quality. The intent of the book is to show readers the optimum kinds of methodologies for the projects they are concerned with and to warn them about counter indications and possible harm from unsuitable methodologies.