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U.S. v. Microsoft and the related state suit filed in 1998 appear finally to have concluded. In a unanimous en banc decision issued in late June 2004, the D.C. Circuit Court of Appeals rejected challenges to the remedies approved by the District Court in November 2002. The wave of follow-on private antitrust suits filed against Microsoft also appears to be subsiding. In this paper we review the remedies imposed in the United States, in terms of both their relationship to the violations found and their impact on consumer welfare. We conclude that the remedies addressed the violations ultimately found by the Court of Appeals (which were a subset of those found by the original district court and an even smaller subset of the violations alleged, both in court and in public discourse) and went beyond them in important ways. Thus, for those who believe that the courts were right in finding that some of Microsoft's actions harmed competition, the constraints placed on its behavior and the active, ongoing oversight by the Court and the plaintiffs provide useful protection against a recurrence of such harm. For those who believe that Microsoft should not have been found liable because of insufficient evidence of harm to consumers, the remedies may be unnecessary, but they avoided the serious potential damage to consumer welfare that was likely to accompany the main alternative proposals. The remedies actually imposed appear to have struck a reasonable balance between protecting consumers against the types of actions found illegal and harming consumers by unnecessarily restricting Microsoft's ability to compete.

Microsoft Corporation.

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"In this practical book, readers will learn how Microsoft Power Platform works with different technologies like Azure and Dynamics 365 and gives a detailed description of how AI Builder can be integrated with CDS and Dynamics 365 to provide business solutions. In addition, it demonstrates how powerful machine learning models using Azure, such as Azure Stream Analytics, Azure Databricks, and Azure Synapse Analytics, can be built. Crammed with clear explanations, visualizations, and working examples, the book covers all the essential machine learning techniques in depth. The book will help you in determining the right algorithms for supervised, unsupervised, and reinforcement learning using Microsoft machine learning tools and technologies. The fusion of these two technologies will help all business verticals, primarily, finance and operations, retail, telecommunications, and manufacturing industries. It will help transform businesses by reducing manual processes and making them more efficient. Readers will learn: Why machine learning is so important in today's fast-paced world How can machine learning and AI be used in Dynamics 365 and Power Platform? Gain a better understanding of the potential of using machine learning in Dynamics 365 Power Platform How adopting machine learning will redefine the future of ERP and/or CRM system Create and manage environments for development, testing, and production of a machine learning project Why readers should select the correct ML approach and apply the appropriate algorithms using Dynamics 365 What machine learning is all about and how it can be applied into the reader's Dynamics 365 Power Platform Projects."--

Machine learning. --- Microsoft Corporation.

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Computer software industry --- Microsoft Corporation. --- Microsoft --- Programming

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Success in business --- Microsoft Corporation --- Management.

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"The cofounder of Microsoft, Bill Gates helped transform society by ushering in the era of ubiquitous personal computing. This book examines the life and achievements of this standout American inventor and philanthropist"--

Businessmen --- Gates, Bill, --- Microsoft Corporation --- History.